臺灣博碩士論文加值系統

近年來國內盜撥電話的情形日益嚴重，盜撥國際電話已是智慧型侵權行為，且所產生之不明電話費用，造成電信公司相關大的損失與困擾。
在美國及先進國家，電話通信網路的盜打行為也相當平常，業者損失更是慘重，估計全球因盜打電話一年至少損失上百億美元。而國內電信公司每年僅因線路盜打及損失的話費就高達數億元，而相關的追蹤，退費等相關作業的成本更是數倍於盜打損失的話費。
Jess 提供了一個豐富和有彈性的規則知識庫的系統。自從 Java 發展以來，跨平台、可擴充和安全性以及可以和其他 Java 程式碼和應用程式結合的特性一直是 Java 的優點。而 Jess 及 FuzzyJ 的規則更是發展知識管理時陳述事實的選擇的極適合理由。本論文的研究方向為研究使用 Jess、模糊 Jess、模糊工具箱而具有模糊數、模糊集合、模糊規則功能的專家系統,使用所謂的事實和規則之 實作；並加入模糊規則次數判斷可能為盜撥之狀況，來提出警告供使用者進行分析時參考，減少電信公司之損失。

It is a serious problem day by day of telecommunication frauds by dialing the telephone at home in recent years. Frauds over international calls have been an intelligent tort that the telecommunication company is correlated with great income loss by unidentified telephone expenses.
In the United States and other developed countries, the fraud of telephone communication network is common and it costs great loss to telecommunication companies. It is estimated by telecommunication companies that fraudulent calls on somebody else''s expense without any charge through illegal means are about at least tens of billion US dollars per year worldwide. In Taiwan, the lost cost due to telecommunication fraud is near hundreds of million NT dollars. The cost to track frauds and process wrongly charged telephone bills is even higher the lost of frauds.
Jess, the Java Expert System Shell, provides a rich and flexible environment for creating rule-based systems. Since it is written in Java, it provides cross platform characteristics, extensibility, safety and simple integration with other Java code or applications. The rules of Jess and FuzzyJ allow one to build systems that reason about knowledge management that is expressed as facts. This paper describes the Jess, FuzzyJ and FuzzyToolkit that allows one to express fuzzy concepts using facts, fuzzy set, fuzzy number, fuzzy variables, fuzzy set, and fuzzy rules. A set of fuzzy rules are used to determine the times of possible frauds and to raise alarm for users reference. It may greatly reduce lost of telecommunication companies.

目錄
Acknowledgement---i
中文摘要---ii
Abstract---iii
第一章 緒論---1
第二章 知識管理簡介---4
2.1 模糊理論---4
第三章 Java和Jess於專家系統和知識庫的應用---8
3.1 專家系統功能---8
3.2 專家系統推論引擎---10
3.2.1 Jess 的基本組成和知識表示---10
3.2.2 Jess的推理機制---11
3.2.3 開發環境和文檔支援---11
3.2.4 Jess 的進一步擴充— FuzzyJ Toolkit---11
第四章 盜打方式分析及基本運作原理---12
第五章 系統實作及結果---18
5.1 交接箱電話進出線分析---20
5.2 通話時段及時間分析---21
5.3 轉接電話分析---22
5.4 用戶類別分析---22
5.5 權數的模糊規則---22
5.6 執行結果---25
參考文獻---30
Biography---34

[1]王韻儼，"爪哇的記憶體管理"，電信研究雙月刊，第33卷，第4期，521-544頁，民國92年8月。

[2]林龍樹及簡利曲，"運用模糊集合論探討GPRS 服務項目需求之最適組合"， 電信研究雙月刊，第34卷，第1期，99-116頁，民國93年2月。

[3]柯文周，"建構以專家系統之推論引擎為基之工作流程管理系統"， 國立清華大學工業工程與工程管理學系碩士論文，民國92年。

[4]柯燕輝，"課堂上網路學習情意評量管理機制"，國立臺灣師範大學工業教育學系在職進修碩士班，民國90年。

[5]張弘毅、鄭欣蓉、蕭佳芳、陸祥麟、王俊傑、熊金源、吳麗秀、蔡劍峰及蔡明怡，"SDH 自動供裝系統"，電信研究雙月刊，第34卷，第3期，233-270頁，民國93年6月。

[6]陳永清、廖昌潭、李鎮宇及陳英哲，"CDRS 支援UMS 暨BBRAS 應用之研究" ，電信研究雙月刊，第32卷，第5期，609-621頁，民國91年10月。

[7]陳志豪，陳英哲及陳永清，"各交換系統CDR 發展與XML 之結合"，電信研究雙月刊，第34卷，第2期，155-178頁，民國93年4月。

[8]陳彥宏、陳志豪、倪豫英及廖淑惠，"全區市話交換機CDR 的整合性監測與分析"，電信研究雙月刊，第32卷，第4期，99-116頁，民國91年8月。

[9]黃益良、許稚敏及許乃斌，"ATM架構之多重服務平台軟體系統設計"，電信研究雙月刊，第34卷，第3期，303-319頁，民國93年6月。

[10]簡嘉建，"建構在語意網上之分散式電子化學習物件分享機制：以「物料需求規劃」之學習為例"，國立清華大學工業工程與工程管理學系碩士論文，民國91年。

[11]關銘，"以OWL DL 及SWRL 為基礎建置推論雛形系統- 以大學排課問題"， 中原大學資訊管理研究所碩士論文，民國91年。

[12]A. Deshmukh, "A Rule Based Fuzzy Reasoning System for Assessing the Risk of Management Fraud", IEEE International Conference on Computational Cybernetics and Simulation, Vol. 1, pp 669-673, Oct 1997.

