A Fuzzy Dempster Shafer Method and its Application in Plant Location Selection

Abstract:

Selecting a plant location can be seen as a multiple-criteria decision-making (MCDM) problem. In this paper, a new decision model based on our proposed fuzzy Dempster Shafer method for selecting plant location under linguistic environments is presented. The decision result can be obtained through Dempster combination rule. It is shown that the proposed method can efficiently deal with uncertain information processing in MCDM. A numerical example to select plant location is used to illustrate the efficiency of the proposed method.

• Periodical: Advanced Materials Research (Volumes 102-104)
• Pages: 831-835
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.102-104.831
• Online since: March 2010
• Authors: Yong Deng, Xiao Yan Su, Wen Jiang
• Keywords: Decision-Making, Dempster Shafer Evidence Theory, Fuzzy Set Theory, Plant Location Selection

References

[1] C.L. Hwang and K. Yoon: Methods and Applications(Springer, New York 1981).

[2] T.C. Chu: International Journal of Advanced Manufacturing Technology, Vol. 20 (2002), pp.859-864.

[3] Y. Deng and Q Liu: Journal of Computer and Systems Sciences International, Vol. 44 (2005), pp.531-541.

[4] Y. Deng: International Journal of Advanced Manufacturing Technology, Vol. 28 (2006), pp.839-844.

[5] A. Kauffman and M.M. Gupta: Theory and Applications (Van Nostrand Reinhold, New York 1985).

[6] G. Shafer: ( Princeton University Press, NJ 1976).