Abstract
To the reduce the complexity and the uncertainty in selecting cooperation partner of virtual research center, a comprehensive evaluation model based on AHP and basic theory of the trapezoidal fuzzy number was proposed. In the model, the judgment matrix was first structured in trapezoid fuzzy number and the priority weights of criteria and sub-criteria were calculated, then the consistency of judgment matrix was tested in the necessary and sufficient condition of consistency. In the end, the alternatives are ranked with the integration of the fuzzy gravity method and the mean square difference method. Applying the trapezoidal fuzzy number makes the model combine qualitative analysis with quantitative analysis effectively, reduce influences of subjective factors and select the best cooperative partner objectively. In addition, the model can be easily programmed due to its simple, normative arithmetic formulas, thus can be widely used in practice. An example is presented where are four main criteria, sixteen sub-criteria and three alternatives.
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References
Shen, M.B., Wu, S.Y.: Discussion on The Virtual Research Center of Hydropower Development Enterprise. Journal of Hydroelectric Engineering 26, 21–24 (2007)
Mikhailov, L.: Fuzzy Analytical Approach to Partnership Selection in Formation of Virtual Enterprise. The Information Journal of Management 30, 393–401 (2002)
Lou, P., Chen, Y.P., Zhou, Z.D.: An AHP/DEA Method for Vendor Selection in the Agile Supply Chain. Journal of Huazhong University of Science and Technology 30, 29–31 (2002)
Zhou, Q.M., Yin, B.B.: Rough Set Approach to Partnership Selection in Formation of Virtual Enterprises. Control and Decision 20, 1047–1051 (2005)
Laarhoven, P.J.M., Pedrycz, W.: A fuzzy Extension of Saaty’s Priority Theory. Fuzzy Sets and Systems 11, 199–227 (1983)
Xu, R.N., Zhai, X.Y.: Fuzzy Logarithmic Least Squares Ranking Method in Analytic Hierarchy Process. Fuzzy Sets and Systems 77, 175–190 (1996)
Cao, J., Yang, C.J., Li, P.: Partner Selection and Evaluation in Agile Virtual Enterprise Based Upon TFN-AHP Model. Journal of Zhejiang University (Engineering Science) 40, 1061–1065 (2006)
Ma, P.J., Zhu, D.B., Ding, Y.C.: Fuzzy-AHP Based Algorithm for Optimal Partner-Selecting in Agile Manufacturing. Journal of Xi’an Jiao Tong University 33, 108–110 (1999)
Xu, R.N., Lui, K.: A Note on Consistency of Fuzzy Judgment Matrix. Journal of Systems Science and Mathematical Sciences 20, 58–64 (2000)
Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Li, X.Q., Li, S.R., Han, X.L.: Study of AHP Theory and Method: Test of Consistency and Calculation of Weight Vector. Journal of Systems Engineering 12, 111–117 (1997)
Li, D.F.: Fuzzy Multiobjective Many-Person Decision Makings and Games. Defense Industry Publishing House, Beijing (2003)
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© 2008 Springer-Verlag Berlin Heidelberg
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Luo, Z., Zhou, J., Li, Q., Liu, L., Yang, L. (2008). Partner Selection and Evaluation in Virtual Research Center Based on Trapezoidal Fuzzy AHP. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_13
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DOI: https://doi.org/10.1007/978-3-540-87734-9_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87733-2
Online ISBN: 978-3-540-87734-9
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