中文部分
王文俊(2005)。認識Fuzzy-第三版（頁2-1~5-31）。台北：全華科技。
江建良(2004)。統計學（頁430-470）。台北：普林斯頓。
江哲光、侯杰泰（1997）。應用結構方程模式之問題和謬誤。當代華人教育學報，25（1），45-61。
李秀穗(2003)。大專院校體育室主管的工作負荷因應方式與職業倦怠關係之研究。未出版之碩士論文，國立體育學院體育研究所，台北市。
李茂能(2008)。SEM適配度指標的潛藏問題：最佳模式難求。測驗統計年刊，16，17-30。
李鴻毅(2005)。傳統線性迴歸與模糊線性迴歸在預測方面應用的比較。未出版之碩士論文，國立台灣科技大學工業管理系，台北市。
吳柏林(1996)。社會科學研究中的模糊邏輯與模糊統計分析。中國統計通訊，7（11），14-27。
吳柏林(2004)。模糊統計分析：問卷調查研究之新方向。國立政治大學研究通訊，2，65-80。
吳柏林(2005)。模糊統計導論：方法與應用。台北：五南。
林原宏(2002)。模糊語意變數的多準則評量之研究。國立台中師範學院學報，16，451-470。
林原宏(2004)。心理測驗與統計-模糊語意差異。教育研究，126，136-138。
林原宏(2007)。模糊理論在社會科學研究的方法論之回顧。αβγ量化研究學刊，1(1)，53-83。
邱皓政(2011)。當PLS遇上SEM：議題與對話。αβγ量化研究學刊，3(1)，20-53。
香港教育專業人員協會(2005)。教師工作壓力調查報告。取自http://www.hkptu.org/mainindex.php？content=/anti-stress/index. htm.
侯文傑(2013)。國民中學教師倦怠感之研究－工作要求與資源模式之驗證。未出版之碩士論文，國立嘉義大學教育學系，嘉義。
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，51，27-51。
莊宗南、張嘉良(2009)。應用模糊理論於港埠地區觀光發展方向之研究。國立台南大學「環境與生態學報」，2(2)，61-89。
郭泰平(2001)。國民中學教師對教育改革工作壓力及因應策略之研究。未出版之碩士論文，國立高雄師範大學教育學系研究所，高雄。
陳蓮妃(2003)。國民中學訓導主任工作負荷與職業倦怠關係之研究。未出版之碩士論文，國立高雄師範大學教育學系研究所，高雄。
溫金豐、崔來意(2001)。高科技公司女性專業人員工作－家庭衝突及工作倦怠之研究：社會支持的效應。管理評論，20(4)，65-92.
黃元鶴(2007)。期刊引用影響指標之結構方程模式分析：以圖書資訊領域為例。教育資料與圖書館學，44(3)，259-273。
黃芳銘(2006)。社會科學統計方法學─結構方程模式。台北，五南。
黃芳銘(2007)。結構方程模式理論與應用（五版）。台北，五南。
黃芳銘、李俊賢、陳銘峰(2011)。嘉義縣國民中學教師工作倦怠量表。未出版，國立嘉義大學教育學系，嘉義。
楊敏生(1994)。模糊理論簡介。數學傳播，18(1)，1-5。
楊敏生、劉曼君(1996)。可能性理論淺介。數學傳播，20(3)，13-16。
楊婉君(2003)。模糊迴歸與傳統迴歸應用於估計潛在特質之模擬比較分析研究。未出版之碩士論文，國立台中師範學院教育測驗統計研究所，台中。
楊榮宗(2011)。工作要求、工作資源、工作倦怠、組織承諾及組織公民行為關係模式建構之研究。未出版之博士論文，國立高雄師範大學工業科技教育學系研究所，高雄。
寧祿喬(2006)。PLS算法研究。未出版之博士論文，天津大學管理科學與工程，天津。
潘瑛如、方崇雄(2010)。部分最小平方路徑分析法在教育研究上的應用。研習資訊，27(5)，95-108。
劉雅惠(2010)。中彰地區國民中小學教師工作壓力、工作價值觀與工作倦怠之相關研究。未出版之博士論文，國立台中教育大學教育學系，台中。
廖相如(2003)。桃竹苗四縣市國民小學教師成就動機、制握信念與工作倦怠關係之研究。國立新竹師範學院國民教育研究所論文集，8，99-125。
蕭文龍(2013)。統計分析入門與應用（頁15-1~15-14）。台北：碁峰資訊。
謝明娟、吳柏林(2012)。模糊統計在試題難度上的應用。教育心理學報，44(2)，207-228。
謝茂水(2003)。國中教師對教育改革工作壓力與其因應策略之研究。未出版之碩士論文，致遠管理學院，台南。
闕頌廉(2001)。應用模糊數學（頁1~5、191-209）。台北：科技圖書。
顏耀南(2002)。教師職業倦怠相關變項之後設分析研究。未出版之碩士論文，國立中正大學教育研究所，嘉義。
外文部分
Adoock, R., &; Collier, D. (2001). Measurement validity: A shared standard for qualitative and quantitative research. American Political Science Review, 95, 529-546.
Agresti, A., &; Finlay, B. (1997). Statistical Methods for the Social Sciences (3rd). Prentice-Hall International, Inc.
Alefeld, G., &; Herzerberger, J. (1983). Introduction to Interval computation, New York: Academic Press.
