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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Analytic Hierarchy Process / Decision Modeling and Theory / Information Technology |
Paper # | AI2010-63 |
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Committee | AI |
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Conference Date | 2011/3/1(1days) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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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 |
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