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A method for multiple attribute decision making with incomplete weight information under uncertain linguistic preference relations

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1 Author(s)
Yejun Xu ; Nanjing Forestry Univ., Nanjing

The multi-attribute decision making problems are studied, in which the information about the attribute values takes the form of uncertain linguistic variables, and the information about attribute weights is incompletely known. The concept of deviation degree between uncertain linguistic variables is defined, and ideal point of uncertain linguistic decision making matrix is also defined. A formula of possibility degree for the comparison among uncertain linguistic variables is introduced. Based on the deviation degree and ideal point of uncertain linguistic variables, an optimization model is established to determine the weights, and then to aggregate the given uncertain linguistic decision information. A method based on possibility degree is given to rank the alternatives. Finally, an illustrative example is also given.

Published in:

Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on

Date of Conference:

18-20 Nov. 2007