Alwin, D. F., &; Hauser, R. M. (1975). The Decomposition of Effects in Path Analysis. American Sociological Review, 40(1), 37-47.
Amato, S., &; Palambo, F. (2004). Multidimensional gap analysis. Statistica Applicata, 16(3), 265-283.
Amato, S., Vinzi, V. E., &; Tenenhaus, M. (2005). A global goodness-of-fit index for pls structural equation modeling. Technical report, HEC School of Management, France.
Antonovski, A. (1987). Untraveling the mystery of health. How people manage stress and stay well. San Francisco OA:Jossey-Bass.
Arifin, F., Troena, E. A., Djumahir, &; Rahayu, M. (2014). Organizational Culture, Transformational Leadership, Work Engagement and Teacher’s Performance : Test of a Model. International Journal of Education and Research, 2(1), 1-14.
Arna, V. (2013). Peer effects and academic achievement: a regression discontinuity approach. Economics of Education Review, 36(3), 108-121.
Bagozzi, R. P., &; Phillips, L.W. (1982). Representing and testing organizational theories:A holistic construal. Administrative Science Quarterly, 27(3), 459-489.
Bagozzi, R. P. (1984). A prospectus for theory construction in marketing. Journal of Marketing, 48, 11-29.
Bahia, K., &; Nantel, J. (2000). A reliable and valid measurement scale for the perceived service quality of banks. International Journal of Bank Marketing, 18(2), 84-91.
Bakker, A. B., &; Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22 309-328.
Bakker, A. B., Demerouti, E., &; Euwema, M. (2005). Job resources buffer the impact of job demands on burnout. Joural of Occupational Health Psychology, 10, 170-180.
Bakker, A. B., Demerouti, E., de Boer, E., &; Schaufeli, W. B. (2003). Job demands and job resources as predictor of absence duration and frequency. Journal of Vocational Behavior, 62, 341-356.
Bakker, A. B., Demerouti, E., &; Verbeke, W. (2004). Using the job demands Demands-Resources Model to predict burnout and performance. Human Resource Mangement, 43, 83-104.
Bardossy, A. (1990). Note On Fuzzy Regression. Fuzzy Sets and Systems, 37, 65-75.
Baron, R. M., &; Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality &; Social Psychology, 51, 1173-1182.
Basaran, A., Simonetti, B., &; D’ambra, L. (2011). On Fuzzy Regression Adapting Partial Least Squares. Journal of Applied Quantitative Methods, 6(1), 14-22.
