A Fuzzy Decision Process for Aging Repairable Systems

• Main Authors: Chi-Chung Chang, 張啟昌
• Other Authors: Miao-Tsong Lin
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/20140482011503858237

碩士 === 銘傳大學 === 資訊管理研究所 === 89 === Repairable systems, such as electronic or mechanical systems, usually have the phenomena of aging, since such systems can be restored to fully implement the required functions by methods other than replacing the entire system, usually, the successive failure times can become smaller and smaller. If aging is detected, then the decision of when to overhaul or discard the system is of fundamental importance. However, experts’ opinions about the degree of aging and the initial status of the system, which are usually the absence of sharply defined criteria, are critical for decision making. This paper develops a fuzzy Bayesian decision process to deal with such situations and provide guidelines for decision making in aging repairable systems.