多屬性決策方法，為一種明確並可同時考量多個決策目標的方法論。其目的在協助決策者於有限資源及目標衝突的限制下，尋求一個較佳的行動方案。決策分析中替代方案的選擇是所有的產業所面臨的重要課題之一，這是個難解的問題，用數學規劃很難求解。在大多數的真實情形下，決策者提供的的資訊是不明確的目標達成水準，而非一確定明確值。必須引入模糊之觀念，克服這種不明確性質的問題。
本研究的目的在於利用模糊多目標理論方法發展一個有系統的、客觀的，而且能夠同時考量多個目標的方案評估方法。目的在於模糊多目標理論方法探討，並藉由兩個實際案例來驗證所提出之方法論。研究過程中，運用：小中取大法、三角模糊理想解類似度順序偏好法、模糊結合理想解類似度順序偏好法、梯形模糊決策矩陣法。來尋求最佳方案。模糊多目標方法結論比原結果得到較佳，考量的層面也更廣。在這些不同方法的比較之下，更有利於我們進行分析比較。讓廠房佈置之執行者，在篩選方案過程中有所依據，並可得到較佳的方案，以提高整座工廠的績效。利用模糊多目標理論來分析半導體廠封裝區問題，能權衡所有目標並在每個產品生產組合下選擇最佳替代方案。

Multiattribute decision-making methods are clear and simultaneously considering many decision goals. It helps the decision makers to find the best alternative under the constrained resources and conflict goals. It is difficult to solve by using mathematical programming. In most situations, the information provided by decision-maker is uncertainty to achieve level. It is not a crisp value. We must use fuzzy concept in order to overcome the uncertainty problem.
This research use fuzzy multiple attribute decision making methods to develop a systematic, objective, and considering multiple alternatives assessment. Our goal is discuss the theory of fuzzy multiple attribute decision making methods and using two cases to verify the methods. Max-min, Triangular Fuzzy Technique for Order Preference by Similarity to Ideal Solution, Fuzzy and Technique for Order Preference by Similarity to Ideal Solution, Trapezoidal Fuzzy Decision Matrix are used to find the best alternative. Finally, the essay takes the real example of semi-conductor sealing plant to illustrate the method and the result proves its best alternative.

刀根薰，（民82），競賽式決策制定法-AHP入門，建宏出版社。
日月光封膠站訓練教材，（民89），日月光工程部。
王文俊，（民82），認識fuzzy，全華出版社。
邱松茂， （民90），「IC封裝模具低沾黏表面處理技術」金屬工業35卷4期，37~43頁。
姜林杰祐，張逸輝，陳家明，黃家祚，（民90），系統模擬eM-Plant（SiMPLE++）操作與實務，華泰出版社。
許志義，（民83），多目標決策，五南圖書公司。
郭均偉，（民90），結合層級分析法與資料包絡法，碩士論文，國立成功大學製造工程研究所。
曾珞萍，（民89），以反應曲面法尋找多目標模擬模式之最佳解—以半導體封裝廠印字區為例，碩士論文，國立成功大學製造工程研究所。
楊君威，（民90），利用離散事件模擬方法求解即時性產能規劃問題-以半導體封裝廠封膠區為例，碩士論文，國立成功大學製造工程研究所。
謝瓊嬉，（民90），應用層級分析法求解工程部門人力規劃問題，碩士論文，國立成功大學製造工程研究所。
蘇木春，張效德，（民86），機器學習：類神經網路、模糊系統、以及基因演算法則，全華出版社。
AutoCAD® User’s Guide, Version 2000, 1999, Autodesk, USA.
Baldwin, J.F., 1994, FRIL-Fuzzy and Evidential Reasoning in AI, Research Studies Press.
Baas, S. and Kwakernaak, H., 1977, Rating and raking of multiple-aspect alternatives using fuzzy sets, Automatica, 13, 47-58.
Badiru, A.B. and Arif, A., 1996, FLEXPERT: facility layout expert system using fuzzy linguistic relationship codes, IIE Transactions, 28, 295-308.
Bellman, R.E. and Zadeh, L.A., 1970, Decision-making in a fuzzy environment, Management Science, 17, B141-164.
Bonissone, P.P., 1980, A fuzzy set based linguistic approach：theory and applications, Proceedings of the 1980 Winter Simulation Conference, Orlando, Florida, 99-111.
Brans, J.P., Mareshal, B., and Vincke, P., 1984, Promethee: A new family of outranking methods in multicriteria analysis, Proceedings of the Tenth IFORS International Conference on Operational Research, 477-490.
