在群體決策中，最主要的缺點就是低效率，因為在決策群體中的每一位決策者對於解決方案都有各自的特殊偏好，彼此可能會有意見衝突的情況而產生群體決策不一致的問題，且將花費更多時間來互相溝通。除此之外，群體決策還會導致群體思維(groupthink)，使有個性、創新和更富有變革精神的方案無法得到認同。而多屬性決策制定方法是一種可以協助決策者在數目有限的解決方案中，根據每一個解決方案中各個屬性的特徵，找出解決方案優先順序的方法。
一個複雜的決策問題都是透過多位專家或是不同利害關係的團體共同進行決策分析與制訂的，在企業方面，像是一個投資案，可能需要來自不同部門的經理(專家)共同參與決策，而在公共政策議題方面，例如大學多元入學方案，則可能是由學者、家長代表、高中輔導老師、大學招生委員會…等不同利害關係的團體共同制訂決策的。在現今快速變遷的社會環境裡，決策者將會面臨愈來愈多複雜的群體決策問題，但每次都必須把這一個群體集合在同一個時間、地點是非常困難的，且其所需的成本更是昂貴。傳統的群體會議需歷時很久，且得到的決策結果可能會是平凡的，因此近年來有愈來愈多的學者將模糊理論應用到個人的和群體的決策問題中，以期在短暫的時間內制訂出有效益的決策。故本研究將探討群體決策、模糊理論和多屬性決策問題，應用於所提出的模糊群體決策支援系統模式中，並運用網際網路的技術將其建構成一個以網頁為基礎的模糊群體決策支援系統。最後針對本研究所提出的系統作實證評估並給予建議。

In the group decision making process, all of the participants have their own preference on particular solutions. This may create conflicts and so more time is needed for the participants to communicate with each other. Therefore, the main drawback of group decision making is its poor efficiency. Multiple attribute decision making (MADM) is a kind of method that helps a decision maker set his priorities in determining solutions according to the features of each attribute included in every solution.
In this rapidly changing world, decision makers will face more and more complex group decision making problems. It is difficult and costly to aggregate all the participants together at the same time and same venue. It also takes participants a long time to hold a traditional group convention while the decisions made by them might be mediocre. Because of the defects mentioned above, a large number of researches which apply fuzzy theory into both personal and group decision making problems in order to promote effective decision making within an acceptable time have been proposed recently. Therefore, some literatures concerning group decision making problems, fuzzy theory, and multiple attribute decision making methods have been reviewed first, and then integrated into a proposed fuzzy group decision support system’s architecture. A web programming technique has been used to implement a web-based fuzzy group decision support system. At last, evaluations and suggestions of the proposed system have been showed orderly.

參考文獻
英文：
Aouam, T., Chang, S.I. and Lee, E.S. (2003), “Fuzzy MADM: An outranking method,” European Journal of Operational Research, 145, 317-328.

Bellman, R.E. and Zadeh, L.A. (1970), “ Decision-Making in a Fuzzy Environment,” Management Science, 17(4), 141-164.

Belton, V. and Gear, A.E. (1983), “On a Shortcoming of Saaty’s Method of Analytic Hierarchies,” Omega, 11(3), 227-230.

Bhangale, P.P., Agrawal, V.P. and Saha, S.K. (2004), “Attribute based specification, comparison and selection of a robot,” Mechanism and Machine Theory, 39, 1345-1366.

Chen, S.M. (1998), “Aggregating fuzzy opinions in the group decision-making environment,” Cybernetics and Systems, 29, 363–376.

Chen, L.S. and Cheng, C.H. (2004), “Selecting IS personnel use fuzzy GDSS based on metric distance method,” European Journal of Operational Research, 160, 803-820.

Chen, S.J. and Hwang, C.L. (1992), Fuzzy Multiple Attribute Decision Making, New York: Springer-Verlag Press.

Chen, S.J. and Lin, L. (2004), “Modeling Team Member Characteristics for the Formation of Multifunctional Team in Concurrent Engineering”, IEEE Transactions on Engineering Management, 51(2), 111-124.

Chiclana, F., Herrera, F. and Herrera-Viedma, E. (2001), ”Intergating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference rlations,” Fuzzy Sets and Systems, 122, 277-291.

