臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：應用模糊語意方法與不連續選擇理論建立家戶購屋選擇行為模式之研究
作者：連經宇
作者(外文)：Ching-Yu Lein
校院名稱：國立成功大學
系所名稱：都市計劃學系碩博士班
指導教授：陳彥仲
學位類別：博士
出版日期：2003
主題關鍵詞：住宅；區位選擇；類型選擇；Logit模型；模糊語意尺度法；housing；location choice；type choice；Logit model；Fuzzy Linguistic Scale (FLS)
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(4) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:2
  • 共同引用共同引用:0
  • 點閱點閱:54
　　有關家戶對住宅之選擇行為，長期以來一直是重要的研究課題。由於家戶在住宅選擇時通常包含甚為複雜的過程，其中隱含的不確定性甚高。加以消費者對自身需求並非明確具體，而具主觀感認的模糊性，欲取得明確的資訊實際上是非常困難的。即使資料中所給予的明確資訊是否能真正表現出消費者本身在偏好上的模糊特性，亦值得商榷。因此，瞭解購屋家戶對住宅選擇的偏好與行為評估準則對於政府擬定住宅政策及業者提供適切的住宅產品將會是非常有助益的。本研究將主題將界定在方法論的比較上。主要目的在建立一個更趨近於人類主觀感認(subjective perception)的真實行為可以處理語意變數之個體家戶購屋選擇行為分析模式，以作為試圖改進Logit模型在家戶住宅個體選擇行為研究中對於模糊性與不確定性問題的處理。本研究首度嘗試藉由傳統不連續選擇理論中的Logit模型結合模糊決策理論中改良後的模糊語意尺度法(Fuzzy Linguistic Scale, FLS)來推估家戶住宅選擇之機率，以建構「在模糊語意下的Logit模型(Fuzzy Linguistic Logit Model, FLLM)」。
　　在實證分析方面，本研究以家戶購屋區位與類型選擇行為之影響效果為例，藉由相關文獻回顧及購屋決策選擇行為理論，選取衡量家戶購屋決策區位及類型選擇行為之適當指標，並設計傳統李克特尺度法與模糊語意尺度法之問卷。將傳統李克特尺度及模糊語意尺度兩種問卷調查資料的結果，分別透過相關分析、因素分析與信度分析萃取重要的原始與模糊購屋決策選擇屬性變數，以建立各屬性變數的模糊權重，進而建構家戶購屋決策區位及類型選擇的模糊效用函數。然後，分別應用不連續選擇理論於家戶購屋決策區位及類型選擇之二項、多項及巢式Logit模型，及結合不連續選擇理論以及模糊集合論後的家戶購屋決策區位及類型選擇之在模糊語意下的二項、多項及巢式Logit模型之三類不同的參數校估模式，建立家戶購屋決策區位及類型選擇行為的理論分析架構。最後，將原始與在模糊語意下的二項、多項及巢式Logit修正模型的估計結果分別進行模型驗證與比較，以驗證本研究所建立的三種模糊整合模型是否較佳。實證資料選自於1998年初至1999年底台南都市地區的購屋家戶住宅調查。
　　本研究的實證結果可分為兩個部分來探討。第一、在不同方法論的比較方面：首先，由實證分析結果證實，本研究所建立的家戶住宅區位與類型選擇個體行為分析模型。在加入模糊語意後，除了住宅類型二項選擇模型外，無論在模型的配適能力、預測成功率、期望需求彈性與概似比統計量檢定等相關統計與經濟指標的意義上，在模糊語意下多項選擇與巢式選擇之Logit模型皆較傳統多項選擇與巢式選擇之Logit個體模型為佳。其次，本研究經由實證分析結果發現，在模糊語意下的Logit模型在理論與實務應用上能適用於透天或是集合住宅家戶進行住宅區位多項選擇與住宅類型巢式選擇之情況; 其中由於包容值係數值介於0與1之間，顯示其他Logit模型的估計值都會有誤差，故本研究乃用巢式Logit模型來改善其他Logit模型的問題(例如多項Logit模型IIA的問題)。最後，經由本研究實證結果證實，在傳統Logit模型加入模糊語意後，將可以解決傳統住宅選擇個體計量經濟模型中具模糊性與不確定性的解釋變數處理的問題，並可作為協助具質化資料與量化分析方法整合的重要參考。
　　第二、在實證分析的成果方面：首先，在模糊語意尺度型態尺度之差異比較方面，經由本研究實證分析後發現，某些型態語意措辭的三角模糊數存在多個重疊(overlapping)的現象，在提高認同程度衡量函數進行解模糊化後，雖可明顯改善模糊數圖形重疊的效果，但因樣本數大幅減少而無法反映實際調查樣本的行為現象。因此其顯示的意義代表選項愈多受訪者愈難加以評價的現象，充分表現人類進行評價時的心理認知是模糊的特性。此外，各型態模糊數的定義範圍皆不同，可解決傳統問卷假設任何兩種尺度間的差距都是相等的衡量誤差，而且透天及集合住宅家戶無論對於購屋評估準則之購屋前重視度或購屋後滿意度均大都傾向較為負面的看法。其次，在實證模型解釋變數的合理性方面，「家戶可支配所得」與「住宅面積」兩變數的係數均呈現相當顯著性，顯示「家戶可支配所得」或「住宅面積」愈高，家戶選擇住宅的效用愈大。「良好學區滿意度」變數除了集合住宅五方案模型外，均為家戶進行住宅區位選擇的具顯著影響變數。顯示上述具顯著性的三個變數均與相關研究結果一致。最後，在透天與集合住宅家戶的期望需求彈性推估結果方面，無論是家戶進行住宅區位與住宅類型個體選擇時，在模糊語意下的Logit模型校估結果所推估的彈性值變化的幅度較傳統Logit個體模型校估結果所推估的彈性值變化的幅度為小，顯示其集中程度已提高。
　　A household''s decision for housing choice is always a critical issue. During households'' housing choice behavior, it includes a very complex and uncertain process. It is very difficult to get certain information on households'' housing choice behavior. Understanding the household''s preference and establishing the evaluating criteria would help the government to formulate housing policies and the housing developers to provide housing products. The major topic of this study will be focused on the comparison of different methodologies. The main purpose of this study is to purpose a new micro-choice behavior model in household purchase and to depict the reality of human subjective perception behavior. We hope to improve the Logit model in dealing with many uncertain and fuzzy situations about housing choice behavior in household purchase. A new Fuzzy Linguistic Logit Model (FLLM) is proposed in this study to estate the probability of housing choice according to the Logit models of discrete choice theory combined with the well-developed Fuzzy Linguistic Scale (FLS) approach.
