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題名 專家系統中的不確定性
Uncertainty in expert systems作者 黃文琦 貢獻者 李子壩
黃文琦日期 1991
1990上傳時間 2-五月-2016 17:02:46 (UTC+8) 參考文獻 一、中文部份 [1] 梁定澎(譯)，(民國77,10,第二版) 人工智慧學，東華書局 [2] 李家?(編譯)，(民國76,4,初版)人工智慧與專家系統，松崗電腦圖書資料有限公司 [3] 孫家麟，(民國77, 10,第二版)專家系統之理論與程式設計，松崗電腦圖書資料有限公司 [4] 褔麥科技研究開發部編譯，(民國76，10，初版)專家系統規劃，松崗電腦圖書資料有限公司 [5] 李令傑，(民國79,8)"專家系統與MYC IN"，醫院與電腦，31 二、英文部份 [6]William A. Gale (1984),Artificial Intelligence & statistic [7]Glenn Shafer (1976),A Mathematical theory of evidence [8]Howard E. Shrobe & the American Association for Artificial Intelligence. (1989),Exploring Artificial Intelligence survey Talksfrom the National Conference on Artificial Intelligence. [9]Lotfi A.Zadeh, (1984 fall),“Reviews of Books", The AI magazine, P81-P83 [10]Jean Gordon & Edward H.Shortliffe (1985). "A -method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space", Artificial Intelligence,v26,P323-P357 [11]Lotfi A.Zadeh. (1986 summer)."A simple veiw of the Dempster-shafer Theory of Evidence and its Implication for the Rule of combination". The AI magazine.P85-P90 [12]Prakashp. Shenoy and Glenn Shafer. (986)."Propogating Belief Functions with Local Computations", IEEE.P43-P52 [13] Judea Pearl, (1986)"On Evidential Reasoning in a Hieerarchy of Hypotheses", Artificial Intelligence. v28.P9-P15 [14]Glelnn Shafer & Roger Logan. (1987)."Implementing Dempster`s Rule for Hierarchical Evidence" Artificial Intelligence. v33,P271-P298 [15] Harry E. Stephanou & Andrew P. Sage, (1987) , "Perspectives on Imperfect Information Processings",IEEE Transactions on Systems. Man, And Cybernetics. v.SMC-17.N05.P780-P798 [16] Dennis V. Lindley, (1987),"The Probabity Approach to the Treatment of Uncertainty in Artificial Intelligence and Expert Systems ".Statistical Science,V2.No1,P17-P24 [17]Henry E. Kyburg,Jr, (1987),"Bayesian and Non-Bayesian Evidential Updating", Artificial Intelligence. v31.P271-P293 [18]Chia-Hoang Lee. (1988 )."A Comparsion of Two evidential Reasoning Schemes",Artificial Intelligence.v35,P127-p134 [19]Rothman,Peter, (1989),"Selecting an Uncertainty Management System",AI Expert.v4,N07.P56-P63 [20]Frans Voorbraak, (1989),"A computationally efficient approximation of DempsterShafer theory", Int.J.Man-Machine Studies.v30,P525-P536. [21]Ng.Kenng-Che & Abramson.Bruce. (1990)."Uncertainty management in expert systems".IEEEE Expert.v5.No2.P29-P49 [22] Pekka Orponen. (1990),"Dempster`s Rule of Combination is #p-complete",Artificial Intelligence.v44,P245-P253 [23]Spillman.richard, (1990.5 ) ,"Manage uncertainty with belief functions",AI Expert, v5,No5,P44-P50 [24]Minasi,Mark, (1990,6 ) ."Exhibting Uncertainty”. AI Expert. v5. No6. P13-P15 [25] Frans Voorbraak. (1991) ,"On the justification of dempster`s rule of combination", Artificial Intelligence. v48. P171-197 描述 碩士
國立政治大學
統計學系資料來源 http://thesis.lib.nccu.edu.tw/record/#B2002005028 資料類型 thesis dc.contributor.advisor 李子壩 zh_TW dc.contributor.author (作者) 黃文琦 zh_TW dc.creator (作者) 黃文琦 zh_TW dc.date (日期) 1991 en_US dc.date (日期) 1990 en_US dc.date.accessioned 2-五月-2016 17:02:46 (UTC+8) - dc.date.available 2-五月-2016 17:02:46 (UTC+8) - dc.date.issued (上傳時間) 2-五月-2016 17:02:46 (UTC+8) - dc.identifier (其他 識別碼) B2002005028 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/89641 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 統計學系 zh_TW dc.description.tableofcontents 第一章 緒論. . . . . . . . . . . . . . . . . . . . . . . 1 第一節 研究動機與目的. . . . . . . . . . . . . . 1 第二節 研究範圍. . . . . . . . . . . . . . . . . 2 第三節 本文架構. . . . . . . . . . . . . . . . . .. 3 第二章 Dempster-Shafer 證據理論. . . . . . . . . . . . . . . . . 4 第一節 Dempster 上下限機率之觀念. . . . . . . . . . . . . . . . . . . . . . . . 4 第二節 D-S理論之名詞定義與公式介紹. . . . . . . . . . . . . . . . . . . . . . . 