Paper Info
Title
Intuition based decision methodology for ranking interval type – II fuzzy numbers
Abstract
Type - II fuzzy number is introduced in decision making analysis as a concept that is capable to effectively deal with uncertainty in the information about a decision. As type - II fuzzy number is represented by possibility distribution, it is hard to determine which type - II fuzzy number is greater than the other. In this paper, a new methodology for ranking type - II fuzzy number is proposed. The methodology is made up based on two intuitionistic components namely centroid point and spread. The paper also introduces for the first time the extension of type - II fuzzy number into standardised generalised type - II fuzzy number so that the representation is more generic and applicable to any cases of decision making problems. The methodology is then validated using both theoretical and empirical validations for real decision making applications.
Year
Venue
Keywords
2015
PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY
Interval type - II fuzzy number,ranking interval type - II fuzzy number,standardised generalised interval type - II fuzzy numbers,consistent with human intuition
Field
DocType
Volume
Discrete mathematics,Defuzzification,Ranking,Fuzzy classification,Fuzzy set operations,Fuzzy mathematics,Artificial intelligence,Type-2 fuzzy sets and systems,Fuzzy number,Fuzzy associative matrix,Mathematics
Conference
89
ISSN
Citations 
PageRank 
1951-6851
0
0.34
References 
Authors
10
2
Name
Order
Citations
PageRank
Ahmad Syafadhli Abu Bakar1132.59
Alexander E. Gegov2478.47