　　In empirical analysis, this study will give instances for the effects of housing location and type choice behavior in household purchase. The choice indexes will be measured to a household''s decision for housing location and type choice behavior by means of related literature reviews. This study will also design two questionnaires for both Likert scale and FLS in order to extract the weights of both certain and fuzzy attribute variables and to construct fuzzy utility function by using correlation analysis, factor analysis and reliability analysis. A new FLLM is established by applying the binary, multinomial and nested choice Logit models as well as FLS for location and type choice in household purchase. Then this study will verify and compare whether the empirical results of those three FLLMs are better or not. We selected data from a housing survey in Tainan city of the southern Taiwan for the empirical case study from the beginning of 1998 to the end of 1999.
　　The research results show the following two parts. First, in the comparison of different methodologies: the first finding of this study is that after comparing the different models, in addition to binary choice models, the goodness-of-fit, success rate of forecasting, expected demand elasticity and likelihood statistic test in FLLM are all better than those in Logit model, especially in the nested fuzzy Logit model (FNMNL). The second finding of this study is that the new model is proposed to be more capable of dealing with the problem of qualitative variables, which is one of the critical issues in quantitative approaches. Second, in the empirical results: the first finding of this study is that in the different comparison of FLS, triangular fuzzy numbers of some linguistic types have several overlapping situations. Although above situations are significantly improved after raising the numerical value of Identity Degree Measure Function (IDMF) to process the defuzzification, this result cannot reflect the real human behavior due to the samples decreased substantially. The implication of this result verifies that the human subjective perception has the fuzzy characteristics. In addition, the definitions of various types of fuzzy number are different and unsymmetrical. For the households of single and multiple housing, the opinions of ordinary people for relatively negative linguistic terms show greater differences, whereas those for more positive linguistic terms are usually more similar. The second finding of this study is that the household disposable income and housing space are very significant. Except for five alternatives of the households of multiple housing, the degree of satisfaction for neighborhood zone is very significant. Finally, in the estimation results of expected demand elasticity, the change scope of elasticity value for FLLM is less than that of Logit model. It indicates that the degree of concentration has been increased.
（一）中文部分
