A soft computing method of performance evaluation with MCDM based on interval-valued fuzzy numbers

被引:102
|
作者
Kuo, Ming-Shin [1 ,2 ]
Liang, Gin-Shuh [3 ]
机构
[1] Kainan Univ, Dept Transportat Technol & Management, Tao Yuan 338, Taiwan
[2] Natl Formosa Univ, Dept Ind Engn & Management, Huwei, Yunlin, Taiwan
[3] Natl Taiwan Ocean Univ, Dept Shipping & Transportat Management, Keelung 20224, Taiwan
关键词
Performance evaluation; MCDM; VIKOR; Interval-valued fuzzy sets; Fuzzy sets; GROUP DECISION-MAKING; MULTICRITERIA ANALYSIS; TOPSIS METHOD; VIKOR METHOD; SETS; EXTENSIONS; PARTNERS; SELECT; IDEAL;
D O I
10.1016/j.asoc.2011.08.020
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study presented a new performance evaluation method for tackling fuzzy multicriteria decision-making (MCDM) problems based on combining VIKOR and interval-valued fuzzy sets. The performance evaluation problem often exists in complex administrative processes in which multiple evaluation criteria, subjective/objective assessments and fuzzy conditions have to be taken into consideration simultaneously in management. Here, the subjective, imprecise, inexact and uncertain evaluation processes are modeled as fuzzy numbers by means of linguistic terms, as fuzzy theory can provide an appropriate tool to deal with such uncertainties. However, the presentation of linguistic expressions in the form of ordinary fuzzy sets is not clear enough [15,21]. Interval-valued fuzzy sets can provide more flexibility [4,14] to represent the imprecise/vague information that results, and it can also provide a more accurate modeling. This paper presents the interval-valued fuzzy VIKOR, which aims to solve MCDM problems in which the weights and performances of criteria are unequal by using the concepts of interval-valued fuzzy sets. A case study for evaluating the performances of three major intercity bus companies from an intercity public transport system is conducted to illustrate the effectiveness of the method. (C) 2011 Elsevier B. V. All rights reserved.
引用
收藏
页码:476 / 485
页数:10
相关论文
共 50 条
  • [1] Interval-valued Fuzzy Sets in Soft Computing
    Bustince H.
    [J]. International Journal of Computational Intelligence Systems, 2010, 3 (2) : 215 - 222
  • [2] Interval-valued Fuzzy Sets in Soft Computing
    Bustince, Humberto
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2010, 3 (02) : 215 - 222
  • [3] Correlation and aggregation integrated MCDM with interval-valued intuitionistic fuzzy numbers
    Liu, Shihu
    [J]. 2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 2252 - 2256
  • [4] Cloud computing technology selection based on interval-valued intuitionistic fuzzy MCDM methods
    Gülçin Büyüközkan
    Fethullah Göçer
    Orhan Feyzioğlu
    [J]. Soft Computing, 2018, 22 : 5091 - 5114
  • [5] Cloud computing technology selection based on interval-valued intuitionistic fuzzy MCDM methods
    Buyukozkan, Gulcin
    Gocer, Fethullah
    Feyzioglu, Orhan
    [J]. SOFT COMPUTING, 2018, 22 (15) : 5091 - 5114
  • [6] Nearest Interval-Valued Approximation of Interval-Valued Fuzzy Numbers
    Ahmadian, A.
    Senu, N.
    Salahshour, S.
    Suleiman, M.
    [J]. MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES, 2016, 10 : 325 - 336
  • [7] Ranking method of interval-valued intuitionistic fuzzy numbers based on TOPSIS
    School of Science, Nanchang University, Nanchang
    330031, China
    [J]. Kongzhi yu Juece Control Decis, 11 (2014-2018):
  • [8] An interval-valued fuzzy distance measure between two interval-valued fuzzy numbers
    Hesamian, Gholamreza
    Akbari, Mohammad Ghasem
    [J]. COMPUTATIONAL & APPLIED MATHEMATICS, 2019, 39 (01):
  • [9] Fuzzy risk analysis based on interval-valued fuzzy numbers
    Wei, Shih-Hua
    Chen, Shyi-Ming
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (02) : 2285 - 2299
  • [10] An interval-valued fuzzy distance measure between two interval-valued fuzzy numbers
    Gholamreza Hesamian
    Mohammad Ghasem Akbari
    [J]. Computational and Applied Mathematics, 2020, 39