2005
DOI: 10.1007/10966518_27
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Fuzzy Linear Programming: A Modern Tool for Decision Making

Abstract: 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 coeffic… Show more

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Cited by 4 publications
(2 citation statements)
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“…The verdicts are fuzzy in maximum real-life situations, and initial attempts at the choices are essential to formulate a suitable model or cases to be analyzed. Likewise, we introduce fuzziness in our models of such situations to suggest means of processing fuzzy information [4]. In linear programming solution that satisfies both the constraints and the objective function has been named an optimum solution.…”
Section: Introductionmentioning
confidence: 99%
“…The verdicts are fuzzy in maximum real-life situations, and initial attempts at the choices are essential to formulate a suitable model or cases to be analyzed. Likewise, we introduce fuzziness in our models of such situations to suggest means of processing fuzzy information [4]. In linear programming solution that satisfies both the constraints and the objective function has been named an optimum solution.…”
Section: Introductionmentioning
confidence: 99%
“…That is to find the optimal product mix under uncertain constraints in the technical, raw material and market consideration. Furthermore, it is possible to show the relationship between the optimal cost and the corresponding membership values (Vasant et al, 2002a). According…”
Section: Introductionmentioning
confidence: 99%