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題名 解決案例式推論中多專家間知識衝突之模式探討
A Solution Model for Knowledge Conflict among Multiple Experts in Case Base Reasoning
作者 陳信宏
Hsin-Hung Chen
貢獻者 林我聰
Woo-Tsong Lin
陳信宏
Hsin-Hung Chen
關鍵詞 案例式推論
群體決策
多評準決策
Case-Base Reasoning
Group Decision
Multiple Criteria Decision-Making
Nemawashi
日期 2002
上傳時間 18-Sep-2009 19:34:22 (UTC+8)
摘要 專家系統自1965年發展至今,其發展是與日遽增,在邁入二十一世紀這個新紀元,傳統的專家系統遭遇到不同以往的問題,不僅處理的問題複雜度提高之外,在建置系統的過程中需要更多專家提供其寶貴的意見,以期讓系統在處理問題的層面能更加寬廣及增進其彈性和效用。因此,多專家系統能夠解決傳統上單一專家先天上的限制。Gaines和Shaw於1989年在其論著中指出,利用一群專家的知識來發展專家系統其效益比單一專家來的更好。
      然而,在多專家的專家系統中會產生案例選取的衝突,過去大都依賴人為的經驗法則判斷。如此一來,不僅在處理的時間成本上產生耗損,其選取案例的公信力亦容易令人產生存疑。此外在相關的研究上,絕大多數都未對於此一衝突提出另外一套較具公正性的解決辦法。
      針對此一現象,本研究發現欲解決其中之案例衝突,可以藉由群體決策和多評準決策領域中尋求解決之辦法,透過本研究一連串的文獻蒐集與探討,得到Nemawashi決策模式可以加以導入應用,因此,本研究嘗試引用案例式推論(Case-Base Reasoning)、Nemawashi 決策模式,提出一個整合多專家的意見和解決其案例產生衝突的方法。
Expert system has been in speeding development since 1965. With the advent of the 21st century, the traditional expert system is encountering problems different from the past. With the rising complexity of nowadays problems, it requires valuable opinions from more professionals in the construction of expert system. The multi-expert knowledge can not only broaden the scope in which the system handles problems, but also enhance the system’s flexibility and efficiency. Thus, multi-expert system outsmarts the conventional expert system which is restricted by the voice of a single expert. Gaines and Shaw in 1989 commented that the expert system was better quipped with a group of experts than with one single expert.
      Nevertheless, multi-expert system contains the problem of case conflict. To undermine the conflict, it is common for people to resort to experts’ judgments and their personal experiences. Consequently, the multi-expert system has the disadvantage of consuming time in the process of case selection. Moreover, the case selected out of this process may be unconvincing due to its overdependence on human decisions. As to the problem of case conflict, most of the researches related to multi-expert system do not propose other more objective solutions.
      Focus on the problem mentioned above, this study tends to solve case conflict through the use of Group Decision and Multiple Criteria Decision-Making (MCDM). After the collection and analysis of data, the study finds out that Nemawashi Decisions are effective in handling the problem of case conflict. Thus, this study attempts to apply Nemawashi Decisions in Case-Base Reasoning in order to combine opinions from different experts and to solve the case conflict in the multi-expert system.
參考文獻 中文部分:
1、王偉彥、諸逸之、范護釋編著,1996,專家系統應用與發展工具-CLIPS,全華科技圖書股份有限公司
2、何秉衡,民89,政府採購法下資訊技術委外決策支援系統之研究,銘傳大學資訊管理研究所碩士論文
3、林逸群,民91,應用專家系統於中央空調系統之故障診斷,台北科技大學電機工程研究所碩士論文
4、馮釗炫,民89,多評準決策技術應用於電腦模擬分析之研究,中華大學工業管管理研究所碩士論文
5、張顯洋、陳志菁,1994『Nemawashi 決策過程中協調者支援系統雛型之建立』,管理與系統,第一卷.第二期:215∼242頁
6、張維修,民91,應用異質性群體決策模式於品質變異特採之研究,朝陽科技大學工業工程與管理研究所碩士論文
7、陳一傑,民88,應用模糊理論於多專家案例式推理之研究,元智大學工業工程研究所碩士論文
8、曾憲雄、黃國禎、江孟峰、蔡昌均、林耀聰編著,2002,專家系統導論/工具/應用,台北,松岡電腦圖書資料股份有限公司
9、陳禹辰、歐陽崇榮編著,1991,決策支援與專家系統,台北,全華科技圖書股份有限公司
10、曾國雄、蕭再安、鄧振源,1988,『多評準決策方法之分析比較』,科學發展月刊,第十六卷.第七期:1008∼1017頁
11、郭天耀,民90,以案例式推理做生產力診斷,成功大學工業管理研究所碩士論文
12、詹國良,民91,案例式推理於企業信用評等決策之輔助應用,成功大學工業管理研究所碩士論文
13、楊振興,民91,應用案例式推理建構機車維修管理系統,台北科技大學生產系統工程與管理研究所碩士論文