1. 尤淨纓(2001)，網路電路選擇行為之研究-模糊積分羅吉特模式之應用，交通大學交通運輸研究所碩士論文。（未出版）
2. 伊慶春(1987)，夫妻權力與婚姻調適之研究：初步分析，行政院國科會專題研究計畫報告。
3. 江建良(2001)，市場調查，台北：高立圖書公司。
4. 汪培庄(1990)，模糊集合論及其應用，台北：中國生產力中心。
5. 台南市政府(1992)，台南市綜合發展計畫。
6. 台南市政府(1996)，台南市住宅建設計畫之規劃。
7. 台南縣政府(1995)，台南縣綜合發展計畫。
8. 阮亨中、吳柏林(2000)，模糊數學與統計應用，台北：俊傑書局。
9. 阮金祥、徐村和、詹惠君(1998)，「模糊理論與服務品質管理應用之探討-以北高航線為例」，1998企業管理研討會論文集，東吳大學企業管理學系。
10. 李金泉(1993)，SPSS/PC+實務與應用統計分析，台北：松岡電腦公司。
11. 李信佩(1997)，家戶組成對住宅租購選擇影響之研究-以台北市為例，政治大學地政研究所碩士論文（未出版）。
12.林見飛(2000)，從空屋鏈理論推論都市住宅空屋移轉現象之研究-以台南市為例，成功大學都市計劃研究所碩士論文（未出版）。
13.林祖嘉(1990)，「反向巢型多項式Logit模型下的住宅需求與租買選擇」，經濟論文，第18卷第1期，第137至158頁。new window
14.林祖嘉(1992)，「台灣地區房租與房價關係之研究」，台灣銀行季刊，第43卷第1期，第279至312頁。new window
15. 林祖嘉(1994)，「台灣地區住宅需求與租買選擇之聯合估計」，國立政治大學學報，第68期，第188至200頁。
16.林祖嘉、林素菁(1994)，「台灣地區住宅需求價格彈性與所得彈性之估計」，住宅學報，第2期，第25至48頁。new window
17.林國民(1996)，高雄市自有住宅特徵價格之研究，成功大學都市計劃研究所碩士論文（未出版）。
18.林瑞山(1992)，台北市民生活型態對於購買房屋行為影響之研究，中興大學企管研究所碩士論文（未出版）。
19.吳水威(1998)，「市中心商業區行人對佈道類型選擇模式之研究」，國科會區域研究學門專題計劃成果發表會論文集，第119至129頁。
20.吳育哲(1998)，住宅購屋者生活型態與市場區隔之研究，淡江大學管理科學研究所碩士論文（未出版）。
21.吳森田(1981)，「居住需求的所得彈性：台北市的實證結果」，經濟研究，第23期，第11至16頁。
22.周美伶、張金鶚(2002)，「購屋搜尋行為影響因素之研究」，2002年中華民國住宅學會第十一屆年會論文集，中華民國住宅學會，第408至421頁。
23.段良雄(1984)，「巢式多項羅機(NMNL)運具選擇模式」，運輸計劃季刊，第13卷，第3期，第285至308頁。new window
24.段良雄、張淳智(1992)，「建立個體住宅區位選擇模式之研究」，運輸計劃季刊，第21卷，第4期，第401至422頁。new window
25.洪鴻智(1997)，可能性理論與模糊數學在環境風險-效益分析之應用，台灣大學建築與城鄉研究所博士論文（未出版）。
26.胡誌芳(1989)，台北市民住宅選擇與購宅能力之研究，政治大學地政研究所碩士論文（未出版）。
27.徐村和(1998)，「消費者對信用卡認知與偏好之研究」，企業管理學報，第43期，第107至134頁。
28.徐村和(1998)，「模糊德菲層級分析法」，模糊系統學刊，第4卷第1期，第59至72頁。
29.徐村和、李達章(1997)，「模糊產品投資組合模式」，管理學報，第14卷第2期，第263至286頁。new window
30.徐村和、楊宗欣(2000)，「應用模糊層級分析法評選廣告媒體」，管理與系統，第7卷第1期，第19至39頁。new window
31.徐村和、朱國明、詹惠君(2001)，「模糊語意尺度之研究」，企業管理學報，第五十一期，第27至52頁。new window
32.連經宇、陳彥仲(1999)，「模糊語意變數法應用於住宅消費決策行為之初探研究」，住宅學報，第八期，第69至90頁。new window
33.連經宇(2002)，「家戶購屋決策影響因素之初探研究：結合模糊語意的因素分析法之實證比較」，台灣土地研究，第四期，第29至51頁。new window
34.陳協勝(1992)，模糊多準則決策應用在都市公車民營化方案評估之研究，成功大學交通管理科學研究所碩士論文（未出版）。
35.陳彥仲(1996)，住宅特徵屬性隱含市場之推估方法比較及實證探討，行政院國科會專題研究計畫成果報告，計畫編號：NSC86-2415-H006-003。
36.陳彥仲(1997)，「住宅選擇之程序性決策模式」，住宅學報，第5期，第37至49頁。new window
37.陳彥仲(1998)，「對多項Logit模型參數指定方式之比較分析」，交大管理學報，第18卷第2期，第171至185頁。new window
38.陳淑美、張金鶚(1998)，「戶長及其配偶對住宅區位選擇之影響力分析」，住宅學報，第7期，第59至81頁。new window
39.陳淑美(2000)，家戶住宅調整決策與區位選擇之研究-兼論女性的影響力分析，政治大學地政研究所博士論文（未出版）。new window
40.陳偉傑(1997)，市場導向的模糊群組定位模式-以信用卡產業為例，義守大學管理科學研究所碩士論文（未出版）。
41.曹勝雄、曾國雄、江勁毅(1996)，「傳統計量迴歸、模糊迴歸、GMDH、類神經網路四種方法在預測應用之比較-以國人赴港旅客需求之預測為例」，中國統計學報，第34期，第2卷，第132至161頁。new window
42.曹葦如、張金鶚、林秋瑾(1999)，「以質化方法分析台北地區購屋之行為」，1999年中華民國住宅學會第八屆年會論文集，中華民國住宅學會，第277至298頁。
43.張金鶚、林秋瑾、劉怡吟(1996)，「台北市家戶住宅選擇變遷之研究」，1996年中華民國住宅學會第五屆年會論文集，中華民國住宅學會，第487至516頁。
44.張家瑞(2001)，建立台灣地區瀝青路面網級養護管理系統-以公路局中壢工務段為例，中央大學土木工程研究所博士論文。（未出版）
45.曾芳美(2002)，「分割型模糊積分羅吉特模型」，2002中華民國第十屆模糊理論及其應用會議論文集光碟版，中國模糊學會。
46.曾國雄、歐嘉瑞、陳郁文(1993)，「稅負規費徵收對台灣地區小汽車銷售量之影響-模糊迴歸與傳統迴歸於公共政策探討之應用」，中國行政評論，第2卷第3期，第91至126頁。new window
47.曾國雄、邱怡璋、陳君杰(1997)，「模糊敘述性偏好整合模式之研究」，模糊系統學刊，第3期，第2卷，第39至51頁。
48.曾喜鵬、薛立敏(2001)，「台北都會區居住遷移區位與住宅全屬選擇關係及其影響因素之研究」，2001年中華民國住宅學會/區域科學學會聯合年會及論文研討會論文集，第621至641頁。
