Fuzzy Goal Programming Problem Based on Minmax Approach for Optimal System Design

Nurullah Umarusman

Alphanumeric Journal, 2018, vol. 6, issue 1, 177-192

Abstract: Every system in nature evolved in order to carry on their existence and reach their targets with minimal losses. The fundamental condition of a system’s success lies on making the correct decision by evaluating multiple, complicated, and conflicting goals based on the present constraints. Many mathematical programming problems are make up of objective functions combined by the decision maker based on the constrains. This study investigates how an optimal design can be reached based on Minmax approach. Goal Programming and a Fuzzy Goal Programming known as MA approach are used in this study. The solution of a problem organized as a Multiple De novo programming in order to determine the resource amounts for a business in handcrafts is carried out based on these two approaches. Budget constrain is organized as a goal to solve the problem based on MA approach, and a solution is proposed accordingly. The acquired results suggest that the solution results of Minmax Goal Programming and MA approach are the same.

Keywords: De Novo Programming; Fuzzy Goal Programming; Minmax Goal Programming; Optimal System Design (search for similar items in EconPapers)
JEL-codes: C44 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:anm:alpnmr:v:6:y:2018:i:1:p:177-192

DOI: 10.17093/alphanumeric.404680

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