Ordinal ranking methods for multicriterion decision making

被引：0
|
作者：
MITRE Corp, Bedford, United States [1 ]
机构：
来源：
Nav Res Logist | / 5卷 / 613-627期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
22
引用
收藏
相关论文
共 50 条
  • [41] Fuzzy Entropy for Pythagorean Fuzzy Sets with Application to Multicriterion Decision Making
    Yang, Miin-Shen
    Hussain, Zahid
    COMPLEXITY, 2018,
  • [42] PREFACE TO THE SPECIAL ISSUE ON MULTICRITERION DECISION-MAKING WITH ENGINEERING APPLICATIONS
    DUCKSTEIN, L
    GOICOECHEA, A
    PARENT, E
    APPLIED MATHEMATICS AND COMPUTATION, 1993, 54 (2-3) : 99 - 99
  • [43] COMPARISON OF DECISION MAKING METHODS WITH STATISTIC DECISION MAKING METHODS
    Hornicka, A.
    Svobodova, R.
    UCLIO 2010: UNIVERSITY CONFERENCE IN LIFE SCIENCES - PROCEEDINGS, 2010, : 46 - 50
  • [44] The Evaluation of the Entropy of Decision Makers' Preferences in Ordinal Consensus Ranking Problem
    Fiedor, Jan
    Mazurek, Jiri
    PROCEEDINGS OF THE 29TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2011, PTS I AND II, 2011, : 157 - 162
  • [45] Comparison of fuzzy set ranking methods for implementation in water resources decision-making
    Prodanovic, P
    Simonovic, SP
    CANADIAN JOURNAL OF CIVIL ENGINEERING, 2002, 29 (05) : 692 - 701
  • [46] QoS-BASED WEB SERVICE RANKING MODEL CONSIDERING DECISION MAKING METHODS
    Vadivelou, G.
    Ilavarasan, E.
    2017 2ND WORLD CONGRESS ON COMPUTING AND COMMUNICATION TECHNOLOGIES (WCCCT), 2017, : 198 - 202
  • [47] On some ordinal models for decision making under uncertainty
    Denis Bouyssou
    Marc Pirlot
    Annals of Operations Research, 2008, 163 : 19 - 48
  • [48] Using a notion of acceptable in uncertain ordinal decision making
    Yager, RR
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2002, 10 (03) : 241 - 256
  • [49] An ordinal sorting method for group decision-making
    Jabeur, Khaled
    Martel, Jean-Marc
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 180 (03) : 1272 - 1289
  • [50] Ordinal regression and ranking
    Computer Science Department, Universidade Federal de Minas Gerais, Antonio Carlos Av, Belo Horizonte
    6620, Brazil
    SpringerBriefs Comp. Sci., 9780857295248 (97-104):
12345