49.郭育志(1990)，台北市民生活型態對購屋行為之動機、評估準則、態度因素影響之研究，台灣大學商學研究所碩士論文（未出版）。
50.郭婉容(1992)，個體經濟學，台北：三民書局。
51.戚靜玟(1998)，住宅市場區隔與購屋行為之研究，台灣科技大學管理技術研究所碩士論文（未出版）。
52.黃文隆(1999)，抽樣方法，初版，台中：滄海書局。
53.黃俊英(1991)，多變量分析，第四版，台北：中國經濟企業研究所。
54.黃盛銘(1996)，小汽車消費選擇行為-模糊多屬性效用模式，義守大學管理科學研究所碩士論文（未出版）。
55.黃錦玲(1994)，台北市住屋購買行為之研究，交通大學管理科學研究所碩士論文（未出版）。
56.馮正民、呂秀玉(1997)，「模糊方法在質化評估準則之運用-交通建設土地徵收難易度為例」，都市與計畫，第24期，第1卷，第1至21頁。new window
57.鄒克萬(1988)，「屬性效用評估模式(EBAU)之發展」，規劃學報，第15期，第117至132頁。new window
58.楊重信(1987)，「台灣地區之居住空間水準」，台灣地區人口遷移、分佈與區域發展研討會論文集，第145至186頁。
59.楊龍士、江宛瑛(1993)，「影響居住區位選擇指標之建立」，規劃學報，第20期，第71至86頁。new window
60.虞惕(1987)，台中市住屋市場購買行為之研究，東海大學企管研究所碩士論文（未出版）。
61.榮泰生(1999)，消費者行為，台北：五南圖書出版公司。
62.蔡吉源(1980)，租稅與居所選擇，台北：中央研究院三民主義研究所。
63.蔡坤宏(1997)，「順序尺度之等具架設對驗證性因素分析模式估計的影響」，管理科學學報，第387至402頁。new window
64.蔡宜哲(1996)，從個體不連續選擇行為探討台灣地區住宅需求之價格彈性及所得彈性分析，成功大學都市計劃研究所碩士論文（未出版）。
65.蔡菊花(1998)，休閒式住宅市場購屋與使用行為之研究-「地中海」與「百年大鎮」個案探討，中興大學都市計劃研究所碩士論文（未出版）。
66.鄧振源、曾國雄、林幸加(1989)，「模糊決策原理及其應用」，交通運輸，第11期，第99至125頁。
67.劉廷揚、王蓉莉、蘇政宏(2000)，「高雄市消費者購屋決策行為之研究」，2000年中華民國住宅學會第九屆年會論文集，中華民國住宅學會，第123至136頁。
68.劉怡吟(1996)，台北市家戶住宅選擇變遷之研究，政治大學地政研究所碩士論文（未出版）。
69.劉惠雯(1985)，台北都會區社區/住宅選擇之研究，中興大學都市計劃研究所碩士論文（未出版）。
70.謝文盛、林素菁(2000)，「租稅效果對住宅租買選擇影響之分析」，住宅學報，第9卷第1期，第1至17頁。new window
71.薛立敏、陳琇里(1997)，「住宅租擁選擇下家計消費支出之比較」，住宅學報，第七期，第21至40頁。new window
72.薛立敏、曾喜鵬(2000)，「台灣各都市內部遷徙率與住宅市場關係之實證研究」，住宅學報，第九期，第二卷，第79至97頁。new window
73.簡貞玉譯(1996)，Hawkins, D. I., R. J. Best, and K. A. Coney(1995), 消費者行為學(Consumer Behavior: Implication for Marketing Strategy), 5th edition, 台北：五南圖書出版公司。
74.簡錦漢(2001)，「家戶搬遷的個體計量方法」，行政院國科會區域研究及人文地理學門研究方法及資料庫運用研討會論文集彙編，第347至367頁。
75.藎壚(1991)，實用模糊數學，台北：亞東書局。
（二）英文部分
1.Alonso, W. (1964), Location and Land Use, Harvard University Press, Cambridge.
2.Anas, A. (1982), Residential Location Markets and Urban Transportation, Economic Theory, Econometric and Policy Analysis with Discrete Choice Model, Academic Press, New York.
3.Anas, A. and Chu, C. (1984), "Discrete Choice Models and the Housing Price and Travel to work Elasticities of Location Demand," Journal of Urban Economics, Vol. 15, No. 1, pp.107-123.
4.Asker, D.A. (1981), "Factor Analysis: An Exposition," in D. Asker(ed.), Multivariate Analysis in Marketing, 2nd ed., Palo Alto, California, U.S.A., pp.163-171.
5.Asker, D.A. (1995), Marketing Research, New York: John Wily & Sons, Inc., 5th ed., pp. 360.
6.Assadian, A. and Ondrich, J. (1993), "Residential Location, housing Demand and Labor Supply Decisions of One- and Two-Earner Household: The Case of Bogota, Colombia," Urban Studies, Vol. 30, No.1, pp.73-86.
7.Bagnoli, C. and Smith, H. C. (1998), "The Theory of Fuzzy Logic and its Application to Real Estate Valuation," Journal of Real Estate Research, Vol. 16, No. 2, pp.169-199.
8.Bandemer, H. and Gottwald, S. (1995), Fuzzy Sets, Fuzzy Logic, Fuzzy Methods with Applications, John Wiley and Sons Ltd, England.
9.Bartlett, M.S. (1950), "Tests of Significance of Factor Analysis", British Journal of Psychology (Statistical Section), No. 1, pp.77-85.
