Linear Programming Problem with Interval Type 2 Fuzzy Coefficients and an Interpretation for Its Constraints

Interval type 2 fuzzy numbers are a special kind of type 2 fuzzy numbers. These numbers can be described by triangular and trapezoidal shapes. In this paper, first, perfectly normal interval type 2 trapezoidal fuzzy numbers with their left-hand and right-hand spreads and their core have been introdu...

Full description

Saved in:
Bibliographic Details
Main Authors: A. Srinivasan, G. Geetharamani
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2016/8496812
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832566655844089856
author A. Srinivasan
G. Geetharamani
author_facet A. Srinivasan
G. Geetharamani
author_sort A. Srinivasan
collection DOAJ
description Interval type 2 fuzzy numbers are a special kind of type 2 fuzzy numbers. These numbers can be described by triangular and trapezoidal shapes. In this paper, first, perfectly normal interval type 2 trapezoidal fuzzy numbers with their left-hand and right-hand spreads and their core have been introduced, which are normal and convex; then a new type of fuzzy arithmetic operations for perfectly normal interval type 2 trapezoidal fuzzy numbers has been proposed based on the extension principle of normal type 1 trapezoidal fuzzy numbers. Moreover, in this proposal, linear programming problems with resources and technology coefficients are perfectly normal interval type 2 fuzzy numbers. To solve this kind of fuzzy linear programming problems, a method based on the degree of satisfaction (or possibility degree) of the constraints has been introduced. In this method the fulfillment of the constraints can be measured with the help of ranking method of fuzzy numbers. Optimal solution is obtained at different degree of satisfaction by using Barnes algorithm with the help of MATLAB. Finally, the optimal solution procedure is illustrated with numerical example.
format Article
id doaj-art-f88d75103b074c9ab4ae638db0aebdb0
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-f88d75103b074c9ab4ae638db0aebdb02025-02-03T01:03:33ZengWileyJournal of Applied Mathematics1110-757X1687-00422016-01-01201610.1155/2016/84968128496812Linear Programming Problem with Interval Type 2 Fuzzy Coefficients and an Interpretation for Its ConstraintsA. Srinivasan0G. Geetharamani1Department of Mathematics, Anna University, Bharathidasan Institute of Technology (BIT) Campus, Tiruchirappalli, Tamilnadu 620 024, IndiaDepartment of Mathematics, Anna University, Bharathidasan Institute of Technology (BIT) Campus, Tiruchirappalli, Tamilnadu 620 024, IndiaInterval type 2 fuzzy numbers are a special kind of type 2 fuzzy numbers. These numbers can be described by triangular and trapezoidal shapes. In this paper, first, perfectly normal interval type 2 trapezoidal fuzzy numbers with their left-hand and right-hand spreads and their core have been introduced, which are normal and convex; then a new type of fuzzy arithmetic operations for perfectly normal interval type 2 trapezoidal fuzzy numbers has been proposed based on the extension principle of normal type 1 trapezoidal fuzzy numbers. Moreover, in this proposal, linear programming problems with resources and technology coefficients are perfectly normal interval type 2 fuzzy numbers. To solve this kind of fuzzy linear programming problems, a method based on the degree of satisfaction (or possibility degree) of the constraints has been introduced. In this method the fulfillment of the constraints can be measured with the help of ranking method of fuzzy numbers. Optimal solution is obtained at different degree of satisfaction by using Barnes algorithm with the help of MATLAB. Finally, the optimal solution procedure is illustrated with numerical example.http://dx.doi.org/10.1155/2016/8496812
spellingShingle A. Srinivasan
G. Geetharamani
Linear Programming Problem with Interval Type 2 Fuzzy Coefficients and an Interpretation for Its Constraints
Journal of Applied Mathematics
title Linear Programming Problem with Interval Type 2 Fuzzy Coefficients and an Interpretation for Its Constraints
title_full Linear Programming Problem with Interval Type 2 Fuzzy Coefficients and an Interpretation for Its Constraints
title_fullStr Linear Programming Problem with Interval Type 2 Fuzzy Coefficients and an Interpretation for Its Constraints
title_full_unstemmed Linear Programming Problem with Interval Type 2 Fuzzy Coefficients and an Interpretation for Its Constraints
title_short Linear Programming Problem with Interval Type 2 Fuzzy Coefficients and an Interpretation for Its Constraints
title_sort linear programming problem with interval type 2 fuzzy coefficients and an interpretation for its constraints
url http://dx.doi.org/10.1155/2016/8496812
work_keys_str_mv AT asrinivasan linearprogrammingproblemwithintervaltype2fuzzycoefficientsandaninterpretationforitsconstraints
AT ggeetharamani linearprogrammingproblemwithintervaltype2fuzzycoefficientsandaninterpretationforitsconstraints