A new scheme to analyze and solving an equality constraint-based fully fuzzy linear programming problem under trapezoidal fuzzy uncertainty

A fully fuzzy linear programming problem with equality fuzzy constraints has been taken into consideration for the analysis. Here the involved parameters and variables are considered in terms of trapezoidal convex normalized fuzzy sets. In this regard, a new method has been proposed to solve the pro...

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Bibliographic Details
Published in:International journal of system assurance engineering and management Vol. 16; no. 11; pp. 3842 - 3849
Main Author: Behera, Diptiranjan
Format: Journal Article
Language:English
Published: New Delhi Springer India 01.11.2025
Springer Nature B.V
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ISSN:0975-6809, 0976-4348
Online Access:Get full text
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Summary:A fully fuzzy linear programming problem with equality fuzzy constraints has been taken into consideration for the analysis. Here the involved parameters and variables are considered in terms of trapezoidal convex normalized fuzzy sets. In this regard, a new method has been proposed to solve the problem. Accordingly, the problem is first defuzzified into a crisp problem using the concept of the area of a trapezoidal fuzzy number for the objective function and next applying general fuzzy arithmetic rules for the constraints and non-negative restrictions. Solving this crisp linear programming problem one can get the bounds of the core and support of the optimal fuzzy solution. Various numerical example problems have been solved and compared with the existing results for the validation.
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ISSN:0975-6809
0976-4348
DOI:10.1007/s13198-025-02897-z