10.Bellman, R. E. and Zadah, L.A. (1970), "Decision-Making in a Fuzzy Environment," Management Science, Vol. 17, No. 4, pp.141-164.
11.Ben-Akiva, M. and Lerman, S. R. (1985), Discrete Choice Analysis: Theory and Application to Travel Demand, MIT Press.
12.Boehm, T. P. (1981), "Tenure Choice and Expected Mobility: A Synthesis," Journal of Urban Economics, Vol. 10, No. 3, pp.375-389.
13.Boehm, T. P. (1982), "A Hierarchical Method of Housing Choice," Urban Studies, Vol. 19, No. 1, pp.17-31.
14.Bollen, K.A. and Brab, K. H. (1981), Pearson''s R and Coarsely Categorized Measures, American Sociological Review, Vol. 46, No. 2, pp.232-239.
15.Bradly, R. A., Katti, S. K. and Coons, I. J. (1962), "Optimal Scaling for Ordered Categories," Psychometrika, Vol. 27, No. 3, pp.355-374.
16.Chang, P. and Chen, Y. (1994), "A Fuzzy Multi-criteria Decision making Method for Technology Transfer Strategy Selection in Biotechnology," Fuzzy Sets and Systems, Vol.63, No.2, pp.131-139.
17.Chen, S. H. (1985), "Ranking Fuzzy Numbers with Maximizing Set and Minimizing Set," Fuzzy Sets and Systems, Vol.17, No.2, pp.113-129.
18.Chen, S. H. and Hsieh, C. H. (1999), "Graded Mean Integration Representation of Generalized Fuzzy Number," Journal of Chinese Society for Fuzzy Systems, Vol. 5, No.2, pp.1-7.
19.Chen, S. H. and Hwang, C. L. (1992), Fuzzy Multiple Attribute Decision Making: Methods and Applications, Springer-Verlag Berlin Heidelberg, New York, pp.465-486.
20.Chen, Y. W. and Tzeng, G. H. (2001), "Using Fuzzy Integral for Evaluateing Subjectively Perceived Travel Costs in A Traffic Assignment Model," European Journal of Operational Research, Vol. 130, No.3, pp.653-664.
21.Cheng, C. H. (1996), "Evaluating Naval Tactical Missile Systems by Fuzzy AHP Based on the Grade Value of Membership Function," European Journal of Operational Research, Vol. 96, No.3, pp.343-350.
22.Clark, W. A. and Onaka, J. C. (1985), "An Empirical Test of Joint Model of Residential Mobility and Housing Choice," Environment and Planning, Vol. 17, No. 6, pp.915-930.
23.Davis, H. L., Douglas, S. P. and Silk, A. J. (1981), "Identifying Interurban Shoppers: Multi-product Purchase Patterns and Segmentation Profiles", Journal of Marketing, Vol. 45 (Spring), No. 1, pp.98-108.
24.de Leeduw, F. (1971), "The Demand for Housing: A Review of Cross-Section Evidence," Review of Economics and Statistics, Vol. 53, No. 1, pp.1-10.
25.Delgado, M., Verdegay, J. L. and Vila, M. H. (1993), "Linguistic Decision Making Model," International Journal of Intelligent Systems, Vol.7, No. 4, pp.479-492.
26.Dong, W. M. and Wong, F. S. (1987), "Fuzzy Weighted Averages and Implementation of the Extension Principle," Fuzzy Sets and Systems, Vol. 21, No.2, pp.183-191.
27.Dubois, D. and Prade, H. (1988), Possibility Theory: An Approach to Computerized Processing of Uncertainty, New York: Plenum Press.
28.Engel, J. F., Blackwell, R. D. and Miniard, P. W. (1968 and 1995), Consumer Behavior, 1st and 8th(Eds.). Forth Worth, TX: The Dryden Press.
29.Follain, Jr. J. R. (1982), "Does Inflation Affect Real Behavior: The Case of Housing," Southern Economic Journal, Vol. 48, No. 3, pp.570-582.
30.Follain, Jr. J. R. and Jimenez, E. (1985), "The Demand for Housing Characteristics in Development Countries," Urban Studies, Vol. 22, No. 4, pp.421-432.
31.Frenzen K. and Davis, H. L. (1980), "Purchasing Behavior in Embedded Markets," Journal of Consumer Research, Vol.10, No. 1, pp.1-2.
32.Galster, G. C. (1977), "A Bit Rent Analysis of Housing Market Discrimination," American Economic Reviews, Vol. 67, No.2, pp.144-155.
33.Ghobt, F. and Warren, L. (1995), "A Case Study Comparison of the Analytic Hierarchy Process and A Fuzzy Decision Methodology", The Engineering Economist, Vol. 75, No. 2, pp.233-246.
34.Gillingham, R. and Hagemann, R. (1983), "Cross-Sectional Estimation of A Simultaneous Model of Tenure Choice and Housing Services Demand," Journal of Urban Economics, Vol. 14, No.1, pp.16-39.
35.Goodman, A. C. (1988), "An Econometric Model of Housing Price, Permanent Income, Tenure Choice, and Housing Demand," Journal of Urban Economics, Vol. 23, No. 3, pp.327-353.
36.Greene, W. H. (1993), Econometric Analysis, 2nd, ed., Macmillan Publishing Company, New York, pp.636-672.
37.Hair, J. F., Anderson, R. E., Tatham, R. L. and Black, W. C. (1998), Multivariate Data Analysis (5th ed.), NJ: Prentice-Hall International Inc., pp.384-385.
