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：應用模糊多準則決策分析與模糊集群方法探討綠色工程產業發展策略之研究
作者：邱華凱
作者(外文)：Hua-Kai Chiou
校院名稱：國立交通大學
系所名稱：科技管理研究所
指導教授：曾國雄
學位類別：博士
出版日期：2005
主題關鍵詞：永續發展；多目標決策；模糊理論；模糊積分；模糊集群分析；資源配置；綠色工程；Sustainable Development；Multi-Criteria Decision Analysis；Fuzzy Set Theory；Fuzzy Integral；Fuzzy Classification；Resource Allocation；Green Engineering
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(1) 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:1
  • 共同引用共同引用:0
  • 點閱點閱:46
自從1987年聯合國世界環境與發展委員會揭示「我們共同的未來」報告，強調人類永續發展的概念，及至1992年聯合國環境規劃委員會通過了「二十一世紀議程」及許多重要文件以來，「永續發展」已成為政府與企業追求生存與經營管理之新思維及努力方向，以整合經濟、環境、社會及文化，追求滿足當代及未來世代的優質生活。
為了反應環境保護政策與法規之要求，如何設計符合永續發展之產品已為企業努力之目標，國際上亦有許多的模式、方法及工具陸續被提出，例如「生態設計」、「永續性產品與服務發展」等。根據過去的相關研究顯示，這些方法或模式確實能夠促進企業達到追求永續發展之目標。本研究首先蒐集整理永續發展思維之演進，了解永續發展之產品與服務的規劃流程，並介紹在進行永續性產品與服務發展過程中，應考慮那些構面及擬訂那些評估準則。再者，這些衡量構面與評估準則間通常存在衝突及無法同時滿足之特性，使得問題變得非常複雜，而多目標決策恰可提供適當且客觀評估的結果。
本論文以台灣水產加工業追求永續生存之綠色工程發展策略為實證案例，首先以模糊層級分析法建立評估體系，再以模糊多準則決策方法進行發展策略之評估。考量實際的多目標決策問題中，準則間經常存在非獨立性情況，本研究試圖將傳統分析層級程序法之獨立性假設放寬，並提出非加法型模糊積分方法推導出評估策略之綜合效用值並據以進行優勢排序。再者，考慮資源限制及方案策略間非互斥等因素，本研究進一步以模糊集群分析求解最適化之策略組合，提供企業經營者策略擬定與資源配置之決策參考。
Since the World Commission on Environment and Development (WCED) published the so-called Brundtland Report “Our Common Future” in 1987 and the United Nations Environmental Planning Board (UNEP) presented “Agenda 21” in 1992, sustainable development has become an important part of international and national approaches to integrating economic, environmental, social and ethical considerations so that a good quality of life can be enjoyed by current and future generations for as long as possible.
In response to the shift in environmental policy and law towards products, most of enterprises have focus on developing sustainable products. For some time, there are many concepts, approaches and tools have been proposed to help industries to meet this aim such as eco-design and sustainable product development. Past empirical researches indicated that these approaches and tools have successfully encouraged the sustainable products and services development for industry. In this study, we firstly survey the stream of sustainable development and recognize the planning process for sustainable products and services development. We also introduce the considered aspects with evaluated criteria in this planning process. In addition, for the reasons of incommensurability and conflicting within these aspects and criteria for sustainable development, the problems will become more complex. Multiple Criteria Decision Analysis (MCDA) can provide appropriately and objectively analysis results for dealing with these kinds of problem.
In this empirical study, we firstly employ fuzzy AHP to establish hierarchy system for evaluating the sustainable development strategies of green engineering for fishing industry in Taiwan. Secondly, fuzzy multi-criteria decision analysis method was utilized to derive the final synthetic values of the proposed strategies and determine the preferred order according to these values. In order to conform to the situation of non-independence among evaluated criteria in real problem, we relax the required independence assumption of traditional Analytic Hierarchy Process (AHP) for evaluation. This paper applies λ fuzzy measure and non-additive fuzzy integral technique to derive the synthetic values of proposed strategies. Furthermore, considering the limitation on resources and seldom mutually exclusive among these proposed strategies, we introduce fuzzy classification to find the optimal strategy combination. These optimal strategy combinations can be provided the useful information in resources allocation for decision makers.
