| 研究生: |
徐惠伶 Hsu, Hui-ling |
|---|---|
| 論文名稱: |
模糊目標規劃法於多偏好資訊下群體決策問題之研究 A Study of Fuzzy Goal Programming Approach to Group Decision Making Based on Multi-Preference Information |
| 指導教授: |
陳梁軒
Chen, Liang-hsuan |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業與資訊管理學系 Department of Industrial and Information Management |
| 論文出版年: | 2007 |
| 畢業學年度: | 95 |
| 語文別: | 中文 |
| 論文頁數: | 62 |
| 中文關鍵詞: | 多偏好資訊 、群體決策 、模糊目標規劃 |
| 外文關鍵詞: | Fuzzy goal programming, Group decision making, Multi-preference information |
| 相關次數: | 點閱:131 下載:1 |
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隨著決策問題的複雜化,以往單憑個人知識或經驗判斷而行的決策方式,逐漸因無法考量所有面向而不符實際,因此群體決策問題便應運而生,而過去常見的群體決策問題中,多限制參與決策方案評估的專家們僅可使用單一偏好資訊為其方案評比形式。然而事實上,隨著各專家間背景與文化等的差異,彼此對於偏好的方案評比方式往往隨之不同,若是限制多專家間僅可使用單一偏好評比形式實有不妥。因此本研究即考慮同時提供多偏好資訊於決策問題中,允許專家們可由乘積偏好、模糊偏好與語意偏好三種偏好資訊中,選擇較喜好之評比形式為其意見表達方法,其後經由方案集合排序值的建立整合上述多偏好資訊,並於考量決策者滿足程度的狀況下,建構出考慮群體多專家、多偏好資訊下之模糊目標規劃模式。此外,本研究亦同時考慮了各專家間可能存在相對重要性不同的狀況,在採納各專家間具有優先次序等級下,假設專家相對重要性越大時,最終方案集合排序值即應與其意見具有較高的一致性,使優先次序較高的專家能有較大之滿足程度,亦或者可達成決策者較高的期望限制,以期使能在群體意見滿足度最大化之目標下,找出考量專家優先次序等級時的群體意見共識值。
In most of the group decision making problems, the preference information provided by experts is represented in the same format. But in decision situations with multiple individuals, each one has his own expertise and cultural. Thus there is a need to provide diverse preference formats for experts to express their preference in group decision making. This study deals with group decision making problems in which the preference information on alternatives provided by experts is represented in three different formats, i.e. multiplicative preference relations, fuzzy preference relations, and linguistic preference relations. Each expert in group decision making problem can choose the most familiar way to express his preference for alternatives. The collective ranking values are constructed to represent the final collective result on alternatives and integrated the three different formats of preference relations. In order to consider the satisfaction function of decision maker and select the most desirable alternatives, a fuzzy goal programming model is constructed to compute the collective ranking values of alternatives. In this study, we also take into account the importance of experts to find solutions. Based on preemptive priority of each expert, we assume that the more important of an expert, the collective ranking values should have higher consensus with his opinion and let the expert have higher satisfaction degree or satisfied with higher minimum desirable restrain. The results show that the proposed model can find the group consensus match with expert’s preemptive priority under maximum decision maker’s satisfaction degree.
簡禎富,決策分析與管理-全面決策品質提升之架構與方法,雙葉書廊,台北市,民國94年。
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