38.Hamilton, B. W. (1975), "Property Taxes and Tiebout Hypothesis: Some Empirical Evidence," in Fiscal Zoning and Land Use Control, E. S. Mills and W. E. Oates (eds.) Lexington, Mass.: Heath.
39.Hamilton, B. W. (1976), "The Effects of Property Taxes and Local Public Spending on Property Values: A Theoretical Comment." Journal of Political Economy, Vol. 84, No. 5, pp.647-650.
40.Hamilton, B. W. and Schwab, R. M. (1985), "Expected Appreciation in Urban Housing Markets," Journal of Urban Economics, Vol. 18, No. 2, pp.103-118.
41.Henderson, J. V. and Ioannides, Y. M. (1986), "A Model of Housing Tenure Choice," American Economic Reviews, Vol. 73, No.1, pp.98-103.
42.Herrera, F., Herrea-Viedma, E. and Verdegay, J. L. (1996), "A Model of Consensus in Group Decision Making under Linguistic Assessments," Fuzzy Sets and Systems, Vol.79, No. 1, pp.73-87.
43.Herrera, F., Herrea-Viedma, E. and Verdegay, J. L. (1997), "A Rational Consensus Model in Group Decision Making Using Linguistic Assessments," Fuzzy Sets and Systems, Vol.88, No. 1, pp.31-49.
44.Herrera, F., Herrea-Viedma, E. and Martinez, L. (2000), "A Fusion Approach for Managing Multi-granularity Linguistic Term Sets in Decision Making," Fuzzy Sets and Systems, Vol.114, No. 1, pp.43-58.
45.Herzog, T. (1996), Research Methods and Data Analysis in the Social Sciences, Addison Wesley Longman Publishers Inc.
46.Hsu, T. H. (1997), "Transportation Project Evaluations: A Fuzzy Measure AHP," Proceedings of the National Science Council (ROC), Part C, Vol. 7,No. l, pp.26-34.
47.Hsu, H. M. and Chen, C. T. (1996), "Aggregation of Fuzzy Opinions under Group Decision Making," Fuzzy Sets and Systems, Vol.79, No.3, pp.279-285.
48.Hsu, T. H., Chu, K. M., Chan, H. C. and Yang, J. S. (1999), "A Study on Fuzzy Linguistic Scale," IFSA ''99: Proceedings of 8th International Fuzzy Systems Association World Congress, Vol. 2, pp.894-898.
49.Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R. and Mieno, H. (1993), "The Max-Min Delphi Method and Fuzzy Delphi Method via Fuzzy Integration," Fuzzy Sets and Systems, Vol.55, No. 2, pp.241-253.
50.Iwarere L.J. and Williams, J. E. (1991), "A Micro-Market Analysis of Tenue Choice in the Logit Model," The Journal of Real Estate Research, pp.327-339.
51.Kacprzyk, J., Fedrizzi, M. and Nurmi, H. (1992), "Group Decision Making and Consensus under Fuzzy Preference and Fuzzy Majority," Fuzzy Sets and Systems, Vol.49, No.1, pp.21-31.
52.Kain, J. F. and Quigley, J. M. (1972), "Housing Market Discrimination, Home Ownership, and Savings Behavior," American Economic Review, Vol. 62, No. 2, pp.263-277.
53.Kain, J. F. and Quigley, J. M. (1976), "Housing Market and Racial Discrimination: A Microeconomic Analysis," The National Bureau of Economic Research, New York.
54.Kaiser, H. F. (1958), "The Varimax Criterion for Analytic Rotation in Factor Analysis," Psychometrika, Vol. 23, No. 2, pp.187-200.
55.Kaiser, H. F. (1960), "The Application of Electronic Computers to Factor Analysis," Educational and Psychological Measurement, Vol. 20, No. 2, pp.141-157.
56.Kandel, A. and Friedman, M. (1998), "Defuzzification Using Most Typical Values," IEEE Transactions on Systems, and Cybernetics-Part B: Cybernetics, Vol. 28, No.6, pp.901-906.
57.Kassajian, H. H. and Sheffet, M. J. (1981), "Personality and Consumer Behavior: An Update," in Perspectives in Consumer Behavior, ed. Harold H. Kassarjian and Thomas S. Robbertson, (Glenview, Illinois: Scoot, Foresman, pp.160-180.
58.Keeney, R. L. and Raiffa, H. (1976), Decesion with Objectives: Preference and Value Tradeoffs, John Wiley and Sons.
59.Kim, K. J., Moskowitz, H., Dhingra, A. and Evans, G. (2000), "Fuzzy Multicriteria Models for Quality Function Deployment," European Journal of Operational Research, Vol.121, No. 4, pp.504-518.
60.King, A. and Mieszkowski, P. (1973), "Racial Discrimination, Segregation, and the Price of Housing," Journal of Political Economy, Vol. 81, No. 4, pp.590-606.
61.Kmenta, J. (1986), Elements of Econometrics, 2nd ed., Macmillan Publishing Company, New York, pp.550-553.
62.Kristensen, G. (1997), "Women''s Economic Progress and the Demand for Housing: Theory, and Empirical Analysis Based on Danish Data," Urban Studies, Vol. 34, No. 3, pp.403-418.
63.Lancaster, K. J. (1966), "A New Approach to Consumer Theory," Journal of Political Economy, Vol.74, No. 2, pp.132-157.