REFERENCES
[1] Allen, D.T. and Shonnard, D.R. 2002. Green Engineering: Environmentally Conscious Design of Chemical Processes, Prentice Hall PTR, Upper Saddle River, New York.
[2] Ball, G. and Hall, D. 1967. A clustering technique for summarizing multivariate data, Behavior Science 12(1):153-155.
[3] Bellman, R.E., and L.A. Zadeh, 1970. Decision-making in a fuzzy environment, Management Science 17(4),141-164.
[4] Bezdek, J.C. 1973. Fuzzy mathematics in pattern classification, Ph. D. Dissertation, Applied Mathematics, Cornell University, Ithaca, NY.
[5] Bezdek, J.C. 1974. Cluster validity with fuzzy sets, Journal of Cybernetic 3(1):58-72.
[6] Bezdek, J.C. 1975. Mathematical models for systematics and taxonomy, Proceedings of 8th International Conference on Numerical Taronomy, Estabrook, G. (Ed.), Freeman, San Franscisco, CA, pp. 143-166.
[7] Bezdek, J.C. 1980. A convergence theorem for the fuzzy ISODATA clustering algorithms, IEEE Transaction on Pattern Analysis and Machine Intelligence. 2(1):1-8.
[8] Bezdek, J.C. 1981. Panem Recognition with Fuuy Objective Function Algorithms. New York Plenum.
[9] Bezdek, J.C. and Pal, N.R. 1998. Some new indexes of cluster validity, IEEE Trans. Systems Man Cybernet. 28(3):301–315.
[10] Bossel, H. 1999. Indicators for Sustainable Development: Theory, Method, Applications. International Institute for Sustainable Development, Winnipeg
[11] Brans J.P., Mareschal, B. and Vincke, Ph. 1984. PROMETHEE: A new family of outranking methods in MCDM, Operational Research, 477-490.
[12] Brans J.P., and Vincke, Ph. 1985. A preference ranking organization method - The PROMETHEE Method for MCDM, Management Science, 31(6), 647-656.
[13] Brezet, H. and van Hemel, C. 1997. Ecodesign, a promising approach to sustainable production and consumption. France: United Nations publication.
[14] Briggs, Th., Kunsch, P.L., and Mareschal, B. 1990. Nuclear waste management: an application of the multicriteria PROMETHEE methods, European Journal of Operational Research, 44(1), 1-10.
[15] Buckley, J.J. 1985a. Ranking alternatives using fuzzy number, Fuzzy Sets and Systems 15(1), 21-31.
[16] Buckley, J.J. 1985b. Fuzzy hierarchical analysis, Fuzzy Sets and Systems 17(3), 233-247.
[17] Byggeth, S.H. and Broman, G. 2000. Environmental aspects in product development—an investigation among small and medium sized enterprises. In: SPIE International Symposium on Intelligent Systems and Advanced Manufacturing; Environmentally Conscious Manufacturing, Boston, USA, pp.5–8.
[18] Byggeth, S.H., Broman, G., Holmberg, J., Lundqvist, U. and Robert, K.H. 2000. A method for sustainable product development in small and medium sized enterprises. In: TMCE-Tools and Methods of Competitive Engineering, Symposium, Delft, the Netherlands, pp.18–21.
[19] Caruso, C., A. Colorni, and M. Paruccini. 1993. The regional urban solid waste management system: A modeling approach, European Journal of Operational Research 70(1):16-30.
[20] Chang, D.Y., 1996, Applications of the extent analysis method on fuzzy AHP, European Journal of Operation Research 95(5), 649-655.
[21] Charter, M. and Tischner, U. 2001. Sustainable product design. In: Sustainable Solutions. UK: Greenleaf Publishing Ltd.
[22] Chen, S.J., and Hwang, C.L. (1992). Fuzzy Multiple Attribute Decision Making: Methods and Applications, Springer-Verlag, NY.
