Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS

被引:1211
|
作者
Opricovic, S
Tzeng, GH
机构
[1] Natl Chiao Tung Univ, Inst Management Technol, Hsinchu 300, Taiwan
[2] Fac Civil Engn, YU-11000 Belgrade, Serbia
关键词
multiple criteria analysis; compromise; VIKOR; TOPSIS; comparison;
D O I
10.1016/s0377-2217(03)00020-1
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The multiple criteria decision making (MCDM) methods VIKOR and TOPSIS are based on an aggregating function representing "closeness to the ideal", which originated in the compromise programming method. In VIKOR linear normalization and in TOPSIS vector normalization is used to eliminate the units of criterion functions. The VIKOR method of compromise ranking determines a compromise solution, providing a maximum "group utility" for the "majority" and a minimum of an individual regret for the "opponent". The TOPSIS method determines a solution with the shortest distance to the ideal solution and the greatest distance from the negative-ideal solution, but it does not consider the relative importance of these distances. A comparative analysis of these two methods is illustrated with a numerical example, showing their similarity and some differences. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:445 / 455
页数:11
相关论文
共 50 条
  • [31] Comparative analysis of MCDM methods for the assessment of mortality in patients with acute coronary syndrome
    Wojciech Sałabun
    Andrzej Piegat
    Artificial Intelligence Review, 2017, 48 : 557 - 571
  • [32] COMPARATIVE ANALYSIS OF SOME PROMINENT MCDM METHODS: A CASE OF RANKING SERBIAN BANKS
    Stanujkic, Dragisa
    Dordevic, Bojan
    Dordevic, Mira
    SERBIAN JOURNAL OF MANAGEMENT, 2013, 8 (02) : 213 - 241
  • [33] Comparative analysis of MCDM methods for the assessment of mortality in patients with acute coronary syndrome
    Salabun, Wojciech
    Piegat, Andrzej
    ARTIFICIAL INTELLIGENCE REVIEW, 2017, 48 (04) : 557 - 571
  • [34] COMPARATIVE ANALYSIS OF MCDM METHODS AND TECHNIQUES TO EVALUATE QUALITY OF PERSONALISED LEARNING UNITS
    Kurilovas, Eugenijus
    EDULEARN18: 10TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2018, : 3383 - 3391
  • [35] Performance evaluation of bamboo species for structural applications using TOPSIS and VIKOR: A comparative study
    Mali, Pankaj Rangrao
    Vishwakarma, Rameshwar J.
    Isleem, Haytham F.
    Khichad, Jeetendra Singh
    Patil, Rajkumar Bhimgonda
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 449
  • [36] Application of prediction–area plot in the assessment of MCDM methods through VIKOR, PROMETHEE II, and permutation
    Zohre Hoseinzade
    Asal Zavarei
    Kourosh Shirani
    Natural Hazards, 2021, 109 : 2489 - 2507
  • [37] Forest fire susceptibility mapping via multi-criteria decision analysis techniques for Mugla, Turkey: A comparative analysis of VIKOR and TOPSIS
    Sari, Fatih
    FOREST ECOLOGY AND MANAGEMENT, 2021, 480
  • [38] Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python']Python Approach
    Stanujkic, Dragisa
    Karabasevic, Darjan
    Popovic, Gabrijela
    Zavadskas, Edmundas Kazimieras
    Saracevic, Muzafer
    Stanimirovic, Predrag S.
    Ulutas, Alptekin
    Katsikis, Vasilios N.
    Meidute-Kavaliauskiene, Ieva
    AXIOMS, 2021, 10 (04)
  • [39] Risk Assessment in PPP Projects by Applying Different MCDM Methods and Comparative Results Analysis
    Valipour, Alireza
    Sarvari, Hadi
    Tamosaitiene, Jolanta
    ADMINISTRATIVE SCIENCES, 2018, 8 (04):
  • [40] Comparative Analysis of MCDM Methods for the Evaluation of Optimum Green Energy Sources: A Case Study
    Bhowmik, Chiranjib
    Dhar, Sreerupa
    Ray, Amitava
    INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY, 2019, 11 (04) : 1 - 28