[13]A. Konar and A. K. Mandal, "Uncertainty Management in Expert Systems Using Fuzzy Petri Nets", IEEE Transactions on Knowledge and Data Engineering, Vol. 8, issue 1, pp. 96-105, February 1996.

[14]A. Moms and A. Steele, "FuzzyCLIPS and Neuro-fuzzy Term Rewriting for Power Network Control", IEEE Annual Meeting of the North American on Fuzzy Information Processing Society, pp. 566-571, June 2002.

[15]B. Berstel, "Extending the RETE Algorithm for Event Management", IEEE Ninth International Symposium on Proceedings of Temporal Representation and Reasoning, pp. 49-51, July 2002

[16]B. Stefano and F. Gisella, "Insurance Fraud Evaluation: A Fuzzy Expert System", IEEE International Fuzzy Systems Conference, pp. 1491-1494, 2001.

[17]D. L. Hudson and M. E. Cohen, "Fuzzy Logic in Medical Expert Systems", IEEE Engineering in Medicine and Biology Magazine, Vol. 13, issue 5, pp. 693-698, 1994.

[18]Daniel Pop, Expert System Creator: A Visual Tool for Expert Systems development, Optimal Solution Software, 2002.

[19]E. Friedman-Hill, Jess In Action, Manning Publications Co., October 2003.

[20]E. Friedman-Hill, Jess, The Expert System Shell for the Java Platform, Ermore, CA, Unlimited Release First Printed, 1997.

[21]E. Landre, Rule Engines-Changing the programming paradigm, JavaZone, 2003.

[22]G. Reese, Database Programming with JDBC and Java, O''Reilly, 2001.

[23]H. Eriksson, "Using Jess Tab to integrate Protege and Jess Intelligent Systems", IEEE Intelligent Systems Processing, pp. 43-50, 2003.

[24]H. Ying and W. Siler and D. Tucker, "A new type of fuzzy controller based upon a fuzzy expert system shell FLOPS", 1988 IEEE AI ''88 the International Workshop on Proceedings of Artificial Intelligence for Industrial Applications, pp. 382-386, May 1988.

[25]I.-G. Chun and I.-S. Hong, "The Implementation of Knowledge-based Recommender System for Electronic Commerce Using Java Expert System Library", ISIE 2001. IEEE International Symposium on Industrial Electronics, Vol. 3, pp. 1766-1770, June 2001.

[26]J. Brittain and I. F. Darwin, Tomcat : The Definitive Guide, O''Reilly, January 2004.

[27]J. Hunter and W. Crawford, JAVA Servlet Programming, O''Reilly, March 2002.

[28]J. Jovanovi and D.Gaevi and V. Devedi, A GUI for Jess: Expert Systems With Applications, Vol. 26, Issue 4, pp. 625-637, 2004.

[29]J. Pan and G. N. Desouza and A. C. Kak, "FuzzyShell:A Large-Scale Expert System Shell Using Fuzzy Logic for Uncertainty Reasoning", IEEE Transactions on Fuzzy Systems, Vol. 6, issue 4, pp. 563-581, November 1998.

[30]L. O. Hall, "Rule chaining in fuzzy expert systems", IEEE Transactions on Fuzzy Systems, Vol. 9, Issue 6, pp. 822-828, 2001.

[31]R. Orchard", "Fuzzy Reasoning in Jess: The FuzzyJ Toolkit and FuzzyJess", ICEIS Third International Conference on Enterprise Information Systems, pp. 533-542, July 2001.

[32]R. V. D. Lans, Introduction to {SQL} : Mastering the Relational Database Language, Addison-Wesley, 2000.

[33]S. G. Romaniuk and L. O. Hall, "Fuzzy Connectionist Expert Systems", IJCNN International Joint Conference on Neural Networks, Vol. 2, pp. 629, June 1989.

[34]W. A. Kwong and K. M. Passino and E. G. Laukonen and S. Yurkovich, "Expert Supervision of Fuzzy Learning Systems for Fault Tolerant Aircraft Control", IEEE on Proceedings, Vol. 83, issue 3, pp. 466-483, March 1995.

[35]Y.-H. Lee and S.-I. Yoo, "A Rete-based Integration of Forward and Backward Chaining Inferences Intelligent Control", IEEE International Symposium on Proceedings, pp. 611-616, August 1995.

[36]Y.-Z. Lu and M. He and C.-W. Xu, "Fuzzy Modeling and Expert Optimization Control for Industrial Processes", IEEE Transactions on Control Systems Technology, Vol. 5, issue 1, pp. 2-12, January 1997.