Standby redundancy optimization problems with fuzzy lifetimes |
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| Affiliation: | 1. Northwest Institute of Mechanical and Electrical Engineering, Xianyang 712000, PR China;2. Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang 362200, PR China;1. Cognitive Robotics Lab, Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, North karegar Ave., Tehran, Iran;2. School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), 19395 Tehran, Iran;3. IMPRS for Cognitive and Systems Neuroscience, University of Tübingen, Österbergerstr. 3, 72074 Tübingen, Germany\n |
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| Abstract: | Three types of system performances—the expected system lifetime, α-system lifetime, and system reliability—characterized in the context of credibility are investigated in this paper. Some fuzzy simulations are designed to estimate these system performances. In order to formulate general standby redundancy optimization problems with fuzzy lifetimes, a spectrum of standby redundancy fuzzy programming models are proposed. Fuzzy simulation, neural network, and genetic algorithm are also integrated to produce a hybrid intelligent algorithm for solving those models. Finally, some numerical experiments on multi-stage system and network system are provided. |
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