A Method for Multi-Attribute Decision-Making with Complementary Preference Information on Alternatives

Abstract:

The multi-attribute decision making (MADM) problem, in which the information about attribute weights are known partly and the decision maker (DM) has fuzzy complementary preference relation on alternatives, is investigated in this paper. Firstly, The objective decision-making information based on the subjective fuzzy complementary preference information on alternatives is uniformed by using a translation function. Secondly, a goal programming model is established. The attribute weights are obtained by solving the model, thus the overall values of the alternatives are gained by using the additive weighting method. Based on these values, the ranking priorities or selecting the best on alternatives are processed. The method can sufficiently utilize the objective information of alternatives and meet the subjective requirements of the DM as much as possible, and it is also characterized by simple operation and easy to implement on a computer. Finally, a practical example is illustrated to show the feasibility and availability of the developed method.

• Periodical: Advanced Materials Research (Volume 658)
• Pages: 541-545
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.658.541
• Online since: January 2013
• Authors: Hong An Zhou
• Keywords: Goal Programming, Multi-Attribute Decision-Making, Priority, Weight

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