A Decision Making Model for the Taiwanese Shipping Logistics Company in China to Select the Container Distribution Center Location

The purpose of this paper is to propose a decision making model for the Taiwanese shipping logistics company in China to select the best container distribution center location. The representation of multiplication operation on fuzzy numbers is useful for the decision makers to solve the fuzzy multiple criteria decision making problems of container distribution center location selection. In the past, few papers discussed the representation of multiplication operation on multiple fuzzy numbers. Thus this paper first compute and obtain the representation of multiplication operation on multiple fuzzy numbers. Based on this representation, the decision maker can rank quickly the ordering of each alternative location and then select easily the best one. Finally, the representation of multiplication operation on multiple fuzzy numbers is applied to solve the fuzzy multiple criteria decision making problem of container distribution center location selection in China.

[1]  M. Amparo Vila,et al.  On a canonical representation of fuzzy numbers , 1998, Fuzzy Sets Syst..

[2]  Mao-Jiun J. Wang,et al.  A fuzzy multi-criteria decision-making method for facility site selection , 1991 .

[3]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[4]  Deng Yong.  Plant location selection based on fuzzy TOPSIS , 2006 .

[5]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[6]  Rong Li.  Fuzzy method in group decision making , 1999 .

[7]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[8]  Chien-Chang Chou,et al.  A fuzzy MCDM method for solving marine transshipment container port selection problems , 2007, Appl. Math. Comput..

[9]  Abraham Kandel,et al.  A new fuzzy arithmetic , 1999, Fuzzy Sets Syst..

[10]  Chien-Chang Chou,et al.  The Representation of Multiplication Operation on Fuzzy Numbers and Application to Solving Fuzzy Multiple Criteria Decision Making Problems , 2006, PRICAI.

[11]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[12]  Piet Rietveld,et al.  Ordinal data in multicriteria decision making, a stochastic dominance approach to siting nuclear power plants , 1992 .

[13]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[14]  Deng Yong,et al.  Evaluating the Main Battle Tank Using Fuzzy Number Arithmetic Operations , 2006 .

[15]  Ch.-Ch Chou.  The canonical representation of multiplication operation on triangular fuzzy numbers , 2003 .

[16]  S. H. Chen,et al.  GRADED MEAN INTEGRATION REPRESENTATION OF GENERALIZED FUZZY NUMBER , 1999 .

[17]  Chen-Tung Chen,et al.  A fuzzy approach to select the location of the distribution center , 2001, Fuzzy Sets Syst..

[18]  Geoffrey I. Webb,et al.  PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings , 2006, PRICAI.

[19]  Chen-Tung Chen,et al.  Fuzzy Credibility Relation Method for Multiple Criteria Decision-Making Problems , 1997, Inf. Sci..