Buckley, J.J., 1984, The multiple-judge, multiple-criteria ranking problem: fuzzy set approach, Fuzzy Sets and Systems, 13, 25-38.
Carlsson, C. and Fuller, R., 1996, Fuzzy multiple criteria decision making: recent developments, Fuzzy Sets and Systems, 78, 139-153.
Chang, Y. and Yeh, C., 2002, A survey analysis of service quality for domestic airlines. European Journal of Operational Research, 139, 166-174.
Chen, C., 2000, Extensions of the TOPSIS for group decision making under fuzzy environment, Fuzzy Sets and Systems, 114, 1-9.
Chen, S.J. and Hwang, C.L., 1992, Fuzzy multiple attribute decision making methods and applications, Lecture Notes in Economics and Mathematical Systems, Springer, Berlin, 375.
Cheng Y.M. and McInnis B., 1980, An algorithm for multiple attribute, multiple alternative decision problem based on fuzzy sets with application to medical diagnosis, IEEE Transactions on Systems Man and Cybernetics, 10, 645-650.
Cheng, C.H., 1999, Evaluating weapon systems using ranking fuzzy numbers, Fuzzy Sets and Systems, 107, 25-35.
Cheng, C.H. and Lin, Y., 2002, Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation, European Journal of Operational Research, 142, 174-186.
Dong, W.M., Shah, H.C. and Wong, F.S., 1985, Fuzzy computations in risk and decision analysis, Civil Engineering Systems, 2, 201-208.
Dong, G.W., Wilhelm, F.S., 1987, Fuzzy weighted averages and implementation of the extension principle, Fuzzy Sets and Systems, 21,183-199.
Dubois, D. and Prade, H., 1979, Fuzzy real algebra: some results, Fuzzy Sets and Systems, 2,327-348.
Dubois, D. and Prade, H., 1980, Fuzzy Sets and Systems: Theory and Applications, Academic Press, New York.
Dubois, D. and Prade, H., 1982, The use of fuzzy number in decision analysis, Fuzzy Information and Decision Process, 309-321.
Dubois, D., 1983, Ranking fuzzy numbers in the setting of possibility theory, lnformation Sciences, 30, 183-224.
Dubois, D., Prade, H., 1988, Possibility theory: an approach to computerized processing of uncertainty, Plenum Press.
Dubois, D., Prade, H. and Testemale C., 1988, Weighted fuzzy pattern matching, Fuzzy Sets and Systems, 28, 313-331.
Evans, G.W., Willhelm, M. R. and Karwowski, W., 1987, A layout design heuristic employing the theory of fuzzy sets, International Journal of Production Research, 25, 1431- 1450.
Efstathiou, J. and Rajkovic, V., 1979, Multiattribute decision-making using a fuzzy heuristic approach, IEEE Transactions on Systems Man and Cybernetics, 9, 326-333.
Expert choice quick start guide and tutorials, 1982, Expert Choice Inc., Pittsburgh.
Goetschalckx, M., 1992, An layout heuristic based on hexagonal adjacency graphs, European Journal of Operational Research, 63, 304-321.
Grobelny, J., 1987, The fuzzy approach to facilities layout problems, Fuzzy Sets and Systems, 23,175-190.
Hwang, C.L. and Yoon, K., 1981, Multiple Attribute Decision Making, Springer, New York.
Kahne, S., 1975, A procedure for optimising development decisions, Automatica, 11, 261- 269.
Kazerooni, A., Chan, F., and Abhary K., 1997, A fuzzy integrated decision-making support system for scheduling of FMS using simulation, Computer Integrated Manufacturing Systems, 10, 27- 34.
Karwowski, W. and Evans, G.W., 1986, Fuzzy concepts in production management research: a review, International Journal of Production Research, 24, 129- 147.
Kaufmann, A. and Gupta, M. M., 1991, Introduction to fuzzy arithmetic theory and application, Van Nostrand Reinhold, New York.
Keeney, R. L. and Raiffa, H., 1976, Decisions with multiple objectives: Preferences and value tradeoffs, Wiley, New York.
Kelton, W.D., Sadowski, R.P., and Sadowski, D.A., 2002, Simulation with arena, McGraw Hill.
Kim, G., Park, C.S. and Yoon, K.P., 1997, Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement, International Journal of Production Economics, 50, 23-33.
