Solving fuzzy linear programming problems with modified s-curve membership function

Vasant, P.M. (2005) Solving fuzzy linear programming problems with modified s-curve membership function. International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems, 13 (1). pp. 97-109. ISSN 02184885

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Abstract

In this paper, we concentrate on two kinds of fuzzy linear programming problems: linear programming problems with only fuzzy resource variables and linear programming problems in which both the resource variables and the technological coefficients are fuzzy numbers. We consider here only the case of fuzzy numbers with modified s-curve membership functions. We propose here the modified s-curve membership function as a methodology for fuzzy linear programming and use it for solving these problems. We also compare the new proposed method with non-fuzzy linear programming optimization method. Finally, we provide real life application examples in production planning and their numerical solutions. © World Scientific Publishing Company.

Item Type: Article
Additional Information: cited By 21
Uncontrolled Keywords: Decision making; Functions; Fuzzy sets; Nonlinear programming; Optimization; Problem solving, Degree of satisfaction; Fuzzy intervals; Fuzzy linear programming; Vagueness, Linear programming
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:10
Last Modified: 09 Nov 2023 15:10
URI: https://khub.utp.edu.my/scholars/id/eprint/22

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