Bentler, P. M. (1990). Comparative Fit Indexes in Structural Models. Psychological Bulletin, 107 (2), 238-46.
Bilgiç, T., &; Turksen, I. B. (2000). Measurement of Membership Functions: Theoretical and Empirical Work. Fundamentals of Fuzzy Sets, Kluwer. 195-232.
Blackman, I. (2001). A predictive model identifying latent variables, which influence undergraduate student nurses’ achievement in mental health nursing skills. International Education Journal, 2(4), 53-64.
Blackman, I., Hall, M., &; Darmawan, I. G. N. (2007). Undergraduate nurse variables that predict academic achievement and clinical competence in nursing. International Education Journal, 8(2), 222-236.
Blasé, J. J. (1982). A social-psychological grounded theory of teacher stress and burnout. Educational Administration Quarterly, 18(4), 29.
Bollen, K. A. (1989). Structural equations with latent variables. New York: John Wiley &; Sons,Inc.
Bollen, K., &; Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 110(2), 305-314.
Bollen, K. A., &; Long, J. S. (1993). Testing structural equation models. Newbury Park, CA: Sage.
Boyd, S., &; Vandenberghe, L. ( 2004). Convex optimization. United Kingdom: Cambridge University Press.
Bozdogan, H. (2004). Intelligent satistical data mining with infrmation complexitg and genetic algorithms. Statistical Data Mining and knowkedge Discoverg, CRC Press, Chater2, 15-56.
Braun, D., Mayberry, J., Powers, A., &; Schliker, S. (2003). The Geometry of the Hausdorff Metric. available at http://faculty.gvsu. edu/schlicks/Hausdorff_paper.pdf.
Camminatiello, I., Paletta, A., &; Speziale, M. T. (2012). The effects of school-based management and standards-based accountability on student achievement: evidence from PISA 2006. Electronic Journal of Applied Statistical Analysis, 5(3), 381-386.
Cassel, C., Hackl P., &; Westlund, A. (1999). Robustness of partial least squares method for estimating latent variable quality structures. Journal of Applied Statistics, 26(4), 435-446.
Cherniss, C. C. (1980). Staff burnoul: Job stress in the human service. Beverly Hills, CA: Sage, 185.
Chen, Y. S. (2001). Outlier decetion and confidence interval modification in fuzzy regression. Fuzzy Sets and Systems, 119, 259-272.
Chen, C. F., &; Kao, Y. L. (2012). Investigating the antecedents and consequences of burnout and isolation among flight attendants. Tourism Management, 33, 868-874.
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business re-search(pp.295-336), London: Lawrence Erlbaum Associates.
Chin, W. W., Marcolin, B., &; Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronicmail emotiopn/adoption study. Information Systems Research, 14(2), 189-217.
Chin, W. W., &; Newsted, P. R. (1999). Structural equation modelling analysis with small samples using partial least squares. In R. H. Hoyle(Ed.), Statistical strategies for small sample research(pp.307-341), Thousand Oaks, CA: Sage Publications.
Cliff, N. (1983). Some cautions concerning the application of causal modeling methods. Multivariate Behavioral Research, 18, 115-126.
Cordes, L. C., &; Dougherty, W. D. (1993). A review and an integration of research on job burnout. Academy of Management Review, 18(4), 621-656.
Cuieford, P. (1965). Fundamental Statistical in Psychology and Education, 4th ed. New York:Mcgrain Hill.
Demerouti, E., &; Bakker, A. B. (2011). The job demands–resources model: Challenges for future research. The SA Journal of Industrial Psychology, 37, 2.
Demerouti, E., Bakker, A. B., Nachreiner, F., &; Schaufeli, W. B. (2001). The job demands model of burnout. Journal of Applied Psychology, 86, 502.
Diamantopoulos, A. (1994). Modelling with LISREL:A guide for the uninitiated. Journal of marketing management, 10(1-3), 105-136.
Diamond, P. (1988). Fuzzy least squares. Information Science, 46(3). 141-157.
