A D-S theory based AHP decision making approach with ambiguous evaluations of multiple criteria

Authors:
Wenjun Ma;Wei Xiong;Xudong Luo
Affiliations:
Institute of Logic and Cognition, Sun Yat-Sen University, Guangzhou, China;Institute of Logic and Cognition, Sun Yat-Sen University, Guangzhou, China;Institute of Logic and Cognition, Sun Yat-Sen University, Guangzhou, China
Venue:
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Year:
2012

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Abstract

This paper proposes an ambiguity aversion principle of minimax regret to extend DS/AHP approach of multi-criteria decision making (MCDM). This extension can analyze the MCDM problems with ambiguous evaluations of multiple criteria. Such evaluations cannot be avoided in real life, but that existing MCDM theories and models cannot handle it well. We also give an example of real estate investment to illustrate our approach.