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2014•Unpublished venueRequires access

Analysis of The Applicability of Goal Programming Procedure for Solving Fuzzy Multiobjective Linear Fractional Programming Problems.

Tunjo Perić, Zoran Babić, Sead Rešić

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Abstract

This paper presents a modification of Pal, Moitra and Maulik's goal programming procedure for fuzzy multiobjective linear fractional programming problem solving. The proposed modification of the method allows simpler solving of economic multiple objective fractional linear programming (MOFLP) problems, enabling the obtained solutions to express the preferences of the decision maker defined by the objective function weights. The proposed method is tested on the production planning example.

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What this paper is about

This paper presents a modification of Pal, Moitra and Maulik's goal programming procedure for fuzzy multiobjective linear fractional programming problem solving. The proposed modification of the method allows simpler solving of economic multiple objective fractional linear programming (MOFLP) problems, enabling the obtained solutions to express the preferences of the decision maker defined by the objective function weights. The proposed method is tested on the production planning example.

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Available abstract

This paper presents a modification of Pal, Moitra and Maulik's goal programming procedure for fuzzy multiobjective linear fractional programming problem solving. The proposed modification of the method allows simpler solving of economic multiple objective fractional linear programming (MOFLP) problems, enabling the obtained solutions to express the preferences of the decision maker defined by the objective function weights. The proposed method is tested on the production planning example.

Key concepts: Linear-fractional programming, Goal programming, Fractional programming, Mathematical optimization, Linear programming, Decision maker, Mathematics, Fuzzy logic

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Analysis of The Applicability of Goal Programming Procedure for Solving Fuzzy Multiobjective Linear Fractional Programming Problems. — Research Paper | ScholarLens