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Prof. Dragan Pamucar
University of defence, Department of Logistics, Serbia

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Research Keywords & Expertise

0 Fuzzy Logic
0 Uncertainty
0 Fuzzy Approach
0 fuzzy numbers
0 Fuzzy analytic hierarchy process

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multicriteria decision making
Uncertainty
Fuzzy Logic
fuzzy numbers
Fuzzy Approach
Rough sets
neutrosophic theory

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Journal article
Published: 27 August 2021 in Entropy
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Recently, there has been enormous development due to advancements in technology. Industries and enterprises are moving towards a digital system, and the oil and gas industries are no exception. There are several threats and risks in digital systems, which are controlled through cyber-security. For the first time in the theory of fuzzy sets, this research analyzes the relationships between cyber-security and cyber-crimes in the oil and gas sectors. The novel concepts of complex intuitionistic fuzzy relations (CIFRs) are introduced. Moreover, the types of CIFRs are defined and their properties are discussed. In addition, an application is presented that uses the Hasse diagram to make a decision regarding the most suitable cyber-security techniques to implement in an industry. Furthermore, the omnipotence of the proposed methods is explained by a comparative study.

ACS Style

Naeem Jan; Abdul Nasir; Mohsin S. Alhilal; Sami Ullah Khan; Dragan Pamucar; Abdulrahman Alothaim. Investigation of Cyber-Security and Cyber-Crimes in Oil and Gas Sectors Using the Innovative Structures of Complex Intuitionistic Fuzzy Relations. Entropy 2021, 23, 1112 .

AMA Style

Naeem Jan, Abdul Nasir, Mohsin S. Alhilal, Sami Ullah Khan, Dragan Pamucar, Abdulrahman Alothaim. Investigation of Cyber-Security and Cyber-Crimes in Oil and Gas Sectors Using the Innovative Structures of Complex Intuitionistic Fuzzy Relations. Entropy. 2021; 23 (9):1112.

Chicago/Turabian Style

Naeem Jan; Abdul Nasir; Mohsin S. Alhilal; Sami Ullah Khan; Dragan Pamucar; Abdulrahman Alothaim. 2021. "Investigation of Cyber-Security and Cyber-Crimes in Oil and Gas Sectors Using the Innovative Structures of Complex Intuitionistic Fuzzy Relations." Entropy 23, no. 9: 1112.

Article
Published: 17 August 2021 in Environment, Development and Sustainability
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Increasing the use of marine transportation has many benefits, ranging from the diversion of human traffic into different modes to the reduction in greenhouse gas (GHG) emissions because of reduced road traffic congestion. Since road traffic congestion has become a major issue for many cities, utilization of marine transportation is a point of interest for authorities. The supply chain of spare parts, batteries, etc., must also be carefully considered since the availability of materials is an important matter for such transitions. In this study, four alternatives, which are selected considering a sustainable transition to a more developed marine transportation system, are presented, namely optimizing the performance of ferry operations, converting current ferries into hybrid ferries, converting current ferries into electric ferries, and purchasing a new electric ferry fleet. Experts are consulted to receive their assessments of these alternatives according to various criteria, including sustainability measures and supply chain, defined under 4 main criteria topics, which are technical aspect, operational aspect, environmental aspect, and cost aspect. We aim to propose a novel weighted aggregated sum product assessment (WASPAS) approach based on the fuzzy Hamacher weighted averaging (FHWAA) function and weighted geometric averaging (FHWGA) function for advantage prioritization of the sustainable supply chain of the electric ferry. A case study is used to illustrate the formulation and solution of the problem. According to the expert views, it is seen that purchasing a new electric fleet is the most advantageous alternative. With a transition to more developed and sustainable marine transportation, this study provides the most advantageous alternative to authorities.

ACS Style

Dragan Pamucar; Muhammet Deveci; Ilgin Gokasar; Milena Popovic. Fuzzy Hamacher WASPAS decision-making model for advantage prioritization of sustainable supply chain of electric ferry implementation in public transportation. Environment, Development and Sustainability 2021, 1 -40.

AMA Style

Dragan Pamucar, Muhammet Deveci, Ilgin Gokasar, Milena Popovic. Fuzzy Hamacher WASPAS decision-making model for advantage prioritization of sustainable supply chain of electric ferry implementation in public transportation. Environment, Development and Sustainability. 2021; ():1-40.

Chicago/Turabian Style

Dragan Pamucar; Muhammet Deveci; Ilgin Gokasar; Milena Popovic. 2021. "Fuzzy Hamacher WASPAS decision-making model for advantage prioritization of sustainable supply chain of electric ferry implementation in public transportation." Environment, Development and Sustainability , no. : 1-40.

