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FUZZY VARIABLE LINEAR PROGRAMMING PROBLEMS USING A FUZZY DUAL SIMPLEX ALGORITHM.

Authors :
Kolli, Srinivasa Rao
Rao, U. V. Adinarayana
Gongada, Taviti Naidu
Source :
Reliability: Theory & Applications. Sep2024, Vol. 19 Issue 3, p630-637. 8p.
Publication Year :
2024

Abstract

In modern research, several brilliant minds investigate linear programming problems involving fuzzy variable quantities. Many researchers have turned to linear programming by fuzzy variables to address this problem. Various fuzzy simplex approaches have been developed, using ranking functions to handle fuzzy numbers. Results from this research suggest that linear ranking functions can provide a straightforward interpretation of problems involving linear programming by fuzzy variable quantities. To solve these types of problems, the Fuzzy Dual Simplex Tableau method is often applied, which proves useful for sensitivity analysis when modifications are made to the activity vectors of the fundamental columns. In this study, a numerical case is presented to demonstrate the potential benefits of this approach for future technologies. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*LINEAR programming
*FUZZY numbers

Details

Language :
English
ISSN :
19322321
Volume :
19
Issue :
3
Database :
Academic Search Index
Journal :
Reliability: Theory & Applications
Publication Type :
Academic Journal
Accession number :
180449650