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Two ahzsx TxthoK for Solving Fuzzy Linxzr arogrzTTing aroilxTs using Rznking of GxnxrzlizxK Fuzzy NuTixrs
APit TuPar a, PuPApindxr PingA a and Jagdxxp Taur a
aPZAool of PatAxPatiZP and ZoPputxr AppliZationP TAapar UnivxrPity, Patiala-147 004, India
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Abstract:
Ranking of fuzzy numbers play an important role in decision making problems. Fuzzy numbers must be ranked before an action is taken by a decision maker. Chen (Operations on fuzzy numbers with function principal, Tamkang Journal of Management Science 6 (1985) 13-25) pointed out that in many cases it is not to possible to restrict the membership function to the normal form and proposed the concept of generalized fuzzy numbers. In this paper two phase method is proposed for solving a special type of fuzzy linear programming (FLP) problems using generalized fuzzy numbers. To illustrate the proposed method a numerical example is solved and the advantages of the proposed method are discussed. Since the proposed method is a direct extension of classical method so it is very easy to understand and apply the proposed method to find the fuzzy optimal solution of FLP problems occurring in the real life situations.
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Keywords: fuzzy linear programming problems; ranking function; trapezoidal fuzzy numbers.
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*Corresponding author; e-mail: pushpindersnl@gmail.com
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©
2010
CSME , ISSN 0257-9731
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