Abstract
AHP is proposed to give the importance grade with respect to many items. The comparison value is used to be crisp, however, it is easy for a decision maker to give it as an interval. The interval comparison values can reflect uncertainty due to human judgement. In this paper, the interval importance grade is obatained from an interval comparison matrix so as to include the decision maker’s judgement. To choose the crisp importance grades and the crisp efficinency in the decision maker’s judgement, we use DEA, which is an evaluation method from the optimistic viewpoint.
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© 2001 Springer-Verlag Berlin Heidelberg
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Entani, T., Ichihashi, H., Tanaka, H. (2001). Optimistic Priority Weights with an Interval Comparison Matrix. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_43
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DOI: https://doi.org/10.1007/3-540-45548-5_43
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