Fuzzy linear programming coefficients in an uncertain with vague objective environment

P., Vasant and Nagarajan, R. and Sazali Yaacob (2005) Fuzzy linear programming coefficients in an uncertain with vague objective environment. Journal of the Operational Research Society, 56 (5). pp. 597-603. ISSN 0160-5682


Download (123kB) | Preview


In this paper, a new fuzzy linear programming (FLP)-based methodology using a specific membership function named modified logistic membership function is proposed. The modified logistic membership function is first formulated and its flexibility established by an analytical approach. This membership function is tested for its useful performance through an illustrative example by employing FLP. The developed methodology of FLP has provided confidence in applying to real-life industrial production planning problem. This approach of solving industrial production planning problem can provide feedback to the decision maker, implementer and analyst. In such cases, this approach can be called interactive FLP. There is a possibility to design the self-organizing of the fuzzy system for the product mix selection problem in order to find a satisfactory solution. The decision maker, analyst and implementer can incorporate their knowledge and experience to obtain the best outcome.

Item Type: Article
Uncontrolled Keywords: Membership function, Fuzzy linear programming, Vague coefficients, Uncertainty, Degree of satisfaction, Decision making
Subjects: Q Science > QA Mathematics
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 13 Oct 2011 23:56
Last Modified: 16 Oct 2017 08:17
URI: http://eprints.ums.edu.my/id/eprint/988

Actions (login required)

View Item View Item