Dijkstra, T. (1983). Some comments on maximum likelihood and partial least squares methods. Journal of Econometrics, 22(1-2), 67-90.
Draper, N. R., &; Smith, H. (1981). Applied regression analysis(2nd ed). New York：John Wiley.
Drucker, P. F. (1993). Post-capitalist society. New York: Harper Business.
Dubois, D., &; Prade, H. (1980). Fuzzy sets and systems: Theory and applications. New York: Academic Press.
Esposito, V. V., Romano, R., &; Trinchera, L. (2007). Fuzzy PLS path modeling for latent class analysis: Capturing unobserved heterogeneity in consumers' preferences. Atti del convegno "ISBIS", Portogallo, 2007.
Esposito, V. V., Trinchera, L., &; Amato, S. (2010). PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement(pp.47-82), Handbook of Partial Least Squares, Berlin Heidelberg: Springer.
Everitt, B. S. (1984). An Introduction to Latent Variable Models(pp.17-22). Chapman and Hall: Landon.
Fan, K. K., Su, C. H., Deng, S. Y., &; Wang, W. J. (2013). An Achievement Prediction Model of Meaningful Learning, Motivation, and Cognitive on SPANI: Partial Least Square Analysis. Mathematical Problems in Engineering Volume 2013, 1-11.
Fernet, C., Austin, S., Trepanier, S. G., &; Dussault, M. (2013). How do job characteristics contribute to burnout? Exploring the distinct mediating roles of perceived autonomy, competence, and relatedness. European Journal of Work and Organizational Psychology, 22(2), 123-137.
Ferreira, J. J., Raposo, M. L., Rodrigues, R. G., Dinis, A., &; Pac¸o, A. D. (2012). A model of entrepreneurial intention An application of the psychological and behavioral approaches. Journal of Small Business and Enterprise Development, 19(3), 424-440.
Fornell, C. (1982). A second generation of multivariate analysis: An overview. In: C. Fornell (Ed.), A second generation of multivariate analysis (Vol. 1, pp. 1-21). New York, NY: Praeger.
Fornell, C. R., &; Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-50
Fornell, C., &; Bookstein, F. L. (1982). Two structural equation models: Lisrel and pls appliead to consumer exit -voice theory. Journal of Marketing Research 19, 440-452.
Fornell, C., &; Cha, J. (1994). Partial least squares. In R. P. Bagozzi (Ed.),Advanced methods of marketing research. 52-78.
Fox, M. L., Dwyer, D. J., &; Ganster, D. C. (1993). Effects of stressful job demands and control on physiological and attitudinal outcomes in a hospital setting. Academy of Management Journal, 36(2), 289-318.
Freudenberger, H. J. (1974). Staff burnout. Journal of Social Issues Issues, 30(1), 159-165.
Garthwaite, P. H. (1994). An interpretation of partial least squares. Journal of the American Statistical Association, 89,122-127.
Ghasemian, J., Moallem, M., &; Alipour, Y. (2014). Predicting students’ grades using fuzzy non-parametric regression method and ReliefF-based algorithm. ACSIJ Advances in Computer Science: an International Journal, 3(2), 43-51.
Golembiewski, R. T., Munzenrider, R., &; Stevenson, J. G. (1988). Stress in organizations: Toward a phase model of burnout. New York: Praeger.
Grassia, M. G., Lauro, N. C., &; Scepi, G. (2004). Lanalisi dei dati ad intervallo nell ambito della qualita. In C. Davino &; N. C. Lauro, (Eds.), Data mining e analsi simbolica(pp.65-79). Franco Angeli, Milano.
Gujarati, D. N. (2003). Basic econometrics. McGraw-Hill: New York.
Hair, J. F. J., Anderson, R. E., Tatham, R. I., &; Black, W. C. (1998). Multvariate Data Analysis. (5th ed.) Prentice-Hall: Englewood Cliffs.
Hair, J. F., Ringle, C. M., &; Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-151.
