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Advances in Fuzzy SystemsVolume 2012 2012, Article ID 650419, 8 pages

Research ArticleDepartment of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran

Received 30 April 2012; Revised 15 October 2012; Accepted 17 October 2012

Academic Editor: Zeki Ayag

Copyright © 2012 Amir Yousefli and Mehdi Ghazanfari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Improving decisions efficiency is one of the major concerns of the decision support systems. Specially in the uncertain environment, decision support systems could be implemented efficiently to simplify decision making process. In this paper stochastic economic order quantity EOQ problem is investigated in which decision variables and objective function are uncertain in nature and optimum probability distribution functions of them are calculated through a geometric programming model. Obtained probability distribution functions of the decision variables and the objective function are used as optimum knowledge to design a new probabilistic rule base PRB as a decision support system for EOQ model. The developed PRB is a new type of the stochastic rule bases that can be used to infer optimum or near optimum values of the decision variables and the objective function of the EOQ model without solving the geometric programming problem directly. Comparison between the results of the developed PRB and the optimum solutions which is provided in the numerical example illustrates the efficiency of the developed PRB.





Author: Amir Yousefli and Mehdi Ghazanfari

Source: https://www.hindawi.com/



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