Journal article
Published: 13 August 2021 in Axioms
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Modeling uncertainties with spherical linear Diophantine fuzzy sets (SLDFSs) is a robust approach towards engineering, information management, medicine, multi-criteria decision-making (MCDM) applications. The existing concepts of neutrosophic sets (NSs), picture fuzzy sets (PFSs), and spherical fuzzy sets (SFSs) are strong models for MCDM. Nevertheless, these models have certain limitations for three indexes, satisfaction (membership), dissatisfaction (non-membership), refusal/abstain (indeterminacy) grades. A SLDFS with the use of reference parameters becomes an advanced approach to deal with uncertainties in MCDM and to remove strict limitations of above grades. In this approach the decision makers (DMs) have the freedom for the selection of above three indexes in [0,1]. The addition of reference parameters with three index/grades is a more effective approach to analyze DMs opinion. We discuss the concept of spherical linear Diophantine fuzzy numbers (SLDFNs) and certain properties of SLDFSs and SLDFNs. These concepts are illustrated by examples and graphical representation. Some score functions for comparison of LDFNs are developed. We introduce the novel concepts of spherical linear Diophantine fuzzy soft rough set (SLDFSRS) and spherical linear Diophantine fuzzy soft approximation space. The proposed model of SLDFSRS is a robust hybrid model of SLDFS, soft set, and rough set. We develop new algorithms for MCDM of suitable clean energy technology. We use the concepts of score functions, reduct, and core for the optimal decision. A brief comparative analysis of the proposed approach with some existing techniques is established to indicate the validity, flexibility, and superiority of the suggested MCDM approach.

ACS Style

Masooma Raza Hashmi; Syeda Tayyba Tehrim; Muhammad Riaz; Dragan Pamucar; Goran Cirovic. Spherical Linear Diophantine Fuzzy Soft Rough Sets with Multi-Criteria Decision Making. Axioms 2021, 10, 185 .

AMA Style

Masooma Raza Hashmi, Syeda Tayyba Tehrim, Muhammad Riaz, Dragan Pamucar, Goran Cirovic. Spherical Linear Diophantine Fuzzy Soft Rough Sets with Multi-Criteria Decision Making. Axioms. 2021; 10 (3):185.

Chicago/Turabian Style

Masooma Raza Hashmi; Syeda Tayyba Tehrim; Muhammad Riaz; Dragan Pamucar; Goran Cirovic. 2021. "Spherical Linear Diophantine Fuzzy Soft Rough Sets with Multi-Criteria Decision Making." Axioms 10, no. 3: 185.

Journal article
Published: 01 August 2021 in Symmetry
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The role of symmetry in ring theory is universally recognized. The most directly definable universal relation in a symmetric set theory is isomorphism. This article develops a certain structure of bipolar fuzzy subrings, including bipolar fuzzy quotient ring, bipolar fuzzy ring homomorphism, and bipolar fuzzy ring isomorphism. We define (α,β)-cut of bipolar fuzzy set and investigate the algebraic attributions of this phenomenon. We also define the support set of bipolar fuzzy set and prove various important properties relating to this concept. Additionally, we define bipolar fuzzy homomorphism by using the notion of natural ring homomorphism. We also establish a bipolar fuzzy homomorphism between bipolar fuzzy subring of the quotient ring and bipolar fuzzy subring of this ring. We constituted a significant relationship between two bipolar fuzzy subrings of quotient rings under a given bipolar fuzzy surjective homomorphism. We present the construction of an induced bipolar fuzzy isomorphism between two related bipolar fuzzy subrings. Moreover, to discuss the symmetry between two bipolar fuzzy subrings, we present three fundamental theorems of bipolar fuzzy isomorphism.

ACS Style

Hanan Alolaiyan; Muhammad Mateen; Dragan Pamucar; Muhammad Mahmmod; Farrukh Arslan. A Certain Structure of Bipolar Fuzzy Subrings. Symmetry 2021, 13, 1397 .

AMA Style

Hanan Alolaiyan, Muhammad Mateen, Dragan Pamucar, Muhammad Mahmmod, Farrukh Arslan. A Certain Structure of Bipolar Fuzzy Subrings. Symmetry. 2021; 13 (8):1397.

Chicago/Turabian Style

Hanan Alolaiyan; Muhammad Mateen; Dragan Pamucar; Muhammad Mahmmod; Farrukh Arslan. 2021. "A Certain Structure of Bipolar Fuzzy Subrings." Symmetry 13, no. 8: 1397.

Journal article
Published: 30 July 2021 in Entropy
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A complex fuzzy set is a vigorous framework to characterize novel machine learning algorithms. This set is more suitable and flexible compared to fuzzy sets, intuitionistic fuzzy sets, and bipolar fuzzy sets. On the aspects of complex fuzzy sets, we initiate the abstraction of (α,β)-complex fuzzy sets and then define α,β-complex fuzzy subgroups. Furthermore, we prove that every complex fuzzy subgroup is an (α,β)-complex fuzzy subgroup and define (α,β)-complex fuzzy normal subgroups of given group. We extend this ideology to define (α,β)-complex fuzzy cosets and analyze some of their algebraic characteristics. Furthermore, we prove that (α,β)-complex fuzzy normal subgroup is constant in the conjugate classes of group. We present an alternative conceptualization of (α,β)-complex fuzzy normal subgroup in the sense of the commutator of groups. We establish the (α,β)-complex fuzzy subgroup of the classical quotient group and show that the set of all (α,β)-complex fuzzy cosets of this specific complex fuzzy normal subgroup form a group. Additionally, we expound the index of α,β-complex fuzzy subgroups and investigate the (α,β)-complex fuzzification of Lagrange’s theorem analog to Lagrange’ theorem of classical group theory.

