International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Amit Kumar, Pushpinder Singh1, Jagdeep Kaur

School of Mathematics and Computer Applications Thapar University, 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.


Keywords: fuzzy linear programming problems; ranking function; trapezoidal fuzzy numbers.


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ARTICLE INFORMATION



Accepted: 2010-11-17
Available Online: 2010-12-01


Cite this article:

Kumar, A., Singh, P., Kaur, J. 2010. Two phase method for solving fuzzy linear programming problems using ranking of generalized fuzzy numbers. International Journal of Applied Science and Engineering, 8, 127–147. https://doi.org/10.6703/IJASE.2010.8(2).127

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