A Fuzzy Representation for Weights of Alternatives in AHP

被引：0
|
作者：
Ohnishi, Shin-ichi [1 ]
Yamanoi, Takahiro [1 ]
Imai, Hideyuki [2 ]
机构：
[1] Hokkai Gakuen Univ, Fac Engn, Sapporo, Hokkaido, Japan
[2] Hokkaido Univ, Grad Sch Engn, Sapporo, Hokkaido, Japan
来源：
NEW DIMENSIONS IN FUZZY LOGIC AND RELATED TECHNOLOGIES, VOL II, PROCEEDINGS | 2007年
关键词：
Decision making; AHP (Analytic Hierarchy Process); Fuzzy sets; Sensitivity analysis; Weights representation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
AHP (Analytic Hierarchy Process) has been widely used in decision making techniques. However, the results from AHP often lose reliability because the comparison matrix does not always have sufficient consistency. In these cases, fuzzy representation for weighting activities using results from a sensitivity analysis is useful. In this paper, we present alternative overall weights by employing some assumptions. Since an idea of less ambiguity is employed, the results show how AHP has fuzziness when the comparison matrix is not sufficiently consistent. An example is also shown in this paper.
引用
收藏
页码：311 / +
页数：2
相关论文
共 50 条
  • [41] Modified interval global weights in AHP
    Entani, Tomoe
    Tanaka, Hideo
    [J]. COMPUTATIONAL INTELLIGENCE, THEORY AND APPLICATION, 2006, : 415 - +
  • [42] Gray Relation Analysis for Optimal Selection of Bridge Reinforcement Scheme Based on Fuzzy-AHP Weights
    Tan, Yanbin
    Zhang, Zhe
    Wang, Huili
    Zhou, Shaobo
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [43] Dependence assessment in Human Reliability Analysis based on canonical representation on fuzzy numbers and AHP
    Chen, Qiudong
    Su, Xiaoyan
    Qian, Hong
    Shi, Fengjian
    Li, Lusu
    [J]. 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 4798 - 4805
  • [44] In defense of group fuzzy AHP: A comparison of group fuzzy AHP and group AHP with confidence intervals
    Coffey, Laura
    Claudio, David
    [J]. Claudio, David (david.claudio@montana.edu), 2021, Elsevier Ltd (178)
  • [45] In defense of group fuzzy AHP: A comparison of group fuzzy AHP and group AHP with confidence intervals
    Coffey, Laura
    Claudio, David
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2021, 178
  • [46] A fuzzy AHP-PROMETHEE II approach for evaluation of solar power plant location alternatives in Turkey
    Samanlioglu, Funda
    Ayag, Zeki
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 33 (02) : 859 - 871
  • [47] Selecting alternatives in the conceptual design phase: an application of Fuzzy-AHP and Pugh’s Controlled Convergence
    Renzi C.
    Leali F.
    Pellicciari M.
    Andrisano A.O.
    Berselli G.
    [J]. International Journal on Interactive Design and Manufacturing, 2013, 9 (01) : 1 - 17
  • [48] Fuzzy grey AHP
    Mls, Karel
    Gavalec, Martin
    [J]. MATHEMATICAL METHODS IN ECONOMICS (MME 2014), 2014, : 673 - 678
  • [49] Comparative analysis of groundwater potentiality zone using fuzzy AHP, frequency ratio and Bayesian weights of evidence methods
    Biswajit Maity
    Suraj Kumar Mallick
    Pritiranjan Das
    Somnath Rudra
    [J]. Applied Water Science, 2022, 12
  • [50] Comparative analysis of groundwater potentiality zone using fuzzy AHP, frequency ratio and Bayesian weights of evidence methods
    Maity, Biswajit
    Mallick, Suraj Kumar
    Das, Pritiranjan
    Rudra, Somnath
    [J]. APPLIED WATER SCIENCE, 2022, 12 (04)
12345