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2013 Fiscal Year Final Research Report

Comparing Computing Support in the AHP

Research Project

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Project/Area Number 23500164
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Intelligent informatics
Research InstitutionHokkaido University

Principal Investigator

SUZUKI Keiji  北海道大学, 情報科学研究科, 教授 (10250482)

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)
Project Period (FY) 2011 – 2013
KeywordsAHP / 意思決定支援
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.

  • Research Products

    (1 results)

All 2009

All Presentation (1 results)

  • [Presentation] LCO Applied to Large Scale Connected Double Circles TSP for Comparing Heuristic Strategies2009

    • Author(s)
      Yohko Konno, Hidenori Kawamura, Keiji Suzuki
    • Organizer
      The 9th International Conference on Optimization : Techniques and Applications (ICOTA 9)
    • Place of Presentation
      Taipai
    • Year and Date
      20090000

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Published: 2015-07-16  

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