Intelligent Dynamic Decision System for Estimating Electronics Substitutions in Uncertain Environment

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 facto...

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Main Authors: HUNG-PIN HO, 何宏斌
Other Authors: Kuo-Ping Lin
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/14873029108827439825
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spelling ndltd-TW-098LHU053180112015-10-13T18:44:56Z http://ndltd.ncl.edu.tw/handle/14873029108827439825 Intelligent Dynamic Decision System for Estimating Electronics Substitutions in Uncertain Environment 智慧型動態不確定環境決策系統-以替代料評估為例 HUNG-PIN HO 何宏斌 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. Kuo-Ping Lin 林國平 2010 學位論文 ; thesis 81 zh-TW
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language zh-TW
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sources NDLTD
description 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.
author2 Kuo-Ping Lin
author_facet Kuo-Ping Lin
HUNG-PIN HO
何宏斌
author HUNG-PIN HO
何宏斌
spellingShingle HUNG-PIN HO
何宏斌
Intelligent Dynamic Decision System for Estimating Electronics Substitutions in Uncertain Environment
author_sort HUNG-PIN HO
title Intelligent Dynamic Decision System for Estimating Electronics Substitutions in Uncertain Environment
title_short Intelligent Dynamic Decision System for Estimating Electronics Substitutions in Uncertain Environment
title_full Intelligent Dynamic Decision System for Estimating Electronics Substitutions in Uncertain Environment
title_fullStr Intelligent Dynamic Decision System for Estimating Electronics Substitutions in Uncertain Environment
title_full_unstemmed Intelligent Dynamic Decision System for Estimating Electronics Substitutions in Uncertain Environment
title_sort intelligent dynamic decision system for estimating electronics substitutions in uncertain environment
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/14873029108827439825
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