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Shahzaib Ashraf
Researcher at Abdul Wali Khan University Mardan
Publications - 91
Citations - 2372
Shahzaib Ashraf is an academic researcher from Abdul Wali Khan University Mardan. The author has contributed to research in topics: Fuzzy logic & Computer science. The author has an hindex of 22, co-authored 52 publications receiving 1238 citations. Previous affiliations of Shahzaib Ashraf include Bacha Khan University.
Papers
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Journal ArticleDOI
Pythagorean Fuzzy Dombi Aggregation Operators and Their Application in Decision Support System
Arshad Ahmad Khan,Shahzaib Ashraf,Saleem Abdullah,Muhammad Qiyas,Jianchao Luo,Sufyan Ullah Khan +5 more
TL;DR: 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 is developed and has a stronger capability than existing averaging, geometric, Einstein, logarithmic averaging and logARithmic geometric aggregation operators for Pythagorean fuzzy information.
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The cosine similarity measures of spherical fuzzy sets and their applications in decision making
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Emergency decision support modeling for COVID-19 based on spherical fuzzy information
Shahzaib Ashraf,Saleem Abdullah +1 more
TL;DR: Many novel approaches to addressing the emergency situation of COVID‐19 under spherical fuzzy environment are introduced and three algorithms to address the uncertainty and ambiguity information in emergency DMPs are designed.
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Covering-Based Spherical Fuzzy Rough Set Model Hybrid with TOPSIS for Multi-Attribute Decision-Making
TL;DR: This article developed a comprehensive model to tackle decision-making problems, where strong points of view are in the favour; neutral; and against some projects, entities, or plans to manage the vague and uncertainty.
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Spherical Fuzzy Logarithmic Aggregation Operators Based on Entropy and Their Application in Decision Support Systems
TL;DR: This study proposed a novel method to handle the spherical fuzzy multi-criteria group decision-making (MCGDM) problems, and presented some novel logarithmic operations of spherical fuzzy sets (SFSs), and proposed the spheres fuzzy entropy to find the unknown weights information of the criteria.