Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/81428
Title: Fuzzy abductive inference model for diagnostic problem solving using tabu search approach
Authors: Wen, Fushuan 
Chang, C.S. 
Issue Date: 1997
Citation: Wen, Fushuan,Chang, C.S. (1997). Fuzzy abductive inference model for diagnostic problem solving using tabu search approach. Proceedings - IEEE International Symposium on Circuits and Systems 4 : 2745-2748. ScholarBank@NUS Repository.
Abstract: In this paper, the well developed parsimonious set covering theory based abductive inference model for diagnostic problem solving is extended, in order to deal with degrees of cause-and-effect relationship between disorders and manifestations, and degrees of manifestations. A new fuzzy abductive inference model capable of handling these problems is developed, and a new criterion for describing the relative plausibility of different diagnosis hypotheses proposed. Based on this criterion, the diagnostic problem is then formulated as a 0-1 integer programming problem, and a tabu search (TS) approach is presented for solving the problem. Two sample studies are served for demonstrating the reasonableness of the developed fuzzy abductive inference model and the computational efficiency of the TS based method.
Source Title: Proceedings - IEEE International Symposium on Circuits and Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/81428
ISSN: 02714310
Appears in Collections:Staff Publications

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