ACS Style

Hanan Alolaiyan; Halimah Alshehri; Muhammad Mateen; Dragan Pamucar; Muhammad Gulzar. A Novel Algebraic Structure of (α,β)-Complex Fuzzy Subgroups. Entropy 2021, 23, 992 .

AMA Style

Hanan Alolaiyan, Halimah Alshehri, Muhammad Mateen, Dragan Pamucar, Muhammad Gulzar. A Novel Algebraic Structure of (α,β)-Complex Fuzzy Subgroups. Entropy. 2021; 23 (8):992.

Chicago/Turabian Style

Hanan Alolaiyan; Halimah Alshehri; Muhammad Mateen; Dragan Pamucar; Muhammad Gulzar. 2021. "A Novel Algebraic Structure of (α,β)-Complex Fuzzy Subgroups." Entropy 23, no. 8: 992.

Journal article
Published: 17 July 2021 in Science of The Total Environment
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Zero-carbon is the current buzzword triggering the minds of every people in the world. The current pandemic situation has given the world an alarm to act towards the reduction/eradication of carbon footprint. Developing countries like India are striving hard to strike a balance between sustainability and global growth. To support the nation, certain measures and their prioritization would be helpful. Motivated by this notion, in this study, a new framework is proposed with double hierarchy fuzzy information, which not only gives experts a better style to articulate preferences linguistically but also makes a rational decision with methodical support. Mayor's transport strategy, 2018 is a popular document that provides valuable information towards sustainable transport practices, and the measures considered in this study are adapted from the same. In this framework, (i) a novel attitudinal evidence-based Bayesian approach is proposed for criteria weight estimation; (ii) experts’ weights are determined by using variance approach, and (iii) Evaluation based on distance from average solution (EDAS) approach is extended for prioritizing zero-carbon measures. These approaches are integrated into a framework and its practicality is exemplified by considering a case example of prioritizing measures for a smart city in India. Finally, comparison with extant methods reveals the merits and shortcomings of the proposal.

ACS Style

Raghunathan Krishankumar; Dragan Pamucar; Muhammet Deveci; Kattur Soundarapandian Ravichandran. Prioritization of zero-carbon measures for sustainable urban mobility using integrated double hierarchy decision framework and EDAS approach. Science of The Total Environment 2021, 797, 149068 .

AMA Style

Raghunathan Krishankumar, Dragan Pamucar, Muhammet Deveci, Kattur Soundarapandian Ravichandran. Prioritization of zero-carbon measures for sustainable urban mobility using integrated double hierarchy decision framework and EDAS approach. Science of The Total Environment. 2021; 797 ():149068.

Chicago/Turabian Style

Raghunathan Krishankumar; Dragan Pamucar; Muhammet Deveci; Kattur Soundarapandian Ravichandran. 2021. "Prioritization of zero-carbon measures for sustainable urban mobility using integrated double hierarchy decision framework and EDAS approach." Science of The Total Environment 797, no. : 149068.

Earlycite article
Published: 06 July 2021 in Kybernetes
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Purpose The coronavirus disease 2019 (COVID-19) pandemic has subjected a considerable strain on the healthcare (HC) systems around the world. The most affected countries are developing countries because of their weak HC infrastructure and meagre resources. Hence, building the resilience of the HC system of such countries becomes essential. Therefore, this study aims to build a resilience-based model on the HC sector of Pakistan to combat the COVID-19 and future pandemics in the country. Design/methodology/approach The study uses a novel hybrid approach to formulate a model based on resilient attributes (RAs) and resilient strategies (RSs). In the first step, the multi-criteria decision-making (MCDM) technique, i.e. full consistency method (FUCOM) is used to prioritize the RAs. Whereas, the fuzzy quality function deployment (QFD) is used to rank the RSs. Findings The findings suggest “leadership and governance capacity” to be the topmost RA. Whereas “building the operational capacity of the management”, “resilience education” and “Strengthening laboratories and diagnostic systems” are ranked to be the top three RSs, respectively. Practical implications The model developed in this study and the prioritization RAs and RSs will help build resilience in the HC sector of Pakistan. The policymakers and the government can take help from the prioritized RAs and RSs developed in this study to help make the current HC system more resilient towards the current COVID-19 and future pandemics in the country. Originality/value A new model has been developed to present a sound mathematical model for building resilience in the HC sector consisting of FUCOM and fuzzy QFD methods. The main contribution of the paper is the presentation of a comprehensive and more robust model that will help to make the current HC system of Pakistan more resilient.

