English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 110940/141868 (78%)
Visitors : 47578664      Online Users : 539
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/31109
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/31109


    Title: 運用混合式決策模式在個人化產品薦購之研究
    Authors: 郭俊佑
    Contributors: 曾淑峰
    郭俊佑
    Keywords: 資料探勘
    灰關聯分析
    層級分析法
    灰色預測
    Date: 2002
    Issue Date: 2009-09-14 09:16:12 (UTC+8)
    Abstract: 電子商務,這是在90年代才興起的經營模式。在過去的社會演進裡,人類從最早的農業經濟進步為製造經濟,一切以產品、品質為出發;隨著知識時代的來臨,製造不再只是一味大量生產,更為重要的是站在顧客角度思考,而慢慢從製造經濟轉變為服務經濟,以顧客的滿意為重。
    以滿足顧客的需求來看,網路商店必須具備高效率、可授權的、動態的且反應速度快的特性。消費者需要個人化資訊來做決定,然而,這似乎都是現有電子商務網站所欠缺的。
    本研究將會採用資料探勘、灰關聯分析、層級分析法與灰色預測來達成客製化的行銷策略、產生客觀的產品排名與客製化的產品排名,並加以預測客戶的喜好。
    E-commerce, it’s a new business model from 90’s. On the social evolution track, from agriculture economy to manufacture economy, product and quality is the spotlight. With the coming of knowledge era, manufacturing is not just mass-productive, this era’s spotlight is the customer satisfaction. The evolution track had moved from manufacture economy to service-oriented economy.
    If sellers want to meet customers’ need, it should had some features, such as efficient, empower, dynamic, quick response, and so forth. Customers need tailor-made information to make the purchasing decision. However, nowadays internet stores cannot meet this need.
    This research will utilize data-mining, grey relation analysis, analysis hierarchy process and grey perdition to draw up tailor-made marketing strategies, generating objective product ranking and tailor-mage product ranking, and predict customers’ preference trend.
    Reference: 中文文獻
    1. 方世榮,1996,行銷學,臺北:三民書局
    2. 吳漢雄、鄧聚龍、溫坤禮,,1996灰色分析入門,高立出版
    3. 林文修,”Data Mining探索(上)”,叡陽資訊經營決策論壇,第13期
    4. 林文修,”Data Mining探索(下)”,叡陽資訊經營決策論壇,第14期
    5. 林昌本,民國88年,灰色系統的應用及其使用於預測之研究,國立台灣科技大學博士論文
    6. 史開泉、吳國威、黃有評,灰色資訊關係論,1994,臺北:全華書局
    7. 江明儒,2002/5/8,《DigitalObserver數位觀察者》第121期
    8. 曾守正,1997年12月,”從想像中找出事實:如何讓Data Mining成為企業的一部分?”,資訊與電腦,頁82-84
    9. 曾柔鶯,1998,現代行銷學,臺北:華泰書局
    10. 陳繁興,灰關聯分析在教師教學評量之應用,灰色系統學刊,3卷2期,127-135
    11. 陳弘旭、張偉哲,1998,最佳會灰色模型 GM(1,1)之研究,灰色系統學刊,1卷2期,141-146業
    12. 謝清佳,吳琮璠,1998,資訊管理理論與實務,臺北:智勝文化
    13. 蘇隄,”資料倉儲的應用與技術”,資訊與電腦,1998年2月,頁78-91
    14. 鄧聚龍、郭洪編著,1996,『灰預測原理與應用』,全華科技圖書
    15. 陳繁雄、溫坤禮,1997年,『應用灰關聯分析於國產1600c.c汽車銷售量之評估』,灰色系統理論與應用研討會, p.193 ~ p.195
    16. 溫坤禮、呂輝宗,1997年,『應用加權平均、模糊綜合評估及灰關聯分析於學生反應調查表之研究』,灰色系統理論與應用研討會,p.250 ~ p.260
    17. 鄭群星,民國86年,基於類神經網路與灰色模型的容錯系統可靠度評估,國立台灣科技大學博士論文
    18. 鄧聚龍,1988,灰色系統基本法,華中理工大學出版社
    19. 聯強國際,http://www.synnex.com.tw
    20. 手機王之手機顧問,http://www.sogi.com.tw/zplane/newsogi_1.0/
    21. 湯玲郎、施並洲,Mar 2001,灰關聯分析、類神經網路、案例推理法於財務危機預警模式之應用研究, 中華管理評論 Vol.4, No.2, pp.25∼37
