| Summary: | 碩士 === 龍華科技大學 === 商學與管理研究所 === 98 === Due to that the market demand is changed rapidly, the electronic industry usually designs high flexible substitutive method to efficiently utilize material. Because of the alternative material usually adopt subject decision and there are a lot of uncertain factors and the timing, the research will develop a decision support model, which may be called intelligent dynamic decision system under uncertainty, for estimating and selecting substitution in dynamic and uncertain environment. This decision evaluation model is a hybrid system combining the fuzzy weight average (FWA) with the fuzzy inference system (FIS). In order to accurately estimating the decision in uncertain environment, this research makes alternative material decision by using the FWA, and in order to making decision effectively, this research develops a model － the weakest t-norm (TW) FWA. Owing to the difference in the principle of fuzzy calculation, the weakest t-norm FWA can directly request membership function for each policy proposal and decrease the complexity in interval arithmetic method. At the same time, the fuzzy weight of some principle will be changed in different decision situation. In this paper the research also apply expert’s knowledge to build the fuzzy inference system, it will be changed the fuzzy weight of the high related criterion per expert’s rule in different decision situation. In the example of electronic industry, it found that intelligent dynamic decision system under uncertainty can present the effective policy to assist electronic industry to make substitution decision.
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