ACS Style

Feroz Khan; Yousaf Ali; Dragan Pamucar. A new fuzzy FUCOM-QFD approach for evaluating strategies to enhance the resilience of the healthcare sector to combat the COVID-19 pandemic. Kybernetes 2021, ahead-of-p, 1 .

AMA Style

Feroz Khan, Yousaf Ali, Dragan Pamucar. A new fuzzy FUCOM-QFD approach for evaluating strategies to enhance the resilience of the healthcare sector to combat the COVID-19 pandemic. Kybernetes. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Feroz Khan; Yousaf Ali; Dragan Pamucar. 2021. "A new fuzzy FUCOM-QFD approach for evaluating strategies to enhance the resilience of the healthcare sector to combat the COVID-19 pandemic." Kybernetes ahead-of-p, no. ahead-of-p: 1.

Journal article
Published: 27 June 2021 in Symmetry
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Aggregation operators are fundamental concept for information fusion in real-life problems. Many researchers developed aggregation operators for multi-criteria decision-making (MCDM) under uncertainty. Unfortunately, the existing operators can be utilized under strict limitations and constraints. In this manuscript, we focused on new prioritized aggregation operators which remove the strict limitations of the existing operators. The addition of reference parameters associated with membership and non-membership grades in the linear Diophantine Fuzzy sets provide a robust modeling for MCDM problems. The primary objective of this manuscript is to introduce new aggregation operators for modeling uncertainty by using linear Diophantine Fuzzy information. For this objective we develop aggregation operators (AO) namely, "linear Diophantine Fuzzy prioritized weighted average" (LDFPWA) operator and "linear Diophantine Fuzzy prioritized weighted geometric" (LDFPWG) operator. Certain essential properties of new prioritized AOs are also proposed. A secondary objective is to discuss a practical application of third party reverse logistic provider (3PRLP) optimization problem. The efficiency, superiority, and rationality of the proposed approach is analyzed by a numerical example to discuss 3PRLP. The symmetry of optimal decision and ranking of feasible alternatives is followed by a comparative analysis.

ACS Style

Muhammad Riaz; Hafiz Farid; Muhammad Aslam; Dragan Pamucar; Darko Bozanić. Novel Approach for Third-Party Reverse Logistic Provider Selection Process under Linear Diophantine Fuzzy Prioritized Aggregation Operators. Symmetry 2021, 13, 1152 .

AMA Style

Muhammad Riaz, Hafiz Farid, Muhammad Aslam, Dragan Pamucar, Darko Bozanić. Novel Approach for Third-Party Reverse Logistic Provider Selection Process under Linear Diophantine Fuzzy Prioritized Aggregation Operators. Symmetry. 2021; 13 (7):1152.

Chicago/Turabian Style

Muhammad Riaz; Hafiz Farid; Muhammad Aslam; Dragan Pamucar; Darko Bozanić. 2021. "Novel Approach for Third-Party Reverse Logistic Provider Selection Process under Linear Diophantine Fuzzy Prioritized Aggregation Operators." Symmetry 13, no. 7: 1152.

Journal article
Published: 19 June 2021 in Socio-Economic Planning Sciences
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Railway transportation is the backbone of the economy significantly influences mobility and life quality in many developed and developing countries. Railway infrastructure investment problems are inherently complex and involve multiple and often conflicting criteria in an uncertain socio-economic environment. This study presents an integrated rough group FUll COnsistency Method (FUCOM) and Multi-Atributive Ideal-Real Comparative Analysis (MAIRCA) method for railway infrastructure project evaluation and prioritization. The FUCOM method evaluates the selection criteria through a simple algorithm, and the MAIRCA method prioritizes alternative projects through structured and systematic mathematical computations. Sensitivity analysis measures the impact of the criteria weights on the final results. Spearman's rank correlation coefficient assesses the effect of criteria weight variations on alternative rankings' stability. This study's main contribution is developing and implementing a comprehensive and robust framework for ex-ante evaluation and prioritization of railway infrastructure projects. A case study in Serbian Railways demonstrates the proposed integrated framework's applicability and efficacy in evaluating the railway infrastructure projects for Serbian Railways.

ACS Style

Dragan Pamucar; Dragana Macura; Madjid Tavana; Darko Božanić; Nikola Knežević. An Integrated Rough Group Multicriteria Decision-Making Model for the Ex-Ante Prioritization of Infrastructure Projects: The Serbian Railways Case. Socio-Economic Planning Sciences 2021, 101098 .

AMA Style

Dragan Pamucar, Dragana Macura, Madjid Tavana, Darko Božanić, Nikola Knežević. An Integrated Rough Group Multicriteria Decision-Making Model for the Ex-Ante Prioritization of Infrastructure Projects: The Serbian Railways Case. Socio-Economic Planning Sciences. 2021; ():101098.