14、廖世義,民90,臺灣製造業企業功能對生產力績效之影響,成功大學工業管理研究所博士論文
15、鄭慧萍,民91,利用小群體決策技術建構ISO 14000 系統之環境績效評估模式,元智大學工業工程與管理研究所碩士論文
16、劉至得,民86,中正國際機場至台北捷運系統路線方案評估,國立交通大學交通運輸研究所碩士論文
17、賴昆祺,民91,群體決策支援系統於公眾參與環境影響評估之研究,國立中山大學海洋環境及工程研究所碩士論文
18、魏秋建、張清亮、李永晃,1998『決策權重方法之分析比較』,中國工業工程學會年會論文集,342∼347頁
英文部分:
1、Ainscough, T. L. and DeCarlo, H. E. and Leigh, H. W. ”Building expert systems from the selling scripts of multiple experts,” The Journal of Services Marketing, Santa Barbara,1996
2、Boose, J. “Rapid acquisition and combination of knowledge from multiple experts in the same domain,” Future Computing Systems, Vol 1, 1987,pp:191-216
3、Delbecq, A. L. and Van de Ven, A. H. and Gustafson, D. H. “Group Techniques for Program Planning-a guide to nominal group and Delphi process,” Green Briar press, Wisconsin, 1975.
4、Feigenbaum, E. A. “Knowledge Engineering In The 1980s,” Dept. of Computer Science, Stanford University, Stanford, CA, 1982.
5、Gustafson, D. H. and Cats-Baril, W. L. and Alemi, F. “System to Support Health Policy Analysis-Theory, Models, and Uses,” Health Administration Press Ann Arbor, Michigan, 1992.
6、Grupe, F. H. “Case-based Reasoning Applying Past Experience to New Problems,” Information Systems Management, Spring, 1993, pp:77-80.
7、Gustafson, D. H. and Shukla, R. M. and Delbecq, A. L. and Walster, G. W. “A Comparative Study of Differences in Subjective Likelihood Estimates Made by Individuals, Interacting Groups, Delphi Groups, and Nominal Groups,” Organizational Behavior and Human Performance, Vol.9, 1973, pp:280-291.
8、Gaines, B. R. “Integration issues in knowledge supports systems,” International Journal of Man-Machine Studies,” 1989, pp:495-515
9、Hanachi, C. ,”A Cooperative Information System to Support Multi-Expert Systems Development,” Expert Systems with Application, Vol. 11, No. 4, 1996, pp:561-569.
10、Hwang, C. L. and Yoon, K. G. “Multiple Attribute Decision Marking- Method and Applications,” Spriner -Verlag Berlin Heidelberg New York, 1981.
11、Hwang, C. L. and Yoon, K.L. ,”Multiple Attribute Decision Making: Methods and Applications,” Springer Verlag, New York, 1981
12、Jeng, B.C. and Liang, T. P. “Fuzzy Indexing and Retrieval in Case-Based Systems,” Expert Systems with Application, Vol. 8, No. 1, 1995, pp:135-142.
13、Kazuo, W. and Holsappler, C. W. and Whinston, A. B. “Coordinator Support in a
Nemawashi Decision Process,” Decision Support System, April , Vol.8, No.2, 1992, pp:85-98.
14、Kolodner, J. L. “Case-based reasoning,” 1993
15、McGraw, K. L. and Briggs, K. H. “Knowledge Acquisition :Principles and Guidelines,” 1989
16、Ng , K. C. “Consensus in a Multi-Expert System,” Department of Computer Science University of Southern California Los Angeles, 1990.
17、Roy, B. and Vanderpooten, D. ”An overview on The European school of MCDA: Emergence, basic features and current works,” European Journal of Operational Research, Vol. 99, 1997, pp:26-27.
18、Salminen, P. and Hokkanen, J. and Lahdelma, R. “ Comparing multicriteria methods in the context of environmental problems, ” European Journal of Operational Research, Vol. 104, 1998, pp:485-496.
19、Van de Ven, A. H. and Delbecq, A. L. “Nominal versus Interacting Group Processes for Committee Decision-Making Effectiveness,” Academy of Management Journal, Vol.14, No.2, 1971, pp:203-212.