    22. 戴建耘、陳熙灝、黃釗田、崔灝東,2000,灰色預測在空氣品質長期趨勢分析之應用,灰色系統學刊,第五期
    英文文獻
    1. Adrianns, P. & Zantinge, D., Data Mining. Addison-Wesley, 1996
    2. Agrawal, C. & Yu, P., "A New Framework for Itemset Generation", Proceedings of the ACM PIOS. 1998.
    3. Agrawal, R., Bayardo,J. and Srikant, R., Athena: Mining-based Interactive Management of Text Databases, http://www.datamining.org.tw/doc/similar/Athena%20Mining-based%20Interactive.pdf, 1993
    4. Chakrabarti,S., Dom,B., Agrawal,R., Raghavan, P., Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases, http://www.datamining.org.tw/doc/similar/Using%20Taxonomy,%20Discriminants,%20and.pdf, 1994
    5. Lent, B., Agrawal,R., Srikant, R., Discovering Trends in Text Databases, http://www.datamining.org.tw/doc/similar/Discovering%20Trends%20in%20Text.pdf, 1997
    6. Brin, S., Motwani, R., and Silverstein, C., “Beyond Market Baskets: Generalizing Association Rules to Correlations.”, Proceedings of the ACM SIGMOD International Conference on Management of Data. 1997, pp. 265-276.
    7. Brin, S., Motwani, R., Ullman, J.D., and Tsur, S., “Dynamic Itemset Counting and Implication Rules for Market Basket Data.”, Proceedings of the ACM SIGMOD International Conference on Management of Data. May 1997, pp. 255-264.
    8. Chen, F. S., Chang, T.C., Liao, H.H., "The Application of the Grey Relation Analysis on Teacher Appraisal", 2000 IEEE International Conference on System, Man and Cybernetics. Nashville, TN, U.S.A, 8-11 October, 2000
    9. Deng, J. , "Gray Linear Programming International Conference on Information Processing and Management of Uncertainty in Knowledge-Based System", Paris, 1986
    10. Deng, J., "Introduction to grey system theory", Journal of Grey System, Vol.1, 1989, pp.1-24
    11. Deng, J., Grey System, China`s Future and Development, no. 4, Sep. 1984.
    12. Deng, J., "Properties of Relational Space for Grey System", Grey System, Beijing, China Ocean Press, 1988.
    13. Deng, J., "Generating Space of Grey System Theory", Grey System, Beijing, China Ocean Press, 1988.
    14. Deng, J., "Introduction to Grey Systems Theory", The Journal of Grey System, vol. 1 no.1, 1989.
    15. Deng, J., "Grey Information Space", The Journal of Grey System, vol. 1, no.2, 1989
    16. Eamonn Sullivan, A crash course in e-commerce, http://techupdate.zdnet.com/techupdate/stories/main/0,14179,2646843,00.html, 2001/4/10
    17. ExpertChoice , AHP Software, http://www.expertchoice.com/
    18. Fayyad, U., Shapiro, G.P., Smyth, P., "The KDD process for extracting useful knowledge from volumes of data, Communications of the ACM", Volume 39, Issue 11, November 1996, p27~34
    19. Feng, C. M., Li, S. L., "Exploring AHP Evaluation Method from Decision-Making Habit", Chung Hua Journal of Management, Vol.1 No.1 March 2000, pp21-26.
    20. Huang, H. C., & Wu, J. L., "Grey system theory on image processing and lossless data compression for HD- media", Journal of Grey Theory & Practic e, vol. 3, no. 2, 1993, pp. 9-15.
