A new method for evaluating weapon systems using fuzzy set theory

被引：15
|
作者：
Chen, SM
机构：
[1] Department of Computer and Information Science, National Chiao Tung University
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS | 1996年 / 26卷 / 04期
关键词：
D O I：
10.1109/3468.508828
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new method for evaluating weapon systems using fuzzy set theory. The proposed method is more flexible than the one presented in [11] due to the fact that it allows each item of criteria to have a different weight represented by a triangular fuzzy number. Furthermore, because the proposed method does not need to perform complicated entropy weight calculations as described in [11], its execution is much faster than the one shown in [11].
引用
收藏
页码：493 / 497
页数：5
相关论文
共 50 条
  • [31] A method for classification of red, blue, and green galaxies using fuzzy set theory
    Pandey, Biswajit
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2020, 499 (01) : L31 - L35
  • [32] Decision rule extraction method based on rough set theory and fuzzy set theory
    Wang, MC
    Wang, ZO
    Zhang, M
    Yan, P
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 2212 - 2216
  • [33] Using fuzzy set theory to assess basis set quality
    Sordo, JA
    CHEMICAL PHYSICS LETTERS, 1999, 302 (3-4) : 273 - 280
  • [34] Forecasting techniques using Fuzzy Set Theory
    Ulukan, Z
    Kahraman, C
    INNOVATION IN TECHNOLOGY MANAGEMENT - THE KEY TO GLOBAL LEADERSHIP: THE KEY TO GLOBAL LEADERSHIP, 1997, : 871 - 871
  • [35] MEASURING THE COMMERCIAL POTENTIAL OF NEW PRODUCT IDEAS USING FUZZY SET THEORY
    Sitnicki, Maksym W.
    Balan, Valeriy
    Tymchenko, Inna
    Sviatnenko, Viktoriia
    Sychova, Anastasiia
    INNOVATIVE MARKETING, 2021, 17 (02) : 149 - 163
  • [36] Threshold selection using fuzzy set theory
    Chaira, T
    Ray, AK
    PATTERN RECOGNITION LETTERS, 2004, 25 (08) : 865 - 874
  • [37] Fuzzy Set Theory and Information Retrieval Systems.
    Panyr, Jiri
    Nachrichten fuer Dokumentation, 1986, 37 (03): : 163 - 167
  • [38] A new nearest neighbor classification method based on fuzzy set theory and aggregation operators
    Ezghari, Soufiane
    Zahi, Azeddine
    Zenkouar, Khalid
    EXPERT SYSTEMS WITH APPLICATIONS, 2017, 80 : 58 - 74
  • [39] Evaluating the quality of service in mobile business based on fuzzy set theory
    Choi, Changwoo
    Kim, Chulhyun
    Sung, Nakwhan
    Park, Yongtae
    FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS, 2007, : 483 - 487
  • [40] A Method of Active Learning Based on Fuzzy Set Theory
    Hu, Feng
    Zhou, Lei
    Dai, Jin
    Liu, Ke
    2019 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA), 2019, : 695 - 700
12345