臺灣博碩士論文加值系統

隨著網際網路的普及，購屋者的購屋行為也跟著改變。現今購屋者通常都會先利用網路工具的尋找符合需要的房子。雖然房仲網站能依照購屋者輸入的基本條件做房屋過濾，但現有的房仲網還無法處理購屋者的模糊購屋目標與條件。為了增加競爭力，房仲網應該提供更好的媒合機制、個人化的服務以及依購屋者偏好為潛在房屋的排序等功能，以提高購屋者的滿意度和最後購屋成交量。同時，為理解購屋者模糊購屋目標與條件，讓購屋者能設定滿意度指標也是必要的。本研究提出模糊多準位多目標規劃方法，並結合層級分析法作為購屋者線上購屋的決策輔助工具。模糊多準位多目標規劃方法能夠幫助購屋者，在考慮個別目標多準位與目標間模糊關係情況下，找出最適當的房屋。除此之外，購屋者還能為個人購屋條件設定權重，這些權重關係也會轉換至資料庫中作為搜尋準則。本研究提出的方法能依購屋者的購屋偏好衡量潛在房屋，並對這些房屋做排序，以幫助購屋者做出各方條件衡量加總後的最佳房屋決策。

The widespread use of the Internet has significantly changed the behavior of homebuyers. Using information technology, homebuyers can rapidly search for a house meeting their needs. Although online real estate agents can screen out certain houses according to the homebuyer’s requirements, the current online housing system has limited abilities, particularly regarding ranking of houses based on homebuyer’s ambiguous housing goals and fuzzy constraints. To increase competitiveness, online real estate agents should provide an efficient matching mechanism, personalized service and house ranking with the aim of increasing both homebuyers’ satisfaction and the number of successful real estate transactions. In order to comprehend the ambiguous housing goals and constraints generated by conflicting residential preferences, determining a satisfaction lever for each fuzzy goal and constraint is also indispensable. In this study, we present a Fuzzy multi-choice goal programming (FMCGP) method and integrate Analytical hierarchy process (AHP) method as a decision aid assisting homebuyers in selecting the appropriate house on the Internet. FMCGP will aid homebuyers to choose the suitable house based on multiple aspiration levels with vague goals’ relation consideration. In addition, homebuyers can specify their housing constraints with different priorities levels and the thresholds for the fuzzy queries that can be translated into precise queries for a regular relational database. This methodology evaluates the acceptable houses by giving preferential weights to them according to homebuyers’ preferences and returns a personalized online house ranking list so as to provide the utility-maximizing “perfect” house for homebuyers.

Abstract……………………………………………………………………………….I
摘要…………………………………………………………………………… ……II
Table of Contents……………………………………………………………… ……III
List of Tables…….…………….…………………………………………………….V
List of Figures…………………….……………………………………… …….VI
Chapter 1 Introduction...………………………………………………………………1
1.1 Background...……………………………………..…………….…………1
1.2 Research motivation and objectives…….…..….….………………………2
1.3 Organization of the dissertation…………...….….………………………..4
Chapter 2 Literature review ……………………………..……………………………5
2.1 Housing literature and housing criteria classification …………………5
2.2 Analytical hierarchy process …….……….… ….……………………….11
2.3 Goal Programming (GP) and the relative method ………..…………….13
2.4 Multi-choice goal programming (MCGP) approach…………...……….19
Chapter 3 Methodology ………………………………………………..…………….26
3.1 Data representation……………………………………………………….26
3.2 The proposed method…………………………………………………….27
3.3 Solution procedure……………………………………………………….34
Chapter 4 Design and implement of Housing decision support system…………….38
Chapter 5. Sensitivity analysis……………………………………………………….55
Chapter 6. Hypotheses and Lab experiment…………………………………………60
6.1 Hypotheses…………………………………………………………………60
6.2 Experimental design……………………………………………………….61
6.3 Experimental results……………………………………………………….62
Chapter 7. Conclusions………………………………………………………………66
Appendix A. Model formulation…………………………………………………….69
Appendix B. Questionnaire of AHP…………………………………………………72
Appendix C. Questionnaire after making decision with HDSS……………………..73
Reference……………………………………………………………………………..74

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