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題名 | A Dempster-Shafer Based Approach to Compromise Decision Making with Multiattributes Fuzzy Information |
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作 者 | 蔣能良; | 書刊名 | 華夏學報 |
卷期 | 35 2000.12[民89.12] |
頁次 | 頁15141-15162 |
分類號 | 448.6 |
關鍵詞 | Dempster-Shafer理論; 多屬性模糊資訊; |
語文 | 英文(English) |
英文摘要 | Dempster-Shafer theory of evidence reasoning be widely applied to imprecise and vague information. The ideas of this theory is modifies the probabilistic of proposition and defines the intervals by upper and lower probabilities instead of probability value. The combination rule refers to the situation that the goal been supported separately by more than two different uncertain pieces of evidence. In real word, the problem of evaluation of some objects is frequently encounter, for instance, when we want to select a technology, which represent by hierarchical relationships of factors and make decision after evaluation of economic efficiency. The characteristics are often represent by fuzzy event and the degree of belief of each element is address through expert evaluation. Those factors are often represent by fuzzy event and the degree of belief of each factor is address through expert evaluation. Several authors attempt to generalize the Dempster-Shafer theory to deal with the imprecise information of fuzzy sets. Because of there were exist some weaknesses, it cannot be widely in practice use. We intend to find a method that based on the concept of fuzzy event measure and treating a fuzzy subset as a statistical random subset. So that, we can transfer the probability of fuzzy event to distribute base probability assignment, and direct using Dempster's rule of combination for decision making without any change. Dempster's rule of combination for decision making without any change. |
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