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.
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Ma, W., Xiong, W., Luo, X. (2012). A D-S Theory Based AHP Decision Making Approach with Ambiguous Evaluations of Multiple Criteria. In: Anthony, P., Ishizuka, M., Lukose, D. (eds) PRICAI 2012: Trends in Artificial Intelligence. PRICAI 2012. Lecture Notes in Computer Science(), vol 7458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32695-0_28
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DOI: https://doi.org/10.1007/978-3-642-32695-0_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32694-3
Online ISBN: 978-3-642-32695-0
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