Hakanen, J. J., Bakker, A. B., &; Schaufeli, W. B. (2006). Bounout and work engagement among teachers. Journal of School Psychology, 43, 495-513.
Hansmann, K. W., &; Ringle, C. M. (2005). Strategies for cooperation. In T. Theurl &; E. C. Meyer (Eds.), Competitive advantage of the cooperatives' networks(pp.131-152) Aachen: Shaker.
Hansen, N., Sverke, M., &; Näswall, K. (2009). Predicting burnout from demands and resources at three hospitals run with different ownership types: A questionnaire study among nurses. International Journal of Nursing Studies, 46, 95-106.
Harrison, W. D. (1983). A social competence model of burnout. In B.A.Farber(ed). Stress and burnout in the human service professions(pp.31). New York: pergamon.
Henseler, J., &; Fassott, G. (2010). Testing moderating effects in PLS path models: An illustration of available procedures. In V. Esposito Vinzi, W. W. Chin, J.Henseler, and H. Wang (Eds), Handbook of Partial Least Squares (pp. 713-735),Heidelberg: Springer.
Herrera, F., &; Herrera, V. E. (2000). Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets and Systems, 115(1), 67-82.
Heshmaty, B., &; Kandel, A. (1985). Fuzzy Linear Regression and Its Applications to Forecasting in Uncertain Environment. Fuzzy Sets and Systems, 15, 159-191.
Hisdal, E. (1988). Are grades of membership probabilities？Fuzzy Sets and Systems, 25, 325-348.
Hobfoll, S. E. (1989). Conservation of resources: A new approach at conceptualizing stress. American Psychologist, 44, 513-524.
Hobfoll, S. E., &; Freedy, J. (1993). Conservation of Resources:A General stress Theory Applied to Burnout.In Schaufeli, W. B., Maslach, C., &; Marek, T. Professional Burnout:Recent Development in Theory and Research(pp.115-129).Washington, DC: Taylor and Francis.
Hobfoll, S. E., &; Shirom, A. (2001). Conservation of resources theory: Applications to stress and management in the workplace. In R. T. Golembrewski(Ed). Handbook of organizational behavior(pp.60). New York: Marcel Dekker.
Howie, S. J. (2003). Conditions of schooling in south africa and the effects on mathematics achievement. Studies in Educational Evaluation, 29, 227-241.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic Management Journal, 20(2), 195-204.
James, V. H., &; Yates, S. M. (2009). University students’ personal achievement goals and perceptions of tutorial goal structures, in The Student Experience, Proceedings of the 32nd HERDSA Annual Conference, Darwin, 6-9 July 2009: pp 230-240.
Janssen, P. M., Peeters, C. W., Jonge de Jonge, Inge Houkes, &; Tummers, E. R. (2004). Specific relationships between job demands, job resources and psychological outcomes and mediating role of negative work-home interference. Journal of Occupational Stress. 3(1), 63-77.
Johnson. J. V., &; Hall, E. M.(1988). Job strain, work place social support, and cardiovascular disease: A cross cross-sectional study of a random sample of the Swedish working population. American Journal of Public Health, 78(10), 1336.
Joreskog, K. G. (1993). Testing structural equation models. In K. A. Bollen &; J. S. Long (Eds.), Testing structural equation models.(pp. 294-316.) Newbury Park: Sage.
Jöreskog, K. G., &; Sörbom, D. (1993). LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language. Chicago, IL: Scientific Software International Inc.
Kacprzyk, J., &; Fedrizzi, M. (1992). Fuzzy regression analysis. Warsaw: Springer-Verlag.
Kao, C., &; Chyu, C. L. (2002). A fuzzy linear regression model with better explanatory power. Fuzzy Sets and Systems, 126, 401-409.
Kaplan, D. (2000). Structural equation modeling: Foundations and extensions, Thousands Oaks, CA: sage Publications Inc.
Karaek, R. A. (1979). Job decision latitude, and mental strain: Implications for .job redesign. Administrative science Quarterly,24 (2), 288.
