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Redundancy Optimization using Intuitionistic Fuzzy Multi-Objective Programming
Volume 7, Number 2, March 2011 - Paper 4 - pp. 155-164
G.S. MAHAPATRA1, and B.S. MAHAPATRA21 Department of Engineering Sciences and Humanities, Siliguri Institute of Technology, P.O.-Sukna, Siliguri-734009, West Bengal, India.
2 Department of Mathematics, Seacom Engineering College, JL-2, Jaladhulagori, Sankrail, Howrah-711302, West Bengal, India.
(Received on September 22, 2009, revised on September 4, 2010)
In this paper, redundancy allocation problem for system reliability has been presented with entropy as objective function. This model using entropy has been used to account for the lack of expert’s information. The goal of entropy redundancy allocation problem is to find out optimal level of redundancies at each subsystem in a way that maximizes reliability and entropy of the system subject to specified system cost. Intuitionistic fuzzy optimization technique is used to analyze an entropy based reliability redundancy optimization problem. Numerical examples have been provided to illustrate the model.
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