Fuzzy linear programming for decision making and planning under uncertainty

Vasant, P.M. (2005) Fuzzy linear programming for decision making and planning under uncertainty. International Journal of Information Technology and Decision Making, 4 (4). pp. 647-662. ISSN 02196220

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Abstract

In this paper, the S-curve membership function methodology is used in a real life industrial problem of mix product selection. This problem occurs in the chocolate manufacturing industry whereby a decision maker, analyst and implementer play important roles in making decisions in an uncertain environment. As analysts, we try to find a solution with a higher level of satisfaction for the decision maker to make a final decision. This problem of mix product selection is considered because all the coefficients such as objective, technical and resource variables are fuzzy. This is considered as one of the sufficiently large problem involving 29 constraints and 8 variables. A decision maker can identify which vagueness (α) is suitable for achieving satisfactory optimal revenue. The decision maker can also suggest to the analyst some possible and practicable changes in fuzzy intervals for improving the satisfactory revenue. This interactive process has to go on among the analyst, the decision maker and the implementer until an optimum satisfactory solution is achieved and implemented. © World Scientific Publishing Company.

Item Type: Article
Additional Information: cited By 13
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/16

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