Deng, Y. and Shi, W.K. (2003), “A modified aggregation of fuzzy opinions under group decision making,” Cybernetics and Systems: An International Journal, 34, 207-216.

Dennis, A.R., George, J.F., Jessup, L.M., Nunamaker, J.F. and Vogel, D.R. (1988), “Information Technology to Support Electronic Meetings,” MIS Quarterly, 591-619.

Dennis, A.R., Wixom, B.H. and Vandenberg, R.J. (2001), “Understanding Fit and Appropriation Effects in Group Support Systems Via Meta-Analysis,” MIS Quarterly, 25, 167-193.

DeSanctis, G. and Gallupe, B. (1985), “Group Decision Support System：A New Frontier,” Data Base Winter, 3-10.

DeSanctis, G. and Gallupe, R.B. (1987), “A Foundation for the Study of Group Decision Support Systems,” Management Science, 33(5), 589-609.
Dickson, G.W., Robison, L.H., Lee, J.E. and Health, R. (1989), “Observations on GDSS Interaction: Chauffeured, Facilitated, and User-Driven Systems,” Proceedings of the 22th Annual Hawaii International Conference on System Sciences, 337-343.

Ding, J.F. and Liang, G.S. (2005), “Using fuzzy MCDM to select partners of strategic alliances for liner shipping,” Information Sciences, 173(1-3), 197-225.

Elfvengren, K., Kärkkäinen, H., Torkkeli, M., and Tuominen, M. (2004), ”A GDSS based approach for the assessment of customer needs in industrial markets,” International Journal of Production Economics, 89, 275-292.

Fan, Z.P., Ma, J. and Zhang, Q. (2002), “An approach to multiple attribute decision making based on fuzzy preference information on alternatives”, Fuzzy Sets and Systems, 131, 101-106.

Fan, Z.P., Mu, G.F. and Xiao, S.H. (2004), “A method for multiple attribute decision-making with the fuzzy preference relation on alternatives”, Computers and Industrial Engineering, 46, 321-327.

Herrera-Viedma, E., Herrera F., Chiclana F. and Luque M. (2004), “Some issues on consistency of fuzzy preference relations”, European Jornal of Operational Research, 154, 98-109.

Herrera-Viedma, E., Herrera, F., Martinez, L., Herrera, J. C. and Lopez, A. G. (2004), “Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web,” Fuzzy Sets and Systems, 148(1), 61-83.

Hsieh, T.Y., Lu, S.T. and Tzeng, G.H. (2004), “Fuzzy MCDM approach for planning and design tenders selection in public office buildings,” International Journal of Project Management, 22(7), 573-584.

Hsu, H.M. and Chen, C.T. (1996), “Aggregation of fuzzy opinions under group decision making” Fuzzy Sets and Systems, 79, 279-285.

Hsu, Y.G., Tzeng, G.H. and Shyu, J.Z. (2003), “Fuzzy Multiple Criteria Selection of Government-Sponsored Frontier Technology R and D Projects,” R & D Management, 33(5), 539-551.

Huber, G. P. (1984), “ Issues in the Design of Group Decision Support System,” MIS Quarterly, 8(3), 195-204.

Hung, S.Y. and Liang, T.P. (2001), “Cross-cultural Applicability of Group Decision Support Systems : Evidence in Taiwan,” International Journal of Management Theory and Practices, 2(1), 1-12.

Hwang, C. L. and Yoon, K. (1981), Multiple Attribute Decision Making: Methods and Applications, New York: Springer-Verlag.

Kaufmann, M.M. and Gupta, (1988), Fuzzy Mathematical Models in Engineering and Management Science, New York: Elsevier.

Klir, G.J. and B. Yuan (1995), Fuzzy Sets and Fuzzy Logic Theory and Applications, New Jersey: Prentice Hall International.

Lee, C., Liu, L.C. and Tzeng, G.H. (2001), “Hierarchical Fuzzy Integral Evaluation Approach for Vocational Education Performance：Case of Junior Colleges in Taiwan,” International Journal of Fuzzy System, 3(3),476-485.

Lee, H.S. (2002), “Optimal consensus of fuzzy opinions under group decision making environment,” Fuzzy Sets and Systems, 132, 303-315.

McGrath, J.E. (1984), Groups: Interaction and Performance, Englewood Cliffs, N.J.: Prentice-Hall.

