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
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
  • [1] Evaluating weapon systems using ranking fuzzy numbers
    Cheng, CH
    FUZZY SETS AND SYSTEMS, 1999, 107 (01) : 25 - 35
  • [2] Evaluating weapon systems using fuzzy arithmetic operations
    Chen, SM
    FUZZY SETS AND SYSTEMS, 1996, 77 (03) : 265 - 276
  • [3] A new method for CBR prediction using fuzzy set theory
    Cuvalcioglu, Gokhan
    Taciroglu, Murat Vergi
    Bal, Arif
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 447
  • [4] An Outlier Fuzzy Detection Method Using Fuzzy Set Theory
    Jin, Lizhong
    Chen, Junjie
    Zhang, Xiaobo
    IEEE ACCESS, 2019, 7 : 59321 - 59332
  • [5] Study on the accuracy of comprehensive evaluating method based on fuzzy set theory
    Xu Weixiang1 & Liu Xumin21. School of Traffic & Transportation
    2. School of