Karasek, R. A., &; Theorell, T. (1990). Healthy work: Stress, productivity, and the reconstruction of working life. New York: Basic Books.
Kerlinger, F. N. (1986). Foundations of behavioral research (3rd.). Fort Worth, TX: Holt, Rinehart, and Winston
Kim, K. J., Moskowitz, H., &; Koksalan, M. (1996). Fuzzy versus statistical linear regression. European Journal of Operational Research, 92, 417-434.
Kline, R. B. (1998). Principles and practices of structural equation modeling. New York: Guilford Press.
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford Press.
Kosko, B. (2004)。模糊的未來─從社會、科學到晶片中的天堂（陳雅雲譯）。台北：究竟。（原著出版於1999）。
Landsbergis, P. A., Schnall, P. L., Deitz, D., Friedman, R., &; Pickering, T. (1992). The patterning of psychological attributes and distress by “job strain” and social support in a sample of working men. Journal of Behavioral Medicine, 15, 379-405.
Lee, R. T., &; Ashforth, B. E. (1996). A meta-analytic examination of correlations of the three dimensions of burnout. Journal of Applied Psychology, 81, 123-133.
Lewig, K. A., Xanthopoulou, D., Bakker, A. B., Dollard, M. F., &; Metzer, J. C.（2007）. Burnout and connectedness among Australian volunteers: A test of the Job Demands-Resources modle. Journal of Vocational Behavior, 71(3), 429-445.
Llorens, S., Bakker, A. B., Schaufeli, W. B., &; Salanova, M.（2006）. Testing the robustness of the job demands-resources modle. International Journal of Stress Management, 14(2), 224-225.
Lohmoller, J. B. (1989). Latent variable path modeling with partial least squares. Heidelberg: Physica-Verlag.
Lu, L., Kao, S. F., Siu, O. L., &; Lu, C. Q. (2010). Work stressors, Chinese coping strategies, and job performance in the Greater China. International Journal of Psychology, 45, 294-302.
Lu, L., Siu, O. L., &; Lu, C. Q. (2010). Does loyalty protect Chinese workers from stress? The role of affective organizational commitment in the Greater China region. Stress and Health, 26, 161-168.
Mabed, M., &; Köhler, T. (2012). The Impact of Learning Management System Usage on Cognitive and Affective Performance. Gemeinschaften In Neuen Medien, 12, 273-284.
Marcoulides, G. A., Chin, W. W., &; Saunders, C. (2009). A critical look at partial least squares modeling. MIS Quartery, 33(1), 171-175.
Marsh, H. W., Hau, K. T., Balla, J. R., &; Grayson, D. (1998). Is more ever too much? The number of indicators per factor in confirmatory factor analysis. Multivariate Behavioral Research, 33, 181-220.
Martinussen, M., Richardsen, A. M., &; Burke, R. J.（2007）.Job demands, job resources, and burnout among police. Journal of Criminal Justice, 35(3), 239-249.
Maslach, C. (1982). Understanding burnout: Definitional issues in analyzing a complex phenomenon. In Pine, W. S. (Ed.), Job stress and burnout: Research, theory, and intervention perspectives. Beverly Hill, CA: Sage Publications.
Maslach. C., &; Jackson, S. (1981). Themeasurement of experienced burnout. Journal of Organizational Behavio Behavior, 2(2), 99-113.
Maslach, C., &; Jackson, S. E. (1996). Maslach burnout inventory manual(3rd ed.). Palo Alto:Consuling Psychlolgists Press.
McCall, B. P., &; Bielby, R. M. (2012). Regression discontinuity design: Recent developments and a guide to practice for researchers in higher education. Higher Education: Handbook of Theory and Research, 27, 249-290.
Mcdonald, R. (1996). Path analysis with composite variables. Multivariate Behavioral Research. 31(2), 239-270.
Moskowitz, H., &; Kim, K. (1993). On assessing the H value in fuzzy linear regression. Fuzzy Sets and Systems 58, 303-327.
