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Dominant Approaches of Synthesizing Scores in AHP with its Alternatives Categorized
Takafumi Mizuno, Eizo Kinoshita
149 - 154
10.3233/978-1-61499-405-3-149
Frontiers in Artificial Intelligence and Applications
Volume 262: Smart Digital Futures 2014
Abstract

In this paper, we describe methods which synthesize scores of AHP with its alternatives categorized. First, we proposed simple way to synthesize the scores, and we show that this approach occurs a rank reversal problem. Then we improve the method by combining Dominant AHP to overcome the problem.

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