[23] Chen, T.Y., J.C. Wang, and G.H. Tzeng. 2000. Identification of general fuzzy measures by genetic algorithms based on partial information, IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics 30B(4):517-528.
[24] Chen, Y.W., and G.H. Tzeng. 2001. Using fuzzy integral for evaluating subjectively perceived travel costs in a traffic assignment model, European Journal of Operational Research 130(3):653-664.
[25] Croner. 2000. Environmental management systems and eco-design. Croner special report. Practical guidance on environmental management. 50(1): 1–8.
[26] Daly,H. and Cobb, J. 1989. For the Common Good. Beacon Press, Boston.
[27] Dubois, D., and H. Prade. 1978. Operations on fuzzy numbers, International Journal of Systems Science 9(3):613-626.
[28] Dubois, D., and H. Prade. 1980. Fuzzy Sets and Systems, Academic Press,New York.
[29] Dunn, E.G., Keller, J.M., Marks, L.A., Ikerd, J.E., Fader, P.D. and Godsey, L.D. 1995. Extending the application of fuzzy sets to the problem of agricultural sustainability. IEEE Proceedings of ISUMA-NAFIPS ’95, IEEE Computer Society Press, Los Alamitos, CA, pp. 497– 502.
[30] Dunn, J.C. 1974. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters, Journal of Cybernetic 3(1): 32-57.
[31] Fukunaga, K. 1990. Introduction to Statistical Pattern Recognition, Academic Press, New York.
[32] Fukuyama, Y. and Sugeno, M. 1989. A new method of choosing the number of clusters for the fuzzy c-means method, Proceedings of 5th Fuzzy Systems Symposium, pp. 247-250.
[33] Gabus, A. and Fontela, E. 1972. World problems: an invitation to further thought within the framework of DEMATEL. Geneva: Battelle Geneva Research Centre.
[34] Gabus, A. and Fontela, E. 1973. Perceptions of the world problematique: Communication procedure, communicating with those bearing collective responsibility (DEMATEL No. 1), Geneva: Battelle Geneva Research Centre.
[35] Gath, J. and Geva, A.B. 1989. Unsupervised optimal fuzzy clustering, IEEE Transaction on Pattern Analysis and Machine Intelligence 11(7):773-781.
[36] Gertsakis, J., Lewis, H. and Ryan, C. 1997. A guide to EcoReDesign. Australia: Centre for Design at RMIT.
[37] Ghosh R.N., 1977. Agriculture in economic development New Delhi: VIKAS Publishing.
[38] Ghosh R.N., Gabbay R., Siddique M.A.B., 2000. Growth, development and sustainable development. In: Ghosh R.N., Gabbay R., Siddique M.A.B., editors. Human resource and gender issues in poverty eradication. New Delhi: Atlantic Publishers and Distributors, pp. 1– 11.
[39] Grabisch, M. 1995. Fuzzy integral in multicriteria decision-making, Fuzzy Sets and Systems 69(3):279-298.
[40] Grassin, N. 1986. Constructing population criteria for the comparison of different options for a high voltage line route, European Journal of Operational Research, 26(1), 42-57.
[41] Gunderson, R. 1978. Application of fuzzy ISODATA algorithms to star-tracker pointing systems, Proceedings of 7th Triannual World IFAC Congress, Helsinki, pp. 1319–1323.
[42] Hanley, N., Moffatt, I., Faichney, R. and Wilson, M.D., 1998. Measuring sustainable development: a time series of alternative indicators for Scotland. Ecological Economics 28 (1), 53–73.
[43] Hanssen, O.J. 1997. Sustainable industrial product systems. Norway: Stiftelsen Østfoldforskning.
[44] Hardoy, J.E., Mitlin, D., Satterthwaite, D., 1992. Environmental Problems in Third World Cities. Earthscan Publications, London.
[45] Hardy, A. 1996. On the number of classes, Computation and Statistics Data Analysis 23(1):83–96.