Mueller, R, O. (1996). Basic principles of structural equation modeling : An introducation to LISREL and EQS. New York: Springer.
Munck, G. I., &; Verkuilen, J. (2003). The electoral democyacy index. Unpoblished manuscript, University of Soutbern California. Los Angeles.
Novak, V. (2005). Are fuzzy sets a reasonable tool for modeling vague phenomena? Fuzzy Sets and Systems, 156, 341-348.
Nunnally, J. C. (1978). Psychometric Theory. McGraw-Hill Inc., New York
Palumbo, F., &; Irpino, A. (2005). Multidimensional interval-data: Metrics and factorial analysis, Proceedings of the ASMDA, 689-698.
Palumbo, F., &; Romano, R. (2008). Possibilistic PLS path modeling: a new approach to the multigroup comparison. Atti del convegno "COMPSTAT 2008", Portogallo, 2008, Physica-Verlag: Heildeberg, 2008, 303-314.
Palumbo, F., Romano, R., &; Esposito, V. V. (2007). Fuzzy PLS path modeling for crisp and interval data: a new tool for handling sensory data. Atti del convegno "GFKL'07", Freiburg (Germany), 2007.
Palumbo, F., Romano, R., &; Esposito Vinzi, V. (2008). Fuzzy PLS path modeling: a new tool for handling sensory data. In Data Analysis, Machine Learning and Applications, Berlin Heidelberg: Springer-Verlag, 2008, Studies in Classification, Data Analysis and Knowledge Organization, 689-696.
Paola, M. D., &; Scoppa, V. (2014). The Effectiveness Of Remedial Courses In Italy: A Fuzzy Regression Discontinuity Design. Journal of Population Economics, 27(2), 365-386.
Parkes, K. R., Mendham, C. A., &; von Rabenau, C. (1994). Social support and the demand-discretion model of job stress: Tests of additive and interactive effects in two samples. Journal of Vocational Behavior, 44, 91-113.
Peters, G. (1994). Fuzzy linear regression with fuzzy intervals. Fuzzy Sets Systems, 63(1), 45-55.
Petter, S., Straub, D., &; Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(4), 623-656.
Pulkka, A. T., &; Niemivirta, M. (2013). Predictive relationships between adult students’ achievement goal orientations, course evaluations, and performance. International Journal of Educational Research, 61, 26-37.
Ragin, C. C. (2000). Fuzzy set social science. Chicago: The University of Chicago.
Redden, D. T., &; Woodall, W. H. (1994). Properties of certain fuzzy linear regression methods. Fuzzy Sets and System, 64, 361-375.
Richter, P., &; Hacker, W. (1998). Stress,fatigue,and burnout in working life. Workload and strain. Heidelberg, Germany:Asagner.
Romano, R. (2006). Fuzzy Regression and PLS Path Modeling: a combined two-stage approach for multi-block analysis. Tesi di Dottorato in Statistica. XIX Ciclo.
Romano, R., &; Palumbo, F. (2006). Classiffication of structural equation models based on fuzzy regression. Atti del convegno "Knemo", Anacapri, 2006.
Rudow, B. (1999). Stress and burnout in the teaching profession: European studies, issues, and research perspectives. In A. M. Huberman (Ed.), Understanding and preventing teacher burnout: A sourcebook of international research and practice(pp.38–58). New York7 Cambridge University Press
Sakawa, M., &; Yano, H. (1992). Multiobjective fuzzy linear regression analysis for fuzzy input-output data. Fuzzy Sets and System, 47, 173-181.
Schaufeli, W. B., &; Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25, 293-315.
Shirom, A. (1989). Burnout in work organizations, In C.L. Cooper &; I. Robertson(Eds.), International Review of Industrial-Organizational Psychology, 25-48, New York Wiley.