64.Lau, K. N. and Post, G. V. (1993), "Evaluating Consumer Preferences for Existing Multiattribute Products: A Non-Metric Approach," Decision Science, Vol. 24, No. 2, pp.200-208.
65.Lee, K. M. and Leekwang, H. (1995), "Identification of -Fuzzy Measure by Genetic Algorithms," Fuzzy Sets and Systems, Vol. 75, No.3, pp.301-309.
66.Lee, T. H. (1968), "Housing and Permanent Income: Tests Based on a Three-Year Reinterview Survey," Review of Economics and Statistics, Vol. 50, No. 4, pp.480-490.
67.Lee, T. H. and Kong, C. M. (1977), "Elasticities of Housing Demand," Journal of Southern Economics, Vol. 44, No. 3, pp.298-305.
68.Lee, H. (1996), "Group Decision Making Using Fuzzy Sets Theory for Evaluating the Rate of Aggregative Risk in Software Development," Fuzzy Sets and Systems, Vol.80, No. 2, pp.261-271.
69.Lerman, S. (1977), "Location, Housing, Automobile Ownership, and Mode to Work: A Joint Choice Model," Transportation Research Record,Vol. 610, No. 1, pp.6-11.
70.Lien, C. Y. and Chen, Y. J. (2002), "A Housing Location Choice Model Combined with a Fuzzy Linguistic Scale," International Journal of Fuzzy Systems, Vol. 4, No. 1, pp.648-654.
71.Liu, C., Wang, M. and Pang, Y. (1994), "A Multiple Criteria Linguistic Decision Model (MCLDM) for Human Decision Making," European Journal of Operational Research, Vol.76, No. 4, pp.466-485.
72.Liou, T. and Wang, J. (1992), "Fuzzy Weighted Average: An Improved Algorithm," Fuzzy Sets and Systems, Vol.87, No. 3, pp.307-315.
73.Maddala, G. S. (1989), Limited Dependent and Qualitative Variables in Econometrics, Cambridge University Press, pp.22-46.
74.Maisel, J. J., Burnham, B. and Austin, J. S. (1971), "The Demand for Housing: a Comment," Review of Economics and Statistics, Vol. 53, No. 4, pp.410-413.
75.Man, J. Y. and Bell, M. E. (1996), "The Impact of Local scales Tax on the Value of Owner-Occupied Housing," Journal of Urban Economics, Vol.39, No. 2, pp.114-130.
76.Mayo, S. K. (1981), "Theory and Estimation in Housing Demand," Journal of Urban Economics, Vol. 10, No. 1, pp.95-116.
77.McFadden, D. (1973), "Conditional Logit Analysis and Qualitative Choice Behavior," in Frontiers in Economics, Ed. P. Zaremka, Academic Press, New York, pp.105-142.
78.McFadden, D. (1978), "Modeling the Choice of Residential Location," Transportation Research Record, Vol.673, No. 1, pp.72-77.
79.McFadden, D., and Manski, C. F. (1981), "Econometric Models of Probability Choice and Structural Analysis of Discrete Data with Choice," in C. Manski and D. McFadden, eds., Economic Applications, MIT Press, pp.243-246.
80.McLeod, P. B. and Ellis, J. R. (1983), "Alternative Approaches to the Family Life Cycle in the Analysis of Housing Consumption," Journal of Marriage and the Family, Vol.45, No.3, pp.699-708.
81.Megbolugbe, I. F., Mark, A. P. and Schwartz, M. B. (1991), "The Economic Theory of Housing Demand: A Critical Review," The Journal of Real Estate Research, Vol. 9, No. 3, pp.381-393.
82.Michelson, R. S. (1977), Environmental Choice, Human Behavior and Residential Satisfaction, Oxford: Oxford University Press.
83.Mills, E.S. and Hamilton, B. W. (1994), Urban Economics, 5th ed., Harper Collins College Publishers, NY.
84.Murray, T. J., Pipino, L. L. and Gigch, J. P. (1985), "A Pilot Study of Fuzzy Set Modification of Delphi," Human Systems Management, Vol. 47, No. 1, pp.76-80.
85.Muth, R. (1960), "The Demand for Nonfarm Housing," A.C. Harberger, ed., The Demand for Durable Goods, University of Chicago Press.
86.Muth, R. (1969), City and Housing, University of Chicago Press, Chicago, ILL.
87.Olsson, U., Drasgow, F. and Dorans, N. J. (1982), "The Polymeric Correlation Coefficient", Psychometrika, Vol.47, No. 3, pp.337-347.
88.Payne, J. W. (1982), "Contingent Decision Behavior," Psychological Bulletin, Vol. 92, No. 3, pp.382-402.
89.Quigley, J. M. (1976), "Housing Demand in the Short Run: An analysis of Polytomous Choice," Economic Research, Vol. 3, No. 1, pp.76-102.
90.Quigley, J. M. (1985), "Consumer Choice of Dwelling, Neighborhood and Public Services," Regional Science and Urban Economics, Vol. 15, No. 1, pp.41-63.
91.Reid, M. G. (1962), Housing and Income, University of Chicago published.
92.Richardson, R. A. (1971), Urban Land Economics and Public Policy, The Free Press Collier Macmillan LTD.
93.Rider R. and Henning, J. (1967), "The Determinants of Residential Property Value with Special References to Air Pollution," The Review of Economics and Statistics, Vol. 49, No. 2, pp.147-157.
94.Robbins, S. P. and DeCenzo, D. A. (1998), Fundamentals of Management: Essential Concepts and Applications, Upper Saddle River, N.J.: Prentice Hall.
