Group decision-making for the selection of an antivirus mask under fermatean fuzzy soft information

With the rapid increase of COVID-19, mostly people are facing antivirus mask shortages It is necessary to select a good antivirus mask and make it useful for everyone For maximize the efficacy of the antivirus masks, we propose a decision support algorithm based on the concept of Fermatean fuzzy soft set (FFSf S) The basic purpose of this article is to introduce the notion of FFSf S to deal with problems involving uncertainty and complexity corresponding to various parameters Here, the valuable properties of FFSf S are merged with the Yager operator to propose four new operators, namely, Fermatean fuzzy soft Yager weighted average (FFSf YWA), Fermatean fuzzy soft Yager ordered weighted average (FFSf YOWA), Fermatean fuzzy soft Yager weighted geometric (FFSf YWG) and Fermatean fuzzy soft Yager ordered weighted geometric (FFSf YOWG) operators The fundamental properties of proposed operators are discussed For the importance of proposed operators, a multi-attribute group decision-making (MAGDM) strategy is presented along with an application for the selection of an antivirus mask over the COVID-19 pandemic The comparison with existing operators shows that existing operators cannot deal with data involving parametric study but developed operators have the ability to deal decision-making problems using parameterized information © 2021 - IOS Press All rights reserved

[1]  Zeshui Xu,et al.  Projection Models for Intuitionistic Fuzzy Multiple Attribute Decision Making , 2010, Int. J. Inf. Technol. Decis. Mak..

[2]  Gui-Wu Wei,et al.  Pythagorean fuzzy power aggregation operators in multiple attribute decision making , 2018, Int. J. Intell. Syst..

[3]  Gulfam Shahzadi,et al.  Decision-Making Approach under Pythagorean Fuzzy Yager Weighted Operators , 2020, Mathematics.

[4]  Zeshui Xu,et al.  The linear assignment method for multicriteria group decision making based on interval‐valued Pythagorean fuzzy Bonferroni mean , 2018, Int. J. Intell. Syst..

[5]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[6]  Madhumangal Pal,et al.  A Robust Single-Valued Neutrosophic Soft Aggregation Operators in Multi-Criteria Decision Making , 2019, Symmetry.

[7]  Ronald R. Yager,et al.  Generalized Orthopair Fuzzy Sets , 2017, IEEE Transactions on Fuzzy Systems.

[8]  Peng Xindon,et al.  Pythagorean Fuzzy Soft Set and Its Application , 2015 .

[9]  Naif Alajlan,et al.  Aspects of generalized orthopair fuzzy sets , 2018, Int. J. Intell. Syst..

[10]  Muhammad Akram,et al.  Group decision‐making based on pythagorean fuzzy TOPSIS method , 2019, Int. J. Intell. Syst..

[11]  Muhammad Irfan Ali,et al.  q‐Rung orthopair fuzzy soft average aggregation operators and their application in multicriteria decision‐making , 2020, Int. J. Intell. Syst..

[12]  Xindong Peng,et al.  Extension of Einstein geometric operators to multi-attribute decision making under q-rung orthopair fuzzy information , 2020, Granular Computing.

[13]  Ronald R. Yager,et al.  Fermatean fuzzy sets , 2019, Journal of Ambient Intelligence and Humanized Computing.

[14]  Na Li,et al.  Pythagorean fuzzy interaction power Bonferroni mean aggregation operators in multiple attribute decision making , 2020, Int. J. Intell. Syst..

[15]  Weize Wang,et al.  Intuitionistic fuzzy geometric aggregation operators based on einstein operations , 2011, Int. J. Intell. Syst..

[16]  Jiye Liang,et al.  Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes , 2020, Inf. Sci..

[17]  Wieslaw A. Dudek,et al.  Pythagorean Dombi fuzzy aggregation operators with application in multicriteria decision‐making , 2019, Int. J. Intell. Syst..

[18]  Jianqiang Wang,et al.  (1805-4498) A robust aggregation operators for multi-criteria decision-making method with bipolar fuzzy soft environment , 2019 .

[19]  Harish Garg,et al.  Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment , 2020, International journal of environmental research and public health.

[20]  Jianping Chen,et al.  A Hybrid Method for Pythagorean Fuzzy Multiple-Criteria Decision Making , 2016, Int. J. Inf. Technol. Decis. Mak..

[21]  Peide Liu,et al.  Extensions of prioritized weighted aggregation operators for decision-making under complex q-rung orthopair fuzzy information , 2020, J. Intell. Fuzzy Syst..

[22]  Harish Garg,et al.  A robust aggregation operators for multi-criteria decision-making with intuitionistic fuzzy soft set environment , 2017 .

[23]  Muhammad Irfan Ali,et al.  Another view on q‐rung orthopair fuzzy sets , 2018, Int. J. Intell. Syst..

[24]  Madhumangal Pal,et al.  Some Dombi aggregation of Q‐rung orthopair fuzzy numbers in multiple‐attribute decision making , 2019, Int. J. Intell. Syst..

[25]  Alexander Gegov,et al.  Confidence levels q‐rung orthopair fuzzy aggregation operators and its applications to MCDM problems , 2019, Int. J. Intell. Syst..

[26]  Ronald R. Yager,et al.  Fermatean fuzzy weighted averaging/geometric operators and its application in multi-criteria decision-making methods , 2019, Eng. Appl. Artif. Intell..

[27]  Harish Garg,et al.  Generalized intuitionistic fuzzy soft power aggregation operator based on t‐norm and their application in multicriteria decision‐making , 2018, Int. J. Intell. Syst..

[28]  Athar Kharal,et al.  On Fuzzy Soft Sets , 2009, Adv. Fuzzy Syst..

[29]  Zeshui Xu,et al.  Some geometric aggregation operators based on intuitionistic fuzzy sets , 2006, Int. J. Gen. Syst..

[30]  Peng Wang,et al.  Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making , 2018, Int. J. Intell. Syst..

[31]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[32]  Ronald R. Yager,et al.  Some New Operations Over Fermatean Fuzzy Numbers and Application of Fermatean Fuzzy WPM in Multiple Criteria Decision Making , 2019, Informatica.

[33]  Harish Garg,et al.  Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets , 2020, Inf. Sci..

[34]  Muhammad Akram,et al.  Extensions of ELECTRE-I and TOPSIS methods for group decision-making under complex Pythagorean fuzzy environment , 2020 .

[35]  Runtong Zhang,et al.  Some q-Rung Picture Fuzzy Dombi Hamy Mean Operators with Their Application to Project Assessment , 2019, Mathematics.

[36]  D. Molodtsov.  Soft set theory—First results , 1999 .

[37]  Harish Garg,et al.  Some Generalized Complex Intuitionistic Fuzzy Aggregation Operators and Their Application to Multicriteria Decision-Making Process , 2018, Arabian Journal for Science and Engineering.

[38]  Harish Garg,et al.  A novel trigonometric operation-based q-rung orthopair fuzzy aggregation operator and its fundamental properties , 2020, Neural Computing and Applications.

[39]  Muhammad Akram,et al.  Specific Types of q-Rung Picture Fuzzy Yager Aggregation Operators for Decision-Making , 2020, Int. J. Comput. Intell. Syst..

[40]  Guiwu Wei,et al.  Pythagorean Fuzzy Maclaurin Symmetric Mean Operators in Multiple Attribute Decision Making , 2018, Int. J. Intell. Syst..

[41]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[42]  Witold Pedrycz,et al.  Flexible Linguistic Expressions and Consensus Reaching With Accurate Constraints in Group Decision-Making , 2020, IEEE Transactions on Cybernetics.