Paper Info
Title
Protraction Of Einstein Operators For Decision-Making Under Q-Rung Orthopair Fuzzy Model
Abstract
An q-rung orthopair fuzzy set is a generalized structure that covers the modern extensions of fuzzy set, including intuitionistic fuzzy set and Pythagorean fuzzy set, with an adjustable parameter q that makes it flexible and adaptable to describe the inexact information in decision making. The condition of q-rung orthopair fuzzy set, i.e., sum of qth power of membership degree and nonmembership degree is bounded by one, makes it highly competent and adequate to get over the limitations of existing models. The basic purpose of this study is to establish some aggregation operators under the q-rung orthopair fuzzy environment with Einstein norm operations. Motivated by innovative features of Einstein operators and dominant behavior of q-rung orthopair fuzzy set, some new aggregation operators, namely, q-rung orthopair fuzzy Einstein weighted averaging, q-rung orthopair fuzzy Einstein ordered weighted averaging, generalized q-rung orthopair fuzzy Einstein weighted averaging and generalized q-rung orthopair fuzzy Einstein ordered weighted averaging operators are defined. Furthermore, some properties related to proposed operators are presented. Moreover, multi-attribute decision making problems related to career selection, agriculture land selection and residential place selection are presented under these operators to show the capability and proficiency of this new idea. The comparison analysis with existing theories shows the superiorities of proposed model.
Year
DOI
Venue
2021
10.3233/JIFS-201611
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Einstein operators, q-rung orthopair fuzzy numbers, averaging operators, generalized weighted averaging operators
Journal
40
Issue
ISSN
Citations 
3
1064-1246
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Muhammad Akram144.46
Gulfam Shahzadi211.36
Sundas Shahzadi382.12