Chicago/Turabian Style

Dragan Pamucar; Dragana Macura; Madjid Tavana; Darko Božanić; Nikola Knežević. 2021. "An Integrated Rough Group Multicriteria Decision-Making Model for the Ex-Ante Prioritization of Infrastructure Projects: The Serbian Railways Case." Socio-Economic Planning Sciences , no. : 101098.

Editorial
Published: 18 June 2021 in Mathematics
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This issue contains the successful invited submissions

ACS Style

Dragan Pamučar; Dragan Marinković; Samarjit Kar. Dynamics under Uncertainty: Modeling Simulation and Complexity. Mathematics 2021, 9, 1416 .

AMA Style

Dragan Pamučar, Dragan Marinković, Samarjit Kar. Dynamics under Uncertainty: Modeling Simulation and Complexity. Mathematics. 2021; 9 (12):1416.

Chicago/Turabian Style

Dragan Pamučar; Dragan Marinković; Samarjit Kar. 2021. "Dynamics under Uncertainty: Modeling Simulation and Complexity." Mathematics 9, no. 12: 1416.

Research article
Published: 03 June 2021 in International Journal of Intelligent Systems
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In this manuscript, the technique of the generalized MULTIMOORA method is investigated by using the concept of a T-spherical fuzzy set (T-SFS), which is the modified idea of a picture fuzzy set to handle awkward and vague information in daily life problems. T-SFS covers the degree of truth, abstinence, and falsity with a rule that the sum of the qth-powers of all degrees is restricted to the unit interval. Moreover, for examining the interrelationships among any number of T-SFSs, we construct the idea of T-spherical fuzzy Dombi prioritized weighted arithmetic (T-SFDPWA) aggregation operators, T-spherical fuzzy Dombi prioritized arithmetic, T-spherical fuzzy Dombi prioritized geometric, and T-spherical fuzzy Dombi prioritized weighted geometric (T-SFDPWG) aggregation operators are given. Then, the basic properties of T-SFDPWA and T-SFDPWG aggregation operators are investigated and discussed in some of their cases. The investigated operators based on T-SFS are utilized in the environment of multiattribute decision-making problems to find the consistency and proficiency of the developed operators. In last, we illustrated some numerical examples based on explored operators is to examine the reliability and validity of the investigated operators with the help of comparative analysis and graphical representations with some existing ideas to show the presented approaches are extensive powerful.

ACS Style

Tahir Mahmood; Muhammad S. Warraich; Zeeshan Ali; Dragan Pamucar. Generalized MULTIMOORA method and Dombi prioritized weighted aggregation operators based on T‐spherical fuzzy sets and their applications. International Journal of Intelligent Systems 2021, 36, 4659 -4692.

AMA Style

Tahir Mahmood, Muhammad S. Warraich, Zeeshan Ali, Dragan Pamucar. Generalized MULTIMOORA method and Dombi prioritized weighted aggregation operators based on T‐spherical fuzzy sets and their applications. International Journal of Intelligent Systems. 2021; 36 (9):4659-4692.

Chicago/Turabian Style

Tahir Mahmood; Muhammad S. Warraich; Zeeshan Ali; Dragan Pamucar. 2021. "Generalized MULTIMOORA method and Dombi prioritized weighted aggregation operators based on T‐spherical fuzzy sets and their applications." International Journal of Intelligent Systems 36, no. 9: 4659-4692.

Journal article
Published: 03 June 2021 in Symmetry
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In this study, we define the concept of an ω-fuzzy set ω-fuzzy subring and show that the intersection of two ω-fuzzy subrings is also an ω-fuzzy subring of a given ring. Moreover, we give the notion of an ω-fuzzy ideal and investigate different fundamental results of this phenomenon. We extend this ideology to propose the notion of an ω-fuzzy coset and develop a quotient ring with respect to this particular fuzzy ideal analog into a classical quotient ring. Additionally, we found an ω-fuzzy quotient subring. We also define the idea of a support set of an ω-fuzzy set and prove various important characteristics of this phenomenon. Further, we describe ω-fuzzy homomorphism and ω-fuzzy isomorphism. We establish an ω-fuzzy homomorphism between an ω-fuzzy subring of the quotient ring and an ω-fuzzy subring of this ring. We constitute a significant relationship between two ω-fuzzy subrings of quotient rings under the given ω-fuzzy surjective homomorphism and prove some more fundamental theorems of ω-fuzzy homomorphism for these specific fuzzy subrings. Finally, we present three fundamental theorems of ω-fuzzy isomorphism.

ACS Style

Alaa Altassan; Muhammad Mateen; Dragan Pamucar. On Fundamental Theorems of Fuzzy Isomorphism of Fuzzy Subrings over a Certain Algebraic Product. Symmetry 2021, 13, 998 .

AMA Style

Alaa Altassan, Muhammad Mateen, Dragan Pamucar. On Fundamental Theorems of Fuzzy Isomorphism of Fuzzy Subrings over a Certain Algebraic Product. Symmetry. 2021; 13 (6):998.

