Comparing Computing Support in the AHP
| Project/Area Number |
23500164
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Hokkaido University |
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Principal Investigator |
SUZUKI Keiji 北海道大学, 情報科学研究科, 教授 (10250482)
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| Co-Investigator(Kenkyū-buntansha) |
KAWAMURA Hidenori 北海道大学, 大学院・情報科学研究科, 准教授 (60322830)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2011: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | AHP / 意思決定支援 / 大規模計算 |
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| Research Abstract |
The analytic hierarchy process (AHP) is a method for decision-making that considers uncertain situations or multiple evaluation criteria. In the AHP, a decision maker compares two elements between evaluation criteria and alternatives. Therefore, comparing all pairs is difficult when evaluating many alternatives. In this study, we present the comparison support method for evaluating many alternatives when a decision maker needs to decide the highest priority alternative. The comparison support method stops pairwise comparisons when the best solution, i.e., the highest priority alternative, is found, even if all pairs have not been compared. We represented a modeling of determine the best alternative using the AHP include comparison support system.
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Report
(4 results)
Research Products
(3 results)