    21. Huang, Y. P., Chu, H. C., and Hisa, K. H., "Dynamic Grey Modeling: Theory and Application", The First National Symposium on Grey System Theory and Its Application, Taiwan, 1996, pp. 47-56.
    22. Huang, Y.F., Wen, J.C., and Wen, J.H., "An Improved Grey Prediction on the Rayleigh Fading Estimation of Mobile Communications", Journal of the Chinese Grey System Association, vol. 1, no. 2, 1998, pp. 147-157.
    23. Kennedy, L., Lee, Y., Benjamin, V. , Christopher D. Reed, Richard, P. Lippmann, Unica Technologies Inc, Staff Unica Technology Incorpor, Solving Data Mining Problems Through Pattern Recognition, Prentice Hall
    24. Lu, M. H., Madu, C. N., Kuei, C. H., and Winokur, D., "Integrating QFD, AHP, and Benchmarking in Strategic Marketing", Journal of Business and Industrial Marketing, Vol. 9, No 1, 1994, pp41-50.
    25. Michelin Tire Selector, http://michelin.tiredatabase.com/tireselector/michelin/index.php?Langue=eng
    26. Murdocca, J., Heuring, P., Principles of Computer Architecture, Prentice Hall, 2000/05/15
    27. Park,J.S., Chen,M.S., Yu,P.S., ”Using a Hash-Based Method with Transaction Trimming and Database Scan Reduction for Mining Association Rules”, IEEE Trans. on Knowledge and Data Engineering. October 1997a, Vol. 9, No. 5, pp. 813-825.
    28. Park,J.S., Chen,M.S., Yu,P.S., ”Data Mining:An overview from Database Perspective”, IEEE Trans. on Knowledge and Data Engineering. December 1996, Vol. 8, No. 6, pp. 866-883.
    29. Park,J.S., Chen,M.S., Yu,P.S., ”Mining Association Rules with Adjustable Accuracy”, Proc. Of the ACM 6th Intern’l Conf. on Information and Knowledge Management. November 10, 1997b, pp. 151-160.
    30. Park,J.S., Chen,M.S., Yu,P.S., ”An Effective Hash Based Algorithm for Mining Association Rules”, Proc. Of ACM SIGMOD. May 23-25, 1995, pp. 175-186.
    31. Saaty & Robert, The Analytic Hierarchy Process. 1983
    32. Saaty, T.L., "Multicriteria Decision Making: The Analytic Hierarchy Process", RWS Publications, Pittsburgh, PA, 1990
    33. Saaty, T.L., "Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process", RWS Publications, Pittsburgh, PA., 1994
    34. Saaty, T. L., "Decision for Leaders: The Analytic Hierarchical Process", 2nd ed. University of Pittsburgh Press, 1996.
    35. Saaty, T. L., "Fundamental of Analytic Network Process", ISAHP 1999, Kobe, Japan, August 12-14, 1999, pp1-14.
    36. Supplier Selection Using the Analytical Hierarchy Process (AHP), http://www.pom.edu/pom/PowerPoint_Slides/ch12/sld010.htm
    37. Wang, T. P., "The research of building core technology in manufacturing industry of Taiwan with new Model",The First Conference on Asia Pacific Management Review,June 1999,pp851-856.
    38. Weiss, J., 10 questions on e-commerce,http://www.builder.com/Business/Ecommerce20/?tag=st.bl.3885.plbl, 2000/8/31
    39. Wen, J.-H. & Huang, Y.F. , "The Application of Grey Prediction on the Rayleigh Fading Estimation of Mobile Communications", Journal of Grey System, no. 3, 1999, pp. 245-255. (SCI)
    40. Wen, J.-H. , Huang, Y.F., Chen, J.L., & Wen, J.C.,"Comments on the Minimum Number of Data Required for GM(1,1) Modeling", Journal of Grey System, no. 3, 1999, pp. 229-243. (SCI)
    Description: 碩士
    國立政治大學
    資訊管理研究所
    90356001
    91
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0903560011
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML2119View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback