Title

線上分析系統運用於住宅產品模糊分類模式之研究

Translated Titles

The Application of OLAP Technology on the Model of Housing Product Fuzzy Classification

DOI

10.6375/JHS.200108.0107

Authors

朱國明(Kao-Ming Chu)

Key Words

住宅產品 ; 模糊分類 ; 線上分析系統 ; housing product ; fuzzy classification ; online analytical processing

PublicationName

住宅學報

Volume or Term/Year and Month of Publication

10卷2期(2001 / 08 / 01)

Page #

107 - 125

Content Language

繁體中文

Chinese Abstract

本研究採用隸屬度的觀念,發展新的模糊集群分析法來建構市場區隔,再利用模糊產品區隔與建商資源整合觀念發展產品分類評估模式,並透過線上分析系統以提供建商能快速的回應市場的變動,以作為建設公司推案產品之規劃及評估之依據,透過模式可分析不同產品組群之差異及結構狀況,此外亦可呈現市場規模大小的動態性,可供業者針對其目標市場,擬定動態產品區隔差異化的行銷策略。 最後,本文針對大高雄地區十五個住宅個案產品進行實證研究,得知以下的結果: (一)本研究所發展的新模糊集群分析法,不但可以真正表現出市場的原貌與內涵;亦可測試出消費者的忠誠度問題。 (二)就產品市場而言,產品皆呈現供過於求的現象;而依據個案在各區隔之隸屬程度,可尋找出該產品的再定位軌跡,並可依據其移動方向與位置訂定合適的行銷策略。

English Abstract

In this study, we adopt the concept of membership degree to develop the new fuzzy cluster analytical method for the market segmentation, and solve the problem caused by the traditional hard classify. We take one step ahead to integrate the product segmentation and the company resources, and develop the evaluative model of product classification for the base of planning and evaluating the residence house of construct company. OLAP can improve the productivity of corporate decision makers through consolidation, conversion, transformation, and integration of operational data, and supports online analytical processing. The model is based on market segmentation for researching the attributions of residence house to look for the differences between the groups and its construction condition. It will be good for industries to draw up the marketing strategies of dynamic product segmentation for their target market. The findings are as follow: 1. We adopt the fuzzy cluster method and attempt to combine a new compactness to build market segmentation in order to address the fuzziness among the group boundaries. Through membership grade, we depict the reality of the market, which lies between integers and real number. The structural stability of the market can be tested by the loyalty of buyers who pertain to different clusters. 2. From the market oriented supply-demand matrix, we know the market supply is more than demand. According to the membership grade of sub-segmentations of products, we find the product respositioning path. And according to moving direction and position, we can make the marketing mixed strategy.

Topic Category 社會科學 > 社會學
Reference
  1. Affifi, A. A., Clark, V.(1990).Computer-Aided Multivariate Analysis.Van Nostrand Reinhold.
  2. Barney, J. B.(1991).Firm Resources and Sustained Competitive Advantage.Journal of Management,17(1)
  3. Bezdek, J. C.(1981).Pattern Recognition with Fuzzy Objective Function Algorithms.New York, NY:Plenum Press.
  4. Bezdek, J. C.(1974).Cluster Validity with Fuzzy Sets.J. Cybernetics,3
  5. Bohrnstedt, G. W.(1970).Attitude Measurement.Chicago:Rand McNally.
  6. Bollen, K. A.(1989).Structural Equations with Latent Variables.New York:John Wiley & Sons.
  7. Bradley, R. A., Katti, S. K., Coons, I. J.(1962).Optimal Scaling for Ordered Categories.Psychometrika,27(4)
  8. Cattell, R. B.(1978).The Scientific Use of Factor Analysis in the Behavioral and Life-Sciences.New York, NY:Plenum Press.
  9. Chaudhuri, Surajit(1997).An Overview of Data Warehousing and OLAP Technology.SIGMOD Record,26(1)
  10. Churchill, Jr. G. A.(1995).Marketing Research-Methodological Foundations, 6.New York:The Dryden Press.
  11. Day, G. S.(1994).Continuous Learning about Markets.Journal of Marketing,58
  12. Day, G. S.(1977).Diagnosing the Product Portfolio.Journal of Marketing,41
  13. Dunn, J. C.(1976).Fuzzy Automata and Decision Processes.New York, NY:Elsevier.
  14. Fiegenbaum, A., Thomas, H.(1995).Strategic Groups as Reference Group: Theory Modeling and Empirical Examination of Industry and Competitive Strategy.Strategic Management Journal,16(6)
  15. Fukuyama, Y., Sugeno, M.(1989).Proc. 5th Fuzzy Syst. Symp..
  16. Gu, T., Dubuisson, H.(1990).Similarity of classes and Fuzzy Clustering.Fuzzy Sets and Systems,34
  17. Han, J.(1997).ICDE.
  18. Han, J.(1997).IFIP Conference on Data Semantics, DS-7.
  19. Imball, R.(1997).A Dimensional Modeling Manifesto.DBMS
  20. Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., Mieno, H.(1993).The Max-Min Delphi Method and Fuzzy Delphi Method Via Fuzzy Integration.Fuzzy Sets and Systems,55
  21. Jaworske, B., Kohli, A.(1993).Market Orientation: Antecedents and Consequences.Journal of Marketing,57
  22. Kohli, A. K., Jaworski, B. J.(1990).Market Orientation: The Construct, Research Propositions, and Managerial Implications.Journal of Marketing,54(2)
  23. Kolter, P.(1992).Market Management: Analysis, Planning, Implementation and Control.Englewood Cliffs, N. J.:Prentice-Hall, Inc..
  24. Leonard, D., Rayport, J.(1997).Spark Innovation through Empathic Design.Harvard Business Review,75(6)
  25. Manly, B. F. J.(1986).Multivariate Statistical Methods A Primer.London:Chapman & Hall.
  26. Roubens, M.(1982).Fuzzy Clustering algorithms and their Cluster Validity.European Journal of Operation Research,10
  27. Sarawagi, Sunita, Agrawal, Rakesh, Megiddo, Nimrod(1998).EDBT.
  28. Turksen, I. B., Tian, Y., Berg, M.(1992).A Fuzzy Expert System for a Service Center of Spare Parts.Expert System with Application,5
  29. Wang, H., Bell, P. M.(1996).Fuzzy Clustering Analysis and Multi-factorial Evaluation for Students' Imaginative Power in Physics Problem Solving.Fuzzy Sets and Systems,78
  30. Xie, X., Beni, G.(1991).A validity measure for fuzzy clustering.IEEE Transactions on Pattern Analysis and Machine Intelligence,13(8)
  31. Zikmund, W. G.(1991).Business Research Method.Chicago:The Dryden.
  32. Zimmermann, H. J.(1991).Fuzzy Set Theory and its Applications.Holland:Kluwer Academic Publishers.
  33. 王清弘(1999)。企業建立平衡計分卡之研究。國立政治大學企業管理研究所。
  34. 林存德(1998)。多維式資料庫設計-以連鎖零售業為例。資訊與電腦雜誌 Information and Computer,214
  35. 林青容(1994)。資源基礎觀點下之企業成長歷程-以高雄地區建設公司為例。國立中山大學企業管理研究所。
  36. 徐村和 Hsu, Tsuen-Ho、 朱國明 Chu, Kao-Ming、 詹惠君 Chan, Hei-Chun(2000)。模糊集群應用於信用卡市場區隔與消費行為分析 Fuzzy Clustering for the Credit Card Market Segmentation and the Consumer Behavior Analysis。臺大管理論叢 NTU Management Review,11(1)
  37. 徐村和 Hsu, Tsuen-Ho、 朱國明 Chu, Kao-Ming、 詹惠君 Chan, Hei-Chun(2001)。模糊語意尺度之研究 A Study on Fuzzy Linguistic Scale。企業管理學報 Journal of Business Administration,51
  38. 高雄市政府主計處(1992)。高雄市政府統計年報
  39. 高雄市政府主計處(1993)。高雄市政府統計年報
  40. 高雄市政府主計處(1994)。高雄市政府統計年報
  41. 高雄市政府主計處(1995)。高雄市政府統計年報
  42. 高雄市政府主計處(1996)。高雄市政府統計年報
  43. 高雄市政府主計處(1997)。高雄市政府統計年報
  44. 高雄市政府主計處(1998)。高雄市政府統計年報
  45. 張淑貞 Chang, Shu-Chen, Hwang, Ching Lai, Hwang, F. P.(1992).Fuzzy Multiple Attribute Decision Making: Methods and Applications.New York:Spring-Verlag.
  46. 曹易宏(1998)。應用可適性群集方法於非線性離散系統之模糊鑑別。國立雲林科技大學電機工程技術研究所。
  47. 郭俐蘭(2000)。支援使用者觀點之線上分析系統。國立中央大學資訊工程研究所。
  48. 游政憲(2000)。網路瀏覽行為線上分析機制之研究。國立台北科技大學商業自動化與管理研究所。
  49. 黃國亮(1995)。模糊理論應用於集群分析之探討。國立成功大學統計研究所。
  50. 蔡坤宏 Tsai, Kuen-Hung(1997)。順序尺度之等距假設對驗證性因素分析模式估計的影響 The Influences of the Interval Assumption of Ordinal Scale on the CFA Model。管理學報 Journal of Management,14(3)
  51. 薛道隆(1994)。模糊集群分析於市場區隔之應用。高雄:國立中山大學企業管理研究所。
Times Cited
  1. 曾國軒(2009)。台南市新建住宅價格空間分布與變遷分析。長榮大學土地管理與開發研究所學位論文。2009。1-106。 
  2. 許志瑋(2004)。結合ABC分析與模糊分類分析法於存貨管理之應用-以醫院衛材為例。臺北醫學大學醫務管理學研究所學位論文。2004。1-80。
  3. 彭竹君(2009)。新推個案競爭程度分析。政治大學地政研究所學位論文。2009。1-66。