This page has only limited features, please log in for full access.
The world has been challenged since late 2019 by COVID-19. Higher education institutions have faced various challenges in adapting online education to control the pandemic spread of COVID-19. The present study aims to conduct a survey study through the interview and scrutinizing the literature to find the key challenges. Subsequently, an integrated MCDM framework, including Stepwise Weight Assessment Ratio Analysis (SWARA) and Multiple Objective Optimization based on Ratio Analysis plus Full Multiplicative Form (MULTIMOORA), is developed. The SWARA procedure is applied to the analysis and assesses the challenges to adapt the online education during the COVID-19 outbreak, and the MULTIMOORA approach is utilized to rank the higher education institutions on hesitant fuzzy sets. Further, an illustrative case study is considered to express the proposed idea's feasibility and efficacy in real-world decision-making. Finally, the obtained result is compared with other existing approaches, confirming the proposed framework's strength and steadiness. The identified challenges were systemic, pedagogical, and psychological challenges, while the analysis results found that the pedagogical challenges, including the lack of experience and student engagement, were the main essential challenges to adapting online education in higher education institutions during the COVID-19 outbreak.
Mahyar Kamali Saraji; Abbas Mardani; Mario Köppen; Arunodaya Raj Mishra; Pratibha Rani. An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions. Artificial Intelligence Review 2021, 1 -26.
AMA StyleMahyar Kamali Saraji, Abbas Mardani, Mario Köppen, Arunodaya Raj Mishra, Pratibha Rani. An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions. Artificial Intelligence Review. 2021; ():1-26.
Chicago/Turabian StyleMahyar Kamali Saraji; Abbas Mardani; Mario Köppen; Arunodaya Raj Mishra; Pratibha Rani. 2021. "An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions." Artificial Intelligence Review , no. : 1-26.
In recent years, several concepts such as fuzzy sets, Z-numbers, and D-numbers have been proposed to handle real-world decision-making problems. Despite the desirable properties of these types of numbers, they do not consider the concept of Necessity. On the other hand, recently, the Best-Worst Method (BWM) has been introduced as a technique based on a systematic pairwise comparison of decision criteria. The advantage of this method is that it reduces the level of inconsistency or ambiguity in the results. Since ambiguity is associated with information, it is important to consider it in the decision-making process to boost the accuracy of findings. The main aim of this study is to reduce the ambiguity in attributing weights to the criteria by incorporating the BWM method and the Importance-Necessity concept (G-number), and to present a novel method, namely The GBWM method. By decreasing levels of ambiguity in the final results through the addition of the Necessity and Importance concepts, this method can be applied to an extensive range of practical and complex decision-making problems. To express the feasibility and usefulness of the proposed method in the real-world, two case studies have been investigated. Finally, the sensitivity analysis and a conceptual comparison with other methods have been conducted to confirm the strength and stability of this method.
Saeid Jafarzadeh Ghoushchi; Shadi Dorosti; Mohammad Khazaeili; Abbas Mardani. Extended approach by using best–worst method on the basis of importance–necessity concept and its application. Applied Intelligence 2021, 1 -15.
AMA StyleSaeid Jafarzadeh Ghoushchi, Shadi Dorosti, Mohammad Khazaeili, Abbas Mardani. Extended approach by using best–worst method on the basis of importance–necessity concept and its application. Applied Intelligence. 2021; ():1-15.
Chicago/Turabian StyleSaeid Jafarzadeh Ghoushchi; Shadi Dorosti; Mohammad Khazaeili; Abbas Mardani. 2021. "Extended approach by using best–worst method on the basis of importance–necessity concept and its application." Applied Intelligence , no. : 1-15.
Because of the COVID-19 outbreak, the supply of both essential and non-essential goods and services has been unprecedentedly disrupted. In the absence of any playbook, the need for innovative technologies to aid recovery from the Supply Chain (SC) disruptions quickly and effectively becomes persistent. The study aims to develop an innovative decision-making technology to handle the supplier selection problems arising from the frequent impreciseness and incompleteness in the nowadays' SC reports within the framework of the gresilient supply chain management. Through the integration of green and resilience aspects of the SCs, the supply chain 'gresilience' has been conceptualized. In light of this construct and based on the data collected from a manufacturing firm, the study deploys a two-fold decomposition of the core algorithm of the Ordinal Priority Approach (OPA), one for attributes and other for alternatives. It extends the OPA to the Fuzzy OPA (OPA-F) for solving the supplier selection problems. The study illustrates how green and resilience aspects of the SC can be integrated to better understand the gresilient suppliers in the wake of the SC disruptions. A novel construct of SC Gresilience is also furnished along with a novel definition of SC Gresilience. It also provides an innovative SC decision-making technology to help procurement managers to evaluate their suppliers. The resultant framework can help them better prepare for the COVID-19 like disruptions in the future.
Amin Mahmoudi; Saad Ahmed Javed; Abbas Mardani. Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era. Operations Management Research 2021, 1 -25.
AMA StyleAmin Mahmoudi, Saad Ahmed Javed, Abbas Mardani. Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era. Operations Management Research. 2021; ():1-25.
Chicago/Turabian StyleAmin Mahmoudi; Saad Ahmed Javed; Abbas Mardani. 2021. "Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era." Operations Management Research , no. : 1-25.