An approach to multi-attribute decision making based on intuitionistic fuzzy rough Aczel-Alsina aggregation operators

被引:2
|
作者
Hussain, Amir [1 ]
Wang, Haolun [2 ]
Garg, Harish [3 ,4 ,5 ,6 ]
Ullah, Kifayat [1 ]
机构
[1] Riphah Int Univ Lahore, Riphah Inst Comp & Appl Sci, Dept Math, Lahore 54000, Pakistan
[2] Nanchang Hangkong Univ, Sch Econ & Management, Nanchang, Peoples R China
[3] Deemed Univ, Thapar Inst Engn & Technol, Sch Math, Patiala 147004, Punjab, India
[4] Appl Sci Private Univ, Appl Sci Res Ctr, Amman 11931, Jordan
[5] Graph Era Deemed Be Univ, Dept Math, Dehra Dun 248002, Uttarakhand, India
[6] Islamic Univ, Coll Tech Engn, Najaf, Iraq
关键词
Intuitionistic fuzzy set; Rough set; Intuitionistic fuzzy rough set; Aczel-Alsina norm; MAGDM; NUMBERS;
D O I
10.1016/j.jksus.2023.102760
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A concept of intuitionistic fuzzy rough set based on approximations plays a vital role in coping with uncertainty. Aczel-Alsina t-norm and t-conorm are the most flexible operational laws based on the parameter for fuzzy frameworks. In multi-attribute group decision-making (MAGDM), the aim of this article is to develop some tools based on norm operations for the information fusion. In this article, intuitionistic fuzzy rough Aczel-Alsina weighted geometric operators are developed and studied their properties. Based on these operators, MAGDM algorithm is presented. The developed aggregation operators (AOs) are compared with some existing AOs, and their significance is discussed. (c) 2023 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
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页数:7
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