Paper Info
Title
Defuzzification of trapezoidal type-2 fuzzy variables and its application to solid transportation problem.
Abstract
The main proposal of this paper is to derive two different reduction process for a trapezoidal type-2 fuzzy number. The first reduction method is based on critical values and the second method is based on alpha-cut of fuzzy number. As an application a multi-objective solid transportation problem, minimizing the cost and time has been developed using trapezoidal type-2 fuzzy number as system parameters and hereby solved. Finally after solving the proposed multi-objective problem by intuitionistic fuzzy programming technique a comparison between the two proposed reduction methods are discussed briefly. The proposed models and techniques are finally illustrated by providing numerical examples at the end. Also this paper present a comparative study between the proposed method to the KM algorithm and NT method for type reduction.
Year
DOI
Venue
2016
10.3233/IFS-152013
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Critical values,defuzzification,trapezoidal type-2 fuzzy set,intuitionistic fuzzy programming technique,solid transportation problem
Defuzzification,Fuzzy logic,Solid transportation problem,Algorithm,Fuzzy programming,Artificial intelligence,Fuzzy number,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
30
4
1064-1246
Citations 
PageRank 
References 
9
0.51
27
Authors
3
Name
Order
Citations
PageRank
Amrit Das1345.21
Uttam Kumar Bera2357.25
Manoranjan Maiti351447.77