Chicago/Turabian Style

Alaa Altassan; Muhammad Mateen; Dragan Pamucar. 2021. "On Fundamental Theorems of Fuzzy Isomorphism of Fuzzy Subrings over a Certain Algebraic Product." Symmetry 13, no. 6: 998.

Journal article
Published: 01 June 2021 in Applied Soft Computing
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Over the past 20 years, the development of offshore wind farms has become increasingly important across the world. One of the most crucial reasons for that is offshore wind turbines have higher average speeds than those onshore, producing more electricity. In this study, a new hybrid approach integrating Interval Rough Numbers (IRNs) into Best Worst Method (BWM) and Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) is introduced for multi-criteria intelligent decision support to choose the best offshore wind farm site in a Turkey’s coastal area. Four alternatives in the Aegean Sea are considered based on a range of criteria. The results show the viability of the proposed approach which yields Bozcaada as the appropriate site, when compared to and validated using the other multi-criteria decision-making techniques from the literature, including IRN based MABAC, WASPAS, and MAIRCA.

ACS Style

Muhammet Deveci; Ender Özcan; Robert John; Dragan Pamucar; Himmet Karaman. Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS. Applied Soft Computing 2021, 109, 107532 .

AMA Style

Muhammet Deveci, Ender Özcan, Robert John, Dragan Pamucar, Himmet Karaman. Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS. Applied Soft Computing. 2021; 109 ():107532.

Chicago/Turabian Style

Muhammet Deveci; Ender Özcan; Robert John; Dragan Pamucar; Himmet Karaman. 2021. "Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS." Applied Soft Computing 109, no. : 107532.

Research article
Published: 31 May 2021 in International Journal of Intelligent Systems
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This study proposes a novel structured framework for analyzing sustainable operational performance-related issues of ash handling unit (AHU) under vague/uncertain information and its impact on ecofriendly production. The structured framework is developed using an integrated fuzzy lambda–tau and fuzzy multicriteria decision-making methods. Reliability parameters are formulated for assessing the failure behavior of AHU using the fuzzy lambda–tau approach. Repair time parameter for the AHU system shows an increasing trend with a 0.6840% increase as the spread increases from ±15% to ±25% and 0.5981% when spread increases from ±25% to ±60%. Furthermore, the availability of the system decreases by 0.0335% with increase in spread from ±15% to ±25% and further decreases to 0.0315% with spread increases from ±25% to ±60%. Under risk analysis, possible failure causes with their fuzzy rating are listed under the failure mode and effect analysis (FMEA) approach. Evaluation based on distance from average solution (EDAS) and combinative distance-based assessment (CODAS) methods are further applied within the FMEA approach for identifying the most critical failure causes. Improper design (BT2), excessive gas volume (FH3), chocking/blockage (WA1), and scanty lubrication/greasing (SP1) associated with bottom ash handling, the fly ash handling system, wetting unit and ash disposal pipeline, and slurry pump with EDAS outputs (0.1464, 0.1090, 0.0918, 0.000) and CODAS outputs (3.3962, 3.5208, 2.6562, 2.0877) are found responsible for sudden failure of the considered unit. Sensitivity analysis has been done for evaluating the robustness of the proposed framework.

ACS Style

Dilbagh Panchal; Prasenjit Chatterjee; Dragan Pamucar; Morteza Yazdani. A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry. International Journal of Intelligent Systems 2021, 1 .

AMA Style

Dilbagh Panchal, Prasenjit Chatterjee, Dragan Pamucar, Morteza Yazdani. A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry. International Journal of Intelligent Systems. 2021; ():1.

Chicago/Turabian Style

Dilbagh Panchal; Prasenjit Chatterjee; Dragan Pamucar; Morteza Yazdani. 2021. "A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry." International Journal of Intelligent Systems , no. : 1.

Journal article
Published: 29 May 2021 in Entropy
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In this paper, we investigate the multi-criteria decision-making complications under intuitionistic fuzzy hypersoft set (IFHSS) information. The IFHSS is a proper extension of the intuitionistic fuzzy soft set (IFSS) which discusses the parametrization of multi-sub attributes of considered parameters, and accommodates more hesitation comparative to IFSS utilizing the multi sub-attributes of the considered parameters. The main objective of this research is to introduce operational laws for intuitionistic fuzzy hypersoft numbers (IFHSNs). Additionally, based on developed operational laws two aggregation operators (AOs), i.e., intuitionistic fuzzy hypersoft weighted average (IFHSWA) and intuitionistic fuzzy hypersoft weighted geometric (IFHSWG), operators have been presented with their fundamental properties. Furthermore, a decision-making approach has been established utilizing our developed aggregation operators (AOs). Through the established approach, a technique for solving decision-making (DM) complications is proposed to select sustainable suppliers in sustainable supply chain management (SSCM). Moreover, a numerical description is presented to ensure the validity and usability of the proposed technique in the DM process. The practicality, effectivity, and flexibility of the current approach are demonstrated through comparative analysis with the assistance of some prevailing studies.