[46] Herkert, J.R., Farrell, A. and Winebrake, J.J., 1996. Technology choice for sustainable development. IEEE Technology on Soc Management,15(2):12– 20.
[47] Hokkanen, J., and Salminen, P. 1997. ELECTRE Ⅲ and Ⅳ decision aids in an environmental problem, Journal of Multi-Criteria Decision Analysis, 6(2), 215-226.
[48] Hokkanen, J., Salminen, P., Rossi, E., and Ettala, M. 1995. The choice of a solid waste management system using the ELECTRE Ⅱ decision-aid method, Waste Management and Research, 13(2), 175-193.
[49] Hori, S. and Shimizu, Y. 1999. Designing methods of human interface for supervisory control systems, Control Engineering Practice 7 (11) 1413-1419.
[50] Hougaard, J.L., and H. Keiding. 1996. Representation of preferences on fuzzy measures by a fuzzy integral, Mathematical Social Sciences 31(1):1-17.
[51] Hwang, C.L., and K. Yoon. 1981. Multiple Attribute Decision Making, Lecture Notes in Economics and Mathematical Systems, Springer-Verlag, Berlin.
[52] Ishii, K., and Sugeno, M. 1985. A model of human evaluation process using fuzzy measure, International Journal of Man-Machine Studies, 22(1), 19-38.
[53] Kacprzyk, J. 1997. Multistage Fuzzy Control – A Model-Based Approach To Fuzzy Control And Decision Making, John Wiley & Sons, New York.
[54] Kaiser, H.F. 1958. The varimax criterion for analytic rotation in factor analysis, Psychometrika 23(1):187-200.
[55] Karsak, E.E., Sozer, S., Alptekin, S.E., 2002. Product planning in quality function deployment using a combined analytic network process and goal programming approach. Computers and Industrial Engineering, 44 (1), 171–190.
[56] Keeney, R.L. and H. Raiffa. 1976. Decisions with Multiple Objectives: Preferences and Value Tradeoffs, John Wiley and Sons.
[57] Kelly, K.L., 1998. A systems approach to identifying decisive information for sustainable development. European Journal of Operational Research 109, 452–464.
[58] Kothari, R. and Pitts, D. 1999. On finding the number of classes, Pattern Recognition Lett. 20(3):405–416.
[59] Lahdelma, R., Salminen, P., and Hokkanen, J. 2000. Using multicriteria methods in environmental planning and management, Environmental Management, 26(6), 595-605.
[60] Lee, J.W., Kim, S.H., 2000. Using analytic network process and goal programming for interdependent information system project selection. Computers and Operations Research, 27 (4), 367–382.
[61] Lesser J.A. and Zerbe R.O. 1995. What can economic analysis contribute to the sustainability debate? Contemporary Economic Policy 13(3):88 – 99.
[62] Levy, J.K, Hipel, K.W. and Kilgour, D.M., 1995. A holistic approach to sustainable development: the graph model for conflict resolution. Information System Engineering, 1 (3– 4):159– 177.
[63] Maxwell, D. and van der Vorst, R. 2003. Developing sustainable products and services, Journal of Cleaner Production 11(6) 883–895.
[64] McDaniels T.L. 1994. Sustainability, value trade offs, and electric utility planning. Energy Policy, 22(12):1045– 54.
[65] Meade, L.M., Presley, A., 2002. R&D project selection using the analytic network process. IEEE Transaction on Engineering Management, 49 (1), 59–66.
[66] Mebratu, D., 1998. Sustainability and sustainable development: historical and conceptual review. Environment Impact Assessing Review 18(3), 493–520.
[67] Mendoza, G.A., and R. Prabhu. 2000. Development of a methodology for selecting criteria and indicators of sustainable forest management: A case study on participatory assessment, Environmental Management 26(6):659-673.
[68] Milne M.J. 1996. On sustainability: the environment and management accounting. Management Accounting Research, 7(1):135 –161.
[69] Milon, J.W., Shogren, J.F. (Eds.), 1995. Integrating Economic and Ecological Indicators: Practical Methods for Environmental Policy Analysis. Praeger Publishers, Westport, CT.
