Paper Info
Title
Linguistic Labels For Expressing Fuzzy Preference Relations In Fuzzy Group Decision Making
Abstract
This paper proposes improvements to pairwise group decision making based on fuzzy preference relations in three ways, First, it extends the fuzzy preference relation representation using linguistic labels, Decision makers may express their preference relations in linguistic labels which are more practically implementable for solving group decision making problems, Second, it modifies the computational procedures by using fuzzy sets representation and computation, and by avoiding the use of strict threshold values, This allows natural representation, preserves the preference accuracy, and produces more intuitively meaningful solutions, Finally, it considers fuzzy criteria of the alternatives explicitly, Solutions are first derived based on each criterion, and then by using neat ordered weighted average (OWA) operator the final solutions which accommodate all criteria are determined, The proposed method is verified for solving fuzzy group decision making problems, i,e., advertising media selection cases.
Year
DOI
Venue
1998
10.1109/3477.662760
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Keywords
Field
DocType
advertising,computational modeling,fuzzy set theory,group decision making,fuzzy sets,decision theory,agricultural engineering,decision maker,fuzzy set
Linear partial information,Fuzzy classification,Defuzzification,Fuzzy set operations,Computer science,Fuzzy measure theory,Fuzzy set,Artificial intelligence,Type-2 fuzzy sets and systems,Fuzzy number,Linguistics,Machine learning
Journal
Volume
Issue
ISSN
28
2
1083-4419
Citations 
PageRank 
References 
70
7.47
5
Authors
4
Name
Order
Citations
PageRank
M. Marimin1858.72
Motohide Umano218328.91
Itsuo Hatono313318.38
Hiroyuki Tamura417630.79