ACS Style

Rana Zulqarnain; Imran Siddique; Rifaqat Ali; Dragan Pamucar; Dragan Marinkovic; Darko Bozanic. Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem. Entropy 2021, 23, 688 .

AMA Style

Rana Zulqarnain, Imran Siddique, Rifaqat Ali, Dragan Pamucar, Dragan Marinkovic, Darko Bozanic. Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem. Entropy. 2021; 23 (6):688.

Chicago/Turabian Style

Rana Zulqarnain; Imran Siddique; Rifaqat Ali; Dragan Pamucar; Dragan Marinkovic; Darko Bozanic. 2021. "Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem." Entropy 23, no. 6: 688.

Journal article
Published: 15 May 2021 in Sustainability
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It is generally accepted that China’s Employees Basic Pension System (CEBPS) cannot cover its expenses. The government needs to fill the gap in income and expenditure with fiscal revenue to ensure sustainability of the system, which may cause it to take fiscal risk caused by the volatility of the fund gap. In this article, through the establishment of a prediction model for the income and expenditure of CEBPS with dynamic mortality, we aimed to measure the fiscal risk caused by longevity risk and provide policy basis for the government. We found that longevity risk leads to serious fiscal risk. The income and expenditure gap of CEBPS fluctuates greatly, and the 2.5% and 97.5% quantiles of fund balance in 2067 are 1.52 and 0.44 times the expected value, respectively. The knock-on effect of fiscal risk, measured by value-at-risk (VaR), is 1.15 times gross domestic product and 4.75 times state fiscal expenditure in 2020. In this article, we not only calculate the expected value like the other literatures but also discuss the volatility of the CEBPS fund gap.

ACS Style

Min Le; Xinrong Xiao; Dragan Pamučar; Qianling Liang. A Study on Fiscal Risk of China’s Employees Basic Pension System under Longevity Risk. Sustainability 2021, 13, 5526 .

AMA Style

Min Le, Xinrong Xiao, Dragan Pamučar, Qianling Liang. A Study on Fiscal Risk of China’s Employees Basic Pension System under Longevity Risk. Sustainability. 2021; 13 (10):5526.

Chicago/Turabian Style

Min Le; Xinrong Xiao; Dragan Pamučar; Qianling Liang. 2021. "A Study on Fiscal Risk of China’s Employees Basic Pension System under Longevity Risk." Sustainability 13, no. 10: 5526.

Journal article
Published: 09 May 2021 in Symmetry
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This paper deals with uncertainty, asymmetric information, and risk modelling in a complex power system. The uncertainty is managed by using probability and decision theory methods. Multiple-criteria decision making (MCDM) is a very effective and well-known tool to investigate fuzzy information more effectively. However, the selection of houses cannot be done by utilizing symmetry information, because enterprises do not have complete information, so asymmetric information should be used when selecting enterprises. In this paper, the notion of soft set (SftS) and interval-valued T-spherical fuzzy set (IVT-SFS) are combined to produce a new and more effective notion called interval-valued T-spherical fuzzy soft set (IVTSFSftS). It is a more general concept and provides more space and options to decision makers (DMs) for making their decision in the field of fuzzy set theory. Moreover, some average aggregation operators like interval-valued T-spherical fuzzy soft weighted average (IVTSFSftWA) operator, interval-valued T-spherical fuzzy soft ordered weighted average (IVTSFSftOWA) operator, and interval-valued T-spherical fuzzy soft hybrid average (IVTSFSftHA) operators are explored. Furthermore, the properties of these operators are discussed in detail. An algorithm is developed and an application example is proposed to show the validity of the present work. This manuscript shows how to make a decision when there is asymmetric information about an enterprise. Further, in comparative analysis, the established work is compared with another existing method to show the advantages of the present work.

ACS Style

Tahir Mahmood; Jabbar Ahmmad; Zeeshan Ali; Dragan Pamucar; Dragan Marinkovic. Interval Valued T-Spherical Fuzzy Soft Average Aggregation Operators and Their Applications in Multiple-Criteria Decision Making. Symmetry 2021, 13, 829 .

AMA Style

Tahir Mahmood, Jabbar Ahmmad, Zeeshan Ali, Dragan Pamucar, Dragan Marinkovic. Interval Valued T-Spherical Fuzzy Soft Average Aggregation Operators and Their Applications in Multiple-Criteria Decision Making. Symmetry. 2021; 13 (5):829.

Chicago/Turabian Style

Tahir Mahmood; Jabbar Ahmmad; Zeeshan Ali; Dragan Pamucar; Dragan Marinkovic. 2021. "Interval Valued T-Spherical Fuzzy Soft Average Aggregation Operators and Their Applications in Multiple-Criteria Decision Making." Symmetry 13, no. 5: 829.