[70] Minns D.E., 1994. Mathematical modelling as a tool to aid R&D investment decisions in a sustainable development policy climate. Technology Analysis Strategic Management 6(4):457 –72.
[71] Moffatt, I., 1996. Sustainable Development: Principles Analysis and Policies. Parethenon Press, New York.
[72] Momoh, J.A. and Zhu, J. 2003. Optimal generation scheduling based on AHP/ANP. IEEE Transaction on Systems Man Cybernet.— Part B: Cybernet, 33 (3), 531–535.
[73] Nordhaus, W. and Tobin, T. 1972. Is growth obsolote?. Columbia University Press, New York.
[74] Opricovic, S. and Tzeng, G.H. 2003. Defuzzification for a fuzzy multicriteria decision model, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11(5):635-652.
[75] Oral, M., Kettani, O., and Lang, P. 1991. A methodology for collective evaluation and selection of industrial R&D projects, Management Science, 37(7), 871-885.
[76] Pal, N.R. and Bezdek, J.C. 1995. On cluster validity for the fuzzy c-means model, IEEE Transactions on Fuzzy Systems. 3(3):370-379.
[77] Pearce, D., Markandya, A., and Barbier, E. 1989. Blueprint for a Green Economy. London: Earthscan.
[78] Pearce, D.W., Turner, R.K., 1990. Economics of Natural Resources and the Environment, Harvester Wheatsheaf, London, UK.
[79] Pedrycz, W. and Gomide, F. 1998. An Introduction to Fuzzy Sets, The MIT Press, Cambridge, Massachusetts, London, England.
[80] Pugh, C. (Ed.), 1996. Sustainability, the Environment and Urbanization, Earthscan, London.
[81] Ralescu, D. A., and G. Adams. 1980. Fuzzy integral, Journal of Mathematical Analysis and Applications 75(2):562-570.
[82] Rauch, W., 1998. Problems of decision making for a sustainable development. Water Science Technology, 38 (11), 31– 39.
[83] Reiskin, E., White, A., Kauffman, J. and Votta, J. 2000. Servicizing the chemical supply chain. Journal of Industrial Ecology 3(1): 2–3.
[84] Roy, B. 1991. The outranking approach and the foundations of ELECTRE methods, Decision Theory, 31(1), 49-73.
[85] Roy, B., and Bouyssou, B. 1986. Comparison of two decision-aid models applied to a nuclear power plant sitting example, European Journal of Operational Research, 20(2), 200-215.
[86] Saaty, T.L. 1977. A Scaling Method for Priorities in Hierarchical Structures, Journal of Mathematical Psychology, Vol. 15, No. 3, 234-281.
[87] Saaty, T.L. 1980. The Analytic Hierarchy Process, McGraw-Hill, New York.
[88] Saaty, T.L., 1994, Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, Pittsburgh PA: RWS Publication.
[89] Saaty, T.L., 1996, Decision Making with Dependence and Feedback: The Analytic Network Process, Pittsburgh PA: RWS Publication.
[90] Saaty, T.L., and Vargas, L. G., 1998, Uncertainty and rank order in the analytic hierarchy process, European Journal of Operational Research 32, 107-117.
[91] Sarkis, J., 2003. A strategic decision framework for green supply chain management. Journal of Cleaner Production, 11 (4), 397–409.
[92] Selman P. 1999. Three decades of environmental planning: what have we learned? In: Kenny M, Meadowcroft J, editors. Planning Sustainability. London: Routledge, pp. 148–74.
[93] Shearman, R., 1990. The meaning and ethics of sustainability. Environmental Management 14 (1), 1–8.
[94] Siddique M.A.B., 1997. Economic development: then and now. The South African Journal of Economics 65(1):7– 27.
[95] Simon, M., Evans, S., McAloone, T., Sweatman, A., Bhramra, T. and Poole, S. 1998. Ecodesign Navigator EPSRC. UK: Deanprint.
