Dr. Shahzaib Ashraf
Abdul Wali Khan University Mardan
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Academic Career Length
9Years (2018-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications26 March 2019 in Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal Article
Shahzaib AshrafSASaleem Abdullah
Saleem Abdullah
FGFazal Ghani
Fazal Ghani
Tahir MahmoodThe key objective of the present proposed work in this paper is introduced a new version of picture fuzzy set so called spherical fuzzy sets (SFS). spherical fuzzy set is a new extension of picture fuzzy sets and Pythagorean fuzzy sets. In spherical
26 October 2018 in International Journal of Intelligent Systems
Journal Article
Shahzaib AshrafSASaleem Abdullah
Saleem Abdullah
Spherical fuzzy sets (SFSs) are a new extension of Cuong's picture fuzzy sets (PFSs). In SFSs, membership degrees satisfy the condition instead of as is in PFSs. In the present work, we extend different strict archimedean triangular norm and conorm to aggregate spherical fuzzy information. Firstly, we define the SFS and discuss some operational rules. Generalized spherical aggregation operators for spherical fuzzy numbers utilizing these strict Archimedean t‐norm and t‐conorm are proposed. Finally, based on these operators, a decision‐making method has been established for ranking the alternatives by utilizing a spherical fuzzy environment. The suggested technique has been demonstrated with a descriptive example for viewing their effectiveness as well as reliability. A test checking the reliability and validity has also been conducted for viewing the supremacy of the suggested technique.
12 July 2018 in Bulletin of the Brazilian Mathematical Society, New Series
Journal Article
Shahzaib AshrafTahir MahmoodSASaleem Abdullah
Saleem AbdullahQKQaisar Khan
Qaisar KhanThe main objective of proposed work is to introduce a series of picture fuzzy weighted geometric aggregation operators by using t-norm and t-conorm. In this paper, we discussed generalized form of weighted geometric aggregation operator for picture fuzzy information. Further, the proposed geometric aggregation operators of picture fuzzy number are applied to multi-attribute group decision making problems. Also, we propose the TOPSIS method to aggregate the picture fuzzy information. To implement the proposed models, we provide some numerical applications of group decision making problems. Also compared with previous model, we conclude that the proposed technique is more effective and reliable.
8 June 2019 in Journal of Ambient Intelligence and Humanized Computing
Journal Article
Journal Article
JLJian Chao Luo
Jian Chao LuoShahzaib AshrafSASaleem Abdullah
Saleem AbdullahMQMuhammad Qiyas
Muhammad QiyasJLJianchao Luo
Jianchao LuoSKSufyan Ullah Khan
Sufyan Ullah KhanKeeping in mind the importance and well growing Pythagorean fuzzy sets, in this paper, some novel operators for Pythagorean fuzzy sets and their properties are demonstrated. In this paper, we develop a comprehensive model to tackle decision-making problems where strong points of view are in the favour and against the some projects, entities or plans. Therefore, a new approach, based on Pythagorean fuzzy set models by means of Pythagorean fuzzy Dombi aggregation operators is proposed. An approach to deal with decision-making problems using Pythagorean Dombi averaging and Dombi geometric aggregation operators is established. This model has a stronger capability than existing averaging, geometric, Einstein, logarithmic averaging and logarithmic geometric aggregation operators for Pythagorean fuzzy information. Finally, the proposed method is demonstrated through an example of how the proposed method helps us and is effective in decision-making problems.
11 June 2019 in Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal Article
Shahzaib AshrafSASaleem Abdullah
Saleem AbdullahMAMuhammad Aslam
Muhammad Aslam
MQMuhammad Qiyas
Muhammad Qiyas
MKMarwan A. Kutbi
Marwan A. Kutbi
In this paper, we introduce spherical fuzzy sets (SFSs) which is an advanced tool of the fuzzy sets, intuitionistic fuzzy sets and picture fuzzy sets. We investigate the basic properties of SFSs and compare the idea SFSs with picture fuzzy sets. The spaces of spherical membership grades and picture membership grades are examined by graphically. Some useful operation such as spherical fuzzy t’-norms and spherical fuzzy t’-conorms are introduced. Also introduced spherical fuzzy negator and some classifications of spherical fuzzy t’-norms and spherical fuzzy t ′ -conorms which are useful for development the aggregation operator to aggregate the spherical fuzzy information. Finally, a food circulation center evaluation problem is given as a practical application to demonstrate the usage and applicability of the proposed ranking approach.
About Me
Dr. Ashraf’s research interests include Fuzzy set theory, Spherical fuzzy sets, Fuzzy decision support systems, Probabilistic fuzzy decision support systems, Application of soft set in decision making, Soft computing and Computational intelligence.
He has published 70 Research articles in international peer-reviewed journals, including ISI Indexed / IF Journal publications.
1) He was recognized on the World’s Top 2% Scientists’ list (STANFORD UNIVERSITY) 2020-2021.
2) He was recognized as having a TOP CITED PAPER 2020-2021 in International Journal of Intelligent Systems (Paper Title: Emergency decision support modeling for COVID-19 based on spherical fuzzy information)
3) He was awarded a travel grant of 2,28,362 Rs, in 2018 by the Higher Education Commission (HEC) of Pakistan to present a research paper at the 5th International Conference on Recent Advances in Pure and Applied Mathematics. held at Karadeniz Technical University, Trabzon, Turkey.