7 第三節 Dempster 的組合法則. . . . . . . . . . . . . . . . . . . . . . . . 13 第四節 D-S理論之相關定理與性質. . . . . . . . . . . . . . . . . . . . . . .24 第三章 Barnett方法. . . . . . . . . . . . . . . . . . . . . . .30 第一節 Barneet 方法之介紹. . . . . . . . . . . . . . . . . . . . . . .30 第二節 Barnett 公式之證明. . . . . . . . . . . . . . . . . . . . . . .35 第四章 Gordon & Shortliffe 近似方法. . . . . . . . . . . . . . . . . . . . . . . 39 第一節 Gordon-Shortliffe 近似方法之介紹. . . . . . . . . . . 39 第二章 Gordon-Shortliffe公式之證明. . . . . . . . . . . . . . . . . . . . . . .46 第五章 Shafer & Logan方法. . . . . . . . . . . . . . . . . . . . . . .50 第一節 與S－L演算法相關之定義與定理. . . . . . . . . . . . . . . . . . . . . . . 50 第二節 S-L方法之介紹. . . . . . . . . . . . . . . . . . . . . . . 59 第三節 S-L公式之證明. . . . . . . . . . . . . . . . . . . . . . . 64 第六章 結論. . . . . . . . . . . . . . . . . . . . . . .77 參考文獻. . . . . . . . . . . . . . . . . . . . . . . . . . . 78 zh_TW dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#B2002005028 en_US dc.title (題名) 專家系統中的不確定性 zh_TW dc.title (題名) Uncertainty in expert systems en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 一、中文部份 [1] 梁定澎(譯)，(民國77,10,第二版) 人工智慧學，東華書局 [2] 李家?(編譯)，(民國76,4,初版)人工智慧與專家系統，松崗電腦圖書資料有限公司 [3] 孫家麟，(民國77, 10,第二版)專家系統之理論與程式設計，松崗電腦圖書資料有限公司 [4] 褔麥科技研究開發部編譯，(民國76，10，初版)專家系統規劃，松崗電腦圖書資料有限公司 [5] 李令傑，(民國79,8)"專家系統與MYC IN"，醫院與電腦，31 二、英文部份 [6]William A. Gale (1984),Artificial Intelligence & statistic [7]Glenn Shafer (1976),A Mathematical theory of evidence [8]Howard E. Shrobe & the American Association for Artificial Intelligence. (1989),Exploring Artificial Intelligence survey Talksfrom the National Conference on Artificial Intelligence. [9]Lotfi A.Zadeh, (1984 fall),“Reviews of Books", The AI magazine, P81-P83 [10]Jean Gordon & Edward H.Shortliffe (1985). "A -method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space", Artificial Intelligence,v26,P323-P357 [11]Lotfi A.Zadeh. (1986 summer)."A simple veiw of the Dempster-shafer Theory of Evidence and its Implication for the Rule of combination". The AI magazine.P85-P90 [12]Prakashp. Shenoy and Glenn Shafer. (986)."Propogating Belief Functions with Local Computations", IEEE.P43-P52 [13] Judea Pearl, (1986)"On Evidential Reasoning in a Hieerarchy of Hypotheses", Artificial Intelligence. v28.P9-P15 [14]Glelnn Shafer & Roger Logan. (1987)."Implementing Dempster`s Rule for Hierarchical Evidence" Artificial Intelligence. v33,P271-P298 [15] Harry E. Stephanou & Andrew P. Sage, (1987) , "Perspectives on Imperfect Information Processings",IEEE Transactions on Systems. Man, And Cybernetics. v.SMC-17.N05.P780-P798 [16] Dennis V. Lindley, (1987),"The Probabity Approach to the Treatment of Uncertainty in Artificial Intelligence and Expert Systems ".Statistical Science,V2.No1,P17-P24 [17]Henry E. Kyburg,Jr, (1987),"Bayesian and Non-Bayesian Evidential Updating", Artificial Intelligence. v31.P271-P293 [18]Chia-Hoang Lee. (1988 )."A Comparsion of Two evidential Reasoning Schemes",Artificial Intelligence.v35,P127-p134 [19]Rothman,Peter, (1989),"Selecting an Uncertainty Management System",AI Expert.v4,N07.P56-P63 [20]Frans Voorbraak, (1989),"A computationally efficient approximation of DempsterShafer theory", Int.J.Man-Machine Studies.v30,P525-P536. [21]Ng.Kenng-Che & Abramson.Bruce. (1990)."Uncertainty management in expert systems".IEEEE Expert.v5.No2.P29-P49 [22] Pekka Orponen. (1990),"Dempster`s Rule of Combination is #p-complete",Artificial Intelligence.v44,P245-P253 [23]Spillman.richard, (1990.5 ) ,"Manage uncertainty with belief functions",AI Expert, v5,No5,P44-P50 [24]Minasi,Mark, (1990,6 ) ."Exhibting Uncertainty”. AI Expert. v5. No6. P13-P15 [25] Frans Voorbraak. (1991) ,"On the justification of dempster`s rule of combination", Artificial Intelligence. v48. P171-197 zh_TW