Smithson, M., &; Verkuilen, J. (2012)。模糊集合理論在社會科學中的應用（林宗弘譯）。上海：格致。（原著出版於2006）。
Sutanto, E. M., &; Eliyana, A. (2014). The study of entrepreneurial characteristics with achievement motivation and attitude as the antecedent variables. International Refereed Research Journal,5(4), 125-134.
Taheri, S. M. (2003). Trends in fuzzy statistics. Austrian Journal of Statistics, 32(3), 239-257.
Tanaka, H., &; Guo, P. (1999). Possibility data analysis for operation research . New York: Physica-Verlag.
Tanaka, H., Uejima, S., &; Asai, K. (1982). Linear regression analysis with fuzzy model. IEEE Trans. Syst, Man, Cybern., SMC-12, 903-907.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., &; Lauro, C. (2005). Pls path modeling. Computational Statistics and Data Analysis, 48, 159-205.
Tomarken, A. J., &; Waller, N. G. (2003). Potential problems with well fitting models. Journal of Abnormal Psychology, 112(4), 578-598.
Tomarken, A. J., &; Waller, N. G. (2005). Structural equation modeling: Strengths, Limitations, and Misconceptions. The Annual Review of Clinical Psychology, 1,31-65.
Trinchera, L., Romano, R., &; Esposito, V. V. (2007). Fuzzy PLS Path Modeling for Latent Class Analysis. Atti del convegno "GFKL'07", Freiburg (Germany), 2007.
Wang, H. F., &; Tsaur, R. C. (2000). Insight of a fuzzy regression model. Fuzzy Sets and Systems, 112, 355-369.
Wang, Y., Buermann, W., Stenberg, P., Smolander, H., Ha¨me, T., Tian, Y., et al. (2004). Hyperspectral remote sensing of vegetation canopy: Leaf area index and foliage optical properties. Remote Sensing of Environment, 85, 304-315.
Wixom, B. H., &; Waston, H. J. (2001). An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly, 25, (1), 17-41
Wold, H. (1975). Modelling in complex situations with soft infromation, in ‘Third World Congress of Econometric Society’, Toronto, Canada.
Wold, H. (1982). Soft modeling: the basic design and some extensions, in K. G. Joreskog &; H. Wold, eds, Systems under Indirect Observation, Vol. Part II, North-Holland, Amsterdam, 1-54.
Wu, B., &; Chen, M. (1999). Use fuzzy statistical methods in change periods detection. Applied Mathematics and Computation, 99, 241-254.
Wu, B., &; Tseng, N. F. (2002). A new approach to fuzzy regression model with application to business cycle analysis. Fuzzy Sets and systems. 130, 33-42.
Xanthopoulou, D., Bakker, A. B., Dollard, M. F., Demerouti, E., Schaufeli, W. B., Taris, A. W., &; Schreurs, P. J. G. (2007). When do job demands particularly predict burnout?: the moderating role of job resources. Journal of Managerial Psychology, 22(8), 766-786.
Xanthopoulou, D., Bakker, A. B., Demerouti, E., &; Schaufeli, W. B. (2007). The role of personal resources in the job demands-resources model. International Journal of Stress Management, 14, 121-141.
Yong, Z., &; Yue, Y. (2007). Causes for burnout among secondary and elementary school teachers and preventive strategies. Chinese Educational and Society, 40(5), 78-85.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338-353.
Zadeh, L. A. (1973). ‘Outline of a new approach to the analysis of complex systems and decision processes’, IEEE Trans. Systems Man and Cybernet 1, 28-44.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning–I. Information Scientific, 8, 199-249.
Zadeh. L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and System, 1, 3-28
Zadeh, L. A. (1995). Probability theory and fuzzy logic are complementary rather than competitive. Technometrics, 37, 271-276.
Zimmermann, H. J. (1996). Fuzzy set theory and its applications. Dordrecht: Kluwer Academic Press.
Zis, P., Anagnostopoulos, F., &; Sykioti, P. (2014). Burnout in medical residents: A study based on the job demands-resources model. The Scientific World Journal, 2014, 1-10.