Journal article
Published: 29 April 2021 in Sustainable Cities and Society
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Social sustainability is considered as the least defined and addressed pillar among the three pillars of sustainability. Social sustainability goals and targets within sustainable development goals are currently considered vital factors for human beings. Therefore, countries continuously evaluate their performance with respect to achieving social sustainability goals to promote required commitments and partnerships to address existing social problems and to maximize social satisfaction of their citizens. In this regard, this paper evaluates the social sustainability performance in seven developed countries that are included in the Group of Seven (G7) as one of the most important intergovernmental economic organizations. Assessing the performance of the countries is conducted based on real data from Organisation for Economic Co-operation and Development (OECD) dataset, where fourteen indicators are selected from different aspects that have noticeable roles on social sustainability. Evaluation of countries is done through a novel integrated data-driven weighting system based on CRITIC and Shannon’s Entropy methods, and CoCoSo method. Using the integrated data-driven weighting system, the weight of indicators is determined by using an aggregation operator to combine weights obtained from CRITIC and Shannon’s Entropy. The proposed integrated data-driven weighting system is designed to remove the biasedness and subjectivity of experts’ opinions that can happen using other weighting methods. Then, countries are comparatively evaluated and ranked using the CoCoSo. Based on the results of the proposed model, France shows the best performance with respect to social sustainability indicators.

ACS Style

Ali Ebadi Torkayesh; Fatih Ecer; Dragan Pamucar; Çağlar Karamaşa. Comparative assessment of social sustainability performance: Integrated data-driven weighting system and CoCoSo model. Sustainable Cities and Society 2021, 71, 102975 .

AMA Style

Ali Ebadi Torkayesh, Fatih Ecer, Dragan Pamucar, Çağlar Karamaşa. Comparative assessment of social sustainability performance: Integrated data-driven weighting system and CoCoSo model. Sustainable Cities and Society. 2021; 71 ():102975.

Chicago/Turabian Style

Ali Ebadi Torkayesh; Fatih Ecer; Dragan Pamucar; Çağlar Karamaşa. 2021. "Comparative assessment of social sustainability performance: Integrated data-driven weighting system and CoCoSo model." Sustainable Cities and Society 71, no. : 102975.

Journal article
Published: 29 April 2021 in Symmetry
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The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.

ACS Style

Adis Puška; Miroslav Nedeljković; Sarfaraz Hashemkhani Zolfani; Dragan Pamučar. Application of Interval Fuzzy Logic in Selecting a Sustainable Supplier on the Example of Agricultural Production. Symmetry 2021, 13, 774 .

AMA Style

Adis Puška, Miroslav Nedeljković, Sarfaraz Hashemkhani Zolfani, Dragan Pamučar. Application of Interval Fuzzy Logic in Selecting a Sustainable Supplier on the Example of Agricultural Production. Symmetry. 2021; 13 (5):774.

Chicago/Turabian Style

Adis Puška; Miroslav Nedeljković; Sarfaraz Hashemkhani Zolfani; Dragan Pamučar. 2021. "Application of Interval Fuzzy Logic in Selecting a Sustainable Supplier on the Example of Agricultural Production." Symmetry 13, no. 5: 774.

Journal article
Published: 27 April 2021 in Mathematics
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Multi-criteria decision-making methods (MCDM) represent a very powerful tool for making decisions in different areas. Making a rational and reliable decision, while respecting different factors, is a challenging and difficult task; MCDM models have a great impact on achieving this goal. In this paper, a new MCDM technique is presented—ranking alternatives by defining relations between the ideal and anti-ideal alternative (RADERIA), which was tested for the evaluation of human resources (HR) in a transportation company. The RADERIA model has three key advantages that recommend it for future use: (1) the RADERIA model has a new approach for data normalization that enables defining the normalization interval according to the judgments of a decision-maker; (2) an adaptive model for data normalization of the RADERIA model allows tough conversion into various forms of decreasing functions (linear, quadratic equation, etc.); and (3) the resistance of the RADERIA model to the rank reversal problem. Furthermore, in many simulations, the RADERIA method has shown stability when processing a larger number of datasets. This was also confirmed by a case study with 36 alternatives, as considered in this paper. The results and verification of the proposed new method were acquired through a comprehensive verification of the complexity of the results. The complexity of the results was executed through (1) comparison with four other multi-criteria methods, (2) checking the resistance of the RADERIA model to the rank reversal problem, and (3) the analysis of the impact of changes in the measurement scale on the ranking results.

ACS Style

Vladimir Jakovljevic; Mališa Zizovic; Dragan Pamucar; Željko Stević; Miloljub Albijanic. Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA). Mathematics 2021, 9, 976 .

AMA Style

Vladimir Jakovljevic, Mališa Zizovic, Dragan Pamucar, Željko Stević, Miloljub Albijanic. Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA). Mathematics. 2021; 9 (9):976.

Chicago/Turabian Style

Vladimir Jakovljevic; Mališa Zizovic; Dragan Pamucar; Željko Stević; Miloljub Albijanic. 2021. "Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA)." Mathematics 9, no. 9: 976.