Presentation 2011-03-09
An Efficient Comparison Process for Analytic Hierarchy Process
Yumi TADANO, Hidenori KAWAMURA, Keiji SUZUKI,
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Abstract(in English) The analytic hierarchy process (AHP) proposed by T.L.Saaty is a method for decision making that takes into consideration uncertain situations or multiple evaluation criteria. In AHP, a decision maker gives values of pairwise comparisons between evaluation criteria and alternatives. Therefore the comparisons of all pairs are difficult when evaluating many alternatives. In this study, we propose a new method that named "comparison support method" for evaluating many alternatives when decision maker needs to decide the highest priority alternative. The comparison support method stops pairwise comparisons when only one solution, the highest priority alternative, is found even if all comparisons aren't compared.
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Keyword(in English) Analytic Hierarchy Process / Decision Modeling and Theory / Information Technology
Paper # AI2010-63
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Committee AI
Conference Date 2011/3/1(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Efficient Comparison Process for Analytic Hierarchy Process
Sub Title (in English)
Keyword(1) Analytic Hierarchy Process
Keyword(2) Decision Modeling and Theory
Keyword(3) Information Technology
1st Author's Name Yumi TADANO
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Hidenori KAWAMURA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Keiji SUZUKI
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2011-03-09
Paper # AI2010-63
Volume (vol) vol.110
Number (no) 462
Page pp.pp.-
#Pages 5
Date of Issue