20、Zionts, S. “The State of Multiple Criteria Decision Making: Past、Present and Future,” Spriner-Verlag Berlin Heidelberg New York, 1992, pp:33~43
描述 碩士
國立政治大學
資訊管理研究所
90356032
91
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0090356032
資料類型 thesis
dc.contributor.advisor 林我聰zh_TW
dc.contributor.advisor Woo-Tsong Linen_US
dc.contributor.author (Authors) 陳信宏zh_TW
dc.contributor.author (Authors) Hsin-Hung Chenen_US
dc.creator (作者) 陳信宏zh_TW
dc.creator (作者) Hsin-Hung Chenen_US
dc.date (日期) 2002en_US
dc.date.accessioned 18-Sep-2009 19:34:22 (UTC+8)-
dc.date.available 18-Sep-2009 19:34:22 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2009 19:34:22 (UTC+8)-
dc.identifier (Other Identifiers) G0090356032en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/36778-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 90356032zh_TW
dc.description (描述) 91zh_TW
dc.description.abstract (摘要) 專家系統自1965年發展至今,其發展是與日遽增,在邁入二十一世紀這個新紀元,傳統的專家系統遭遇到不同以往的問題,不僅處理的問題複雜度提高之外,在建置系統的過程中需要更多專家提供其寶貴的意見,以期讓系統在處理問題的層面能更加寬廣及增進其彈性和效用。因此,多專家系統能夠解決傳統上單一專家先天上的限制。Gaines和Shaw於1989年在其論著中指出,利用一群專家的知識來發展專家系統其效益比單一專家來的更好。
      然而,在多專家的專家系統中會產生案例選取的衝突,過去大都依賴人為的經驗法則判斷。如此一來,不僅在處理的時間成本上產生耗損,其選取案例的公信力亦容易令人產生存疑。此外在相關的研究上,絕大多數都未對於此一衝突提出另外一套較具公正性的解決辦法。
      針對此一現象,本研究發現欲解決其中之案例衝突,可以藉由群體決策和多評準決策領域中尋求解決之辦法,透過本研究一連串的文獻蒐集與探討,得到Nemawashi決策模式可以加以導入應用,因此,本研究嘗試引用案例式推論(Case-Base Reasoning)、Nemawashi 決策模式,提出一個整合多專家的意見和解決其案例產生衝突的方法。
zh_TW
dc.description.abstract (摘要) Expert system has been in speeding development since 1965. With the advent of the 21st century, the traditional expert system is encountering problems different from the past. With the rising complexity of nowadays problems, it requires valuable opinions from more professionals in the construction of expert system. The multi-expert knowledge can not only broaden the scope in which the system handles problems, but also enhance the system’s flexibility and efficiency. Thus, multi-expert system outsmarts the conventional expert system which is restricted by the voice of a single expert. Gaines and Shaw in 1989 commented that the expert system was better quipped with a group of experts than with one single expert.
      Nevertheless, multi-expert system contains the problem of case conflict. To undermine the conflict, it is common for people to resort to experts’ judgments and their personal experiences. Consequently, the multi-expert system has the disadvantage of consuming time in the process of case selection. Moreover, the case selected out of this process may be unconvincing due to its overdependence on human decisions. As to the problem of case conflict, most of the researches related to multi-expert system do not propose other more objective solutions.
      Focus on the problem mentioned above, this study tends to solve case conflict through the use of Group Decision and Multiple Criteria Decision-Making (MCDM). After the collection and analysis of data, the study finds out that Nemawashi Decisions are effective in handling the problem of case conflict. Thus, this study attempts to apply Nemawashi Decisions in Case-Base Reasoning in order to combine opinions from different experts and to solve the case conflict in the multi-expert system.