[96] Siskos, J., and Hubert, P. 1983. Multicriteria analysis of the impacts of energy alternatives: a survey and a new comparative approach, European Journal of Operational Research, 13(2), 278-299.
[97] Slesser M. and Moffit I. 1989. Sustainable development: conceptual issues, an operational model and its implications, Proceedings of the 3rd European Simulation Congress. Ghent, Belgium: SCS Eur, 1989.
[98] Sugeno, M. 1974. Theory of Fuzzy Integrals and its Applications, Doctorial Thesis, Tokyo Institute of Technology, Japan.
[99] Tamura, H., Akazawa, K. and Nagata, H. 2002. Structural modeling of uneasy factors for creating safe, secure and reliable society, SICE System Integration Division Annual Conference 330-340.
[100] Teng, J.Y., and Tzeng, G.H. 1994. Multicriteria evaluation for strategies of improving and controlling air quality in the super city: a case study of Taipei city, Journal Environmental Management 40(2):213-229.
[101] Trauwert, E., Kaufman, L. and Rousseeuw, P. 1991. Fuzzy clustering algorithms based on the maximum likehood principle, Fuzzy Sets and Systems 42(2): 213–222.
[102] Tsaur, S.H., Tzeng, G.H. and Wang. G.C., 1997. The application of AHP and fuzzy MCDM on the evaluation study of tourist risk, Annals of Tourism Research 24(4):796-812.
[103] van Hemel, C. 1998. Ecodesign empirically explored. In: Design for environment in Dutch SMEs. Amsterdam: Boekhandel Milieu-Boek.
[104] van Weenen, H. 2000. Product design–practical examples of SMEs. In: Proceedings in Sustainable Development, SMEs and New Enterprises, European Foundation, Ireland, pp.12–13.
[105] von Neumann, J., and Morgenstern, O. 1947. Theory of Games and Economic Behavior, 2nd ed. Princeton University Press, Princeton, N.J.
[106] Windham, M.P. 1981. Cluster validity for fuzzy clustering algorithms, Fuzzy Sets and Systems 5(2):177–185.
[107] World Commission on Environment and Development (WCED), 1987. Our Common Future. Oxford Univ. Press, Oxford.
[108] World Resources Institute. World resources. New York: Oxford Univ. Press, 1986, 1994,1995,1996,1997.
[109] WRR, 1995. Sustained Risks: A Lasting Phenomenon. Sdu Uitgeverij, The Hague, Reports to the Government 44.
[110] Xerox Corporation. Environment, health and safety report. 2001, UK and USA Xerox Corporation; 2001
[111] Xie, X.L. and Beni, G. 1991. A validity measure for fuzzy clustering, IEEE Transaction on Pattern Analysis and Machine Intelligence 13 (5):841-847.
[112] Yager, R.R. and Filev, D.P. 1993. On the issue of defuzzification and selection based on a fuzzy set, Fuzzy Sets Systems 55(2):255-271.
[113] Yeh, C.H., Deng, H. and Chang, Y.H. 2000. Fuzzy multicriteria analysis for performance evaluation of bus companies, European Journal of Operation Research 126, 459-473.
[114] Zadeh, L.A. 1965. Fuzzy Sets, Information and Control 8(2):338-353.
[115] Zadeh, L.A. 1975. The concept of a linguistic variable and its application to approximate reasoning, Parts 1, 2 & 3. Information Sciences 8(2):199-249; 8(3):301-357; 9(1):43-80.
[116] Zadeh, L.A. 1978. Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets Systems 1(1):3-28.
[117] Zhao, R., and R. Govind. 1991. Algebraic characteristics of extended fuzzy numbers, Information Science 54(1):103-130.
[118] Zimmermann, H.J., (1985) Fuzzy Set Theory and Its Applications, Kluwer, Nijhoff Publishing, Boston.
[119] Zimmermann, H.J., (1987) Fuzzy Set, Decision Making, and Expert System, Kluwer, Nijhoff Publishing, Boston.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
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：1451（臺灣：1404，外國：47） ／ 本年度總使用人次：2488187 ／ 訪客人次（自102年09月）：68297341
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