Title
A method to solve linear programming problem with interval type-2 fuzzy parameters.
Abstract
In this paper, we propose a method to solve linear programming network problems with constraints using interval type-2 fuzzy variables. The method is developed using generalized credibility measure, and lower and upper membership functions of an interval type-2 fuzzy variable. This method has been applied to solve a solid transportation problem with availabilities and demands of a product, and conveyance capacities, which are represented by trapezoidal interval type-2 fuzzy variables. Moreover, we have also shown that different types of problems with objective function having interval type-2 fuzzy parameters can be solved using the proposed method. Apart from a solid transportation problem, we demonstrate its applicability by solving two different network problems: (i) a shortest path problem and (ii) a minimum spanning tree problem. Suitable numerical examples are provided to illustrate the proposed method
Year
DOI
Venue
2019
10.1007/s10700-018-9287-2
FO & DM
Keywords
Field
DocType
Interval type-2 fuzzy variable, Membership function, Generalized credibility measure, Chance-constraint programming
Mathematical optimization,Shortest path problem,Credibility,Solid transportation problem,Fuzzy logic,Linear programming,Membership function,Mathematics,Minimum spanning tree
Journal
Volume
Issue
ISSN
18
1
1573-2908
Citations 
PageRank 
References 
2
0.37
18
Authors
4
Name
Order
Citations
PageRank
Pradip Kundu1985.68
Saibal Majumder2143.97
Samarjit Kar360863.41
Manoranjan Maiti451447.77