en_US
dc.description.tableofcontents 目錄
     圖目錄 III
     表目錄 V
     第一章 緒論 1
     1.1 研究背景 1
     1.2 研究動機 2
     1.3 研究目的 2
     1.4 研究步驟與流程 3
     1.5 論文架構 4
     第二章 文獻探討 6
     2.1 專家系統 7
     2.2 案例式推論(CBR) 9
     2.3 群體決策技術 10
     2.3.1 互動式群體過程(Interacting Process) 11
     2.3.2 德菲法(Delphi Technique) 11
     2.3.3 名目群體技術(Nominal Group Technique, NGT) 12
     2.4 多評準決策 13
     2.4.1 多評準決策概述 14
     2.4.2 多評準決策意義與範疇 14
     2.4.3 準則權重決定方法 16
     2.4.4 多評準決策技術 19
     2.5 Nemawashi 決策系統 23
     第三章 研究方法與數學模式之建構 27
     3.1 研究架構 27
     3.2 模式架構與內容 28
     3.2.1 案例式推論 33
     3.2.2 Nemawashi決策模式 35
     3.3 數學模式運算過程說明 39
     3.3.1 案例式推論流程 39
     3.3.2 Nemawashi處理流程 43
     第四章 模式計算與系統建構 50
     4.1 模式計算 50
     4.1.1 範例介紹 50
     4.1.2 各項參數設定 51
     4.1.3 模式計算 53
     4.2 系統建構 58
     4.2.1 起使畫面 59
     4.2.2 專家知識建立 59
     4.2.3 案例式推論系統 61
     4.2.4 案例診斷 64
     4.3 資料分析 66
     第五章 結論與建議 69
     參考文獻 71
     中文部分: 71
     英文部分: 73
     附錄一:案例庫的相關設定資料 76
     附錄二:案例庫中的處理規則內容 77
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0090356032en_US
dc.subject (關鍵詞) 案例式推論zh_TW
dc.subject (關鍵詞) 群體決策zh_TW
dc.subject (關鍵詞) 多評準決策zh_TW
dc.subject (關鍵詞) Case-Base Reasoningen_US
dc.subject (關鍵詞) Group Decisionen_US
dc.subject (關鍵詞) Multiple Criteria Decision-Makingen_US
dc.subject (關鍵詞) Nemawashien_US
dc.title (題名) 解決案例式推論中多專家間知識衝突之模式探討zh_TW
dc.title (題名) A Solution Model for Knowledge Conflict among Multiple Experts in Case Base Reasoningen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 中文部分:zh_TW
dc.relation.reference (參考文獻) 1、王偉彥、諸逸之、范護釋編著,1996,專家系統應用與發展工具-CLIPS,全華科技圖書股份有限公司zh_TW
dc.relation.reference (參考文獻) 2、何秉衡,民89,政府採購法下資訊技術委外決策支援系統之研究,銘傳大學資訊管理研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 3、林逸群,民91,應用專家系統於中央空調系統之故障診斷,台北科技大學電機工程研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 4、馮釗炫,民89,多評準決策技術應用於電腦模擬分析之研究,中華大學工業管管理研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 5、張顯洋、陳志菁,1994『Nemawashi 決策過程中協調者支援系統雛型之建立』,管理與系統,第一卷.第二期:215∼242頁zh_TW
dc.relation.reference (參考文獻) 6、張維修,民91,應用異質性群體決策模式於品質變異特採之研究,朝陽科技大學工業工程與管理研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 7、陳一傑,民88,應用模糊理論於多專家案例式推理之研究,元智大學工業工程研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 8、曾憲雄、黃國禎、江孟峰、蔡昌均、林耀聰編著,2002,專家系統導論/工具/應用,台北,松岡電腦圖書資料股份有限公司zh_TW
dc.relation.reference (參考文獻) 9、陳禹辰、歐陽崇榮編著,1991,決策支援與專家系統,台北,全華科技圖書股份有限公司zh_TW
dc.relation.reference (參考文獻) 10、曾國雄、蕭再安、鄧振源,1988,『多評準決策方法之分析比較』,科學發展月刊,第十六卷.第七期:1008∼1017頁zh_TW
dc.relation.reference (參考文獻) 11、郭天耀,民90,以案例式推理做生產力診斷,成功大學工業管理研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 12、詹國良,民91,案例式推理於企業信用評等決策之輔助應用,成功大學工業管理研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 13、楊振興,民91,應用案例式推理建構機車維修管理系統,台北科技大學生產系統工程與管理研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 14、廖世義,民90,臺灣製造業企業功能對生產力績效之影響,成功大學工業管理研究所博士論文zh_TW
dc.relation.reference (參考文獻) 15、鄭慧萍,民91,利用小群體決策技術建構ISO 14000 系統之環境績效評估模式,元智大學工業工程與管理研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 16、劉至得,民86,中正國際機場至台北捷運系統路線方案評估,國立交通大學交通運輸研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 17、賴昆祺,民91,群體決策支援系統於公眾參與環境影響評估之研究,國立中山大學海洋環境及工程研究所碩士論文zh_TW
dc.relation.reference (參考文獻) 18、魏秋建、張清亮、李永晃,1998『決策權重方法之分析比較』,中國工業工程學會年會論文集,342∼347頁zh_TW
dc.relation.reference (參考文獻) 英文部分:zh_TW
dc.relation.reference (參考文獻) 1、Ainscough, T. L. and DeCarlo, H. E. and Leigh, H. W. ”Building expert systems from the selling scripts of multiple experts,” The Journal of Services Marketing, Santa Barbara,1996zh_TW
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