Kwakernaak, H., 1979, An algorithm for rating multiple-aspect alternatives using fuzzy sets, Automatica, 15, 615-616.
Laarhoven, P.J.M. and Pedrycz, W., 1983, A fuzzy extension of Saaty's priority theory, Fuzzy Sets and Systems, 11, 229-241.
Negi, D. S., 1989, Fuzzy analysis and optimization, Ph. D. Thesis, Department of Industrial Engineering, Kansas State University.
Petroni, A. and Rizzi A., 2002, A fuzzy logic based methodology to rank shop floor dispatching rules, International Journal of Production Economic, 76, 99-108
Raoot, A. D. and Rakshitu, A., 1991, A fuzzy approach to facilities layout planning, International Journal of Production Research, 29, 835- 857.
Ribeiro, R.A. , 1996, Fuzzy multiple attribute decision making: A review and new preference elicitation techniques, Fuzzy Sets and Systems, 78, 155-181.
Roy, B. , 1973, How outranking relation helps multiple criteria decision making, Multiple Criteria Decision Making, University of South Carolina Press , 179-201.
Saaty, T.L., 1977, A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 15, 234-281.
Saaty, T.L., 1978, Exploring the interface between hierarchies, multiple objectives and fuzzy sets, Fuzzy Sets and Systems, 1, 57-68.
Saaty, T.L., 1980, The Analytic Hierarchy Process, McGraw-Hill, New York.
Saaty, T.L., 1990, The Analytic Hierarchy Process, RWS Publications, Pittsburgh.
Schmucker, K.J., 1984, Fuzzy sets, nature language computations, and risk analysis, Computer Science Press, Potomac.
Siskos, J.L., Lochard, J., and Lombard, J., 1984, A multicriteria decision making methodology under fuzziness: Application to evaluation of radiological protection in nuclear power plants, Management Sciences, 20, 261-283.
Spiral® User's Manual, Version 4.10, 1999, Marc Goetschalckx, Marietta, Gorgia.
Steuer, R.E., 1986, Multiple criteria optimization: thoery, computation, and application, John Wiley and Sons , New York.
Tsaur, S. H., Chang, T.Y. and Yen, C. H., 2002, The evaluation of airline service quality by fuzzy MCDM, Tourism Management, 23, 107-115.
Triantaphyllou, E. and Lin, C., 1996, Development and Evaluation of five Fuzzy Multiattribute Decision-Making Methods. International Journal of Approximate Reasoning, 14, 281-310.
Tseng, T.Y. and Klein, C.M., 1992, A new algorithm for fuzzy multicriteria decision making, International Journal of Approximate Reasoning, 6, 45-66.
Yager, R.R., 1975, Decision making with fuzzy sets, Decision Sciences, 6, 590-600.
Yager, R.R., 1977, Multiple objective decision-making using fuzzy sets, International Journal Man Machine Studies, 9,375-382.
Yager, R.R., 1978, Fuzzy decision making including unequal objectives, Fuzzy Sets and Systems, 1, 87-95.
Yager, R.R., 1981, A new methodology for ordinal multiobjective decisions based on fuzzy sets, Decision Sciences, 12, 589-600.
Yager, R.R., 1988, On ordered weighted averaging aggregation operators in multicriteria decision making, IEEE Transactions on Systems Man and Cybernetics, 18, 183-190.
Yang, T., Fu, H., and Yang, C., 2002, A Simulation-based dynamic operator assignment strategy considering machine interference –a case study on integrated circuit chip moulding operations, Production Planning and Control, 13, 541-551.
Yang, T. and Kuo, C., 2003, A hierarchical AHP/EDA methodology for the facilities layout design problem, European Journal of Operational Research, 147, 128-136.
Yang, T. and Tseng, L., 2002, Solving a multi-objective simulation model using a hybrid response surface method and lexicographical goal programming approach－a case study on integrated circuit ink-making machines, Journal of the Operational Research Society, 53, 211-221.
Yu, P., 1985, Multiple-criteria decision making: concept, techniques, and extensions, Plenum Press, New York.
Zadeh, L.A., 1965, Fuzzy sets, Information Control, 8, 338-353.
Zadeh, L.A., 1973, Outline of a new approach to the analysis of complex systems and decision process, IEEE Transactions on Systems Man and Cybernetics, 3, 28-44.
Zeleny, M., 1974, Linear Multiobjective Programming, Springer-Verlag , New York.
Zionts, S., 1977, Integer Linear Programming with multiple objectives, Annals of Discrete Mathematics, 1, 551-562.