95.Robinson, R. (1979), Housing Economics and Public Policy, The Macmillan Press.
96.Rosen S. (1974), "Hedonic Prices and Implicit Markets: Product Differentiation Pure Competition," Journal of Political Economy, Vol.32, No. 1, pp.34-35.
97.Rouwendal, J. (1988), Discrete Choice Models and Housing Market Analysis, Ph.D. Dissertation, Free University (Vrije Universiteit), Amsterdam.
98.Saaty, T. L. (1980), The Analytic Hierarchy Process, McGraw-Hill, New York.
99.Scheaffer, R. L., Mendenhall, W. and Ott, L. Y. (1990), Elementary Survey Sampling, Boston: PWS-KENT.
100.Seko, M. (1991), "The Effect of Inflation on Japanese Homeownership Rates: Evidence from Time-Series," Economic Studies Quarterly, Vol. 42, No. 2, pp.155-163.
101.Shalton, J. P. (1968),"The Cost of Renting Versus Owning a House," Land Economics, Vol. 44, No. 1, pp.59-72.
102.Sugeno, M. (1972), "Fuzzy Measure and Fuzzy Integral," Transactions of Society of Instrument and Control Engineers, Vol. 8, No. 2, pp.218-226.
103.Small, K. A. and Rosen, H. S. (1981), "Applied Welfare Economics with Discrete Choice Models," Econometrica, Vol. 49, No. 2, pp.105-130.
104.Tam, C. M. and Fung, W. H. (1996), "Assessing Safety Performance by Fuzzy Reasoning," Asia Pacific Building and Construction Management Journal, Vol.2, No.1, pp.6-13.
105.Tanaka, H., Uejima, S. and Asai, K. (1982),"Linear Regression Analysis with Fuzzy Model," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 12, No. 6, pp.903-907.
106.Tanaka, K. (1997), An Introduction to Fuzzy Logic for Practical Applications, Springer-Verlag, Rassel, Inc., Japan.
107.Tiebout, C. (1956), "A Pure Theory of Local Expenditure," Journal of Political Economy, Vol. 64, No.4, pp.416-424.
108.Tong, M. and Bonissone, P. P. (1980), "A Linguistic Approach to Decision Making with Fuzzy Sets," IEEE Transactions on Systems, Man, Cybernetics, Vol.10, No. 5, pp.716-723.
109.Timmermans and Noortwijk (1995), "Context Dependencies in Housing Choice Behavior," Environment and Planning, Vol. 27, No. 2, pp.181-192.
110.Tu, Y. (1994), "Modeling Household Housing Choice Behavior: some Conception Discussions," The First Annual Conference Paper of Asian Real Estate Society.
111.Tversky, A. and Kahneman, D. (1979), "Preference Trees," Psychological Review, Vol.86, No. 4, pp.542-573.
112.Van Laarhoven, P. J. M. and Pedrycz, W. (1983), A fuzzy extension of Saaty''s.
113.Waddell, P. (1989), Factors Determining Household choices of Residence, Workplace and Housing Tenure, Ph.D. Dissertation, University of Texas at Dallas.
114.Wheaton, W. C. (1977), "A Bit Rent Approach to Housing Demand," Journal of Urban Economics, Vol. 4, No. 2, pp.200-217.
115.William, Linda B. (1990), Development, Demography, and Family Decision-Making: the Status of Women in Rural Java, Westview Press, pp.9-98.
116.Xu, R. and Zhai, X. (1992), "Extensions of the Analytic Hierarchy Process in Fuzzy Environment," Fuzzy Sets and Systems, Vol. 52, No. 2, pp.251-257.
117.Yager, R. R. (1981), "A New Methodology for Ordinal Multiobjective Decisions Based on Fuzzy Sets," Decision Science, Vol.12, No. 4, pp.589-600.
118.Zadeh, L. A. (1965), "Fuzzy Set," Information and Control, Vol.8, pp.338-353.
119.Zadeh, L. A. (1975), "The Concept of a Linguistic Variable and its Application to Approximate Reasoning, I, II, III," Information Science, Vol. 8, pp.199-251, pp.301-357; Vol. 9, pp.43-80.
120.Zadeh, L. A. (1993), "Outline of a New Approach to the Analysis of Complex Systems and Decision Processes," IEEE Transactions on Systems, Man, Cybernetics, Vol. 23, No. 1, pp.28-44.
121.Zadeh, L. A. (1994), "The Concept of a Linguistic Variable and its Applications to Approximate Reasoning," Fuzzy Sets and Systems, Vol. 68, No. 1, pp.1-11.
122.Zimmerman, H. J. (1985), Fuzzy Sets Theory and Its Applications, Kluwer-Nijhoff, Boston, pp.121.
123.Zimmerman, H. J. (1987), Fuzzy Sets, Decision Making, and Expert Systems, Kluwer Academic Publishers, Boston, pp.23-41 & 176.
124.Zimmermann, H. J. (1991), Fuzzy Set Theory and Its Applications, Kluwer Academic Publishers, Norwell, Massachusetts, U.S.A.
（三）日文部分
1.小川圭一(1999)，「使用模糊積分型效用函數之路徑選擇行為模型」，日本模糊會誌，第11卷第4期，第690至694頁。
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
:::
無相關著作
 
無相關點閱
 
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：536（臺灣：521，外國：15） ／ 本年度總使用人次：1451226 ／ 訪客人次（自102年09月）：67262517
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上