Mosvick, R. K. and Nelson, R. B. (1987), We’ve Got to Start Meeting Like This, New York: Scott Foresman and Co.

Ölcer, A.İ. and Odabasi, A.Y. (2005), “A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem,” European Journal of Operational Research, 166, 93-114.

Opricovic, S. (1998), Multicriteria Optimization of Civil Engineering Systems, Belgrade: Faculty of Civil Engineering.

Opricovic, S. and Tzeng, G.H. (2004), “Compromise solution by MCDM methods: Acomparative analysis of VIKOR and TOPSIS,” Europan Journal of Operational Research, 156, 445-455.

Pavlicic, D. (2001), “Normalization affects the results of MADM methods, ” Yugoslav Journal of Operations Research, 11(2), 251-265.

Perego, A. and Rangone, A. (1998), “A reference framework for the application of MADM fuzzy techniques to selecting AMTS,” International Journal of Production Research, 36, 437–458.

Ribeiro, R.A. (1996), “Fuzzy multiple attribute decision-making: A review and new preference elicitation techniques,” Fuzzy Sets and Systems, 78, 155–181.

Ribeiro, R.A. and Baldwin, J.F. (1995),” A multiple attribute fuzzy decision support system: Two applications,” Fuzzy Logic and Soft Computing , 4, 452–461.

Saaty, Th.L. (1980), The Analytic Hierarchy Process, New York: McGraw-Hill.

Shen, Q. and Chung, J.K.H. (2002), “A group decision support system for value management studies in the construction industry,” International Journal of Project Management, 20, 247-252.

Turban, E., Zhou, D. and Ma, J. (2004), ”A group decision support approach to evaluating journals,” Information and Management, 42, 31-44.

Tzeng, G.H., Lin, C.W. and Opricovic S. (2005), “Multi-criteria analysis of alternative-fuel buses for public transportation,” Energy Policy, 33, 1373-1383.

Wang, Y.M. and Parkan, C. (2005), ”Multiple attribute decision making based on fuzzy preference information on alternatives: Ranking and weighting,” Fuzzy Sets and Systems, 153, 331-346.

Wang, R. C. and Chuu, S. J. (2004), “Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system,” European Journal of Operational Research, 154(3), 563-572.

Wang, J. and Lin, Y.I. (2003), “A fuzzy multicriteria group decision making approach select configuration items for software development,” Fuzzy Sets and Systems, 134, 343-363.

Yeh, J.M., Kreng, B.W. and Lin, C.H. (2001), “A consensus approach for synthesizing the elements of comparison matrix in the Analytic Hierarchy Process,” International Journal of Systems Science, 32, 1353-1363.

Yoon, K. and Hwang, C. L. (1985), “Manufacturing Plant Location Analysis by Multiple Attribute Decision Making: Part I–Single-Plant Strategy,” International Journal of Production Research, 23(2), 345-359.

Yoon, K. P. and Hwang, C. L. (1995), Multiple Attribute Decision Making: An Introduction, Thousand Oaks: Sage PublicationsInc.

Yu, H.C., Lee, Z.Y. and Chang, S.C. (2005), “Using a fuzzy multi-criteria decision making approach to evaluate alternative licensing mechanisms,” Information and Management, 42(4), 517-531.

Yu, P.L. (1973), “A class of solutions for group decision problem,” Management Science, 19(8), 936-946.

Zadeh, L.A. (1965), “Fuzzy sets,” Information and control, 8, 338-353.

Zeleny, M. (1982), Multiple Criteria Decision Making, New York: McGraw-Hill.

Zhao, H., Zhang, Y., Wang, Z., Lee, S. and Kwong, W. (2003), “Research on group decision support system for concurrent product development process,” Journal of Materials Processing Technology, 139, 619–623.

中文：

林俊宏、曾國雄、任維廉(2005)，利用VIKOR方法解決企業資源規劃系統評選問題，農業與經濟(Agriculture and Economics)，34，69-90。

梁定澎(2002)，決策支援系統， 台北松崗書局。

秦漢傑(2006)，多準則決策分析於研發專案成員選取之評估，中原大學企業管理學系碩士論文。

劉家鑫(2004)，模糊多屬性決策方法之模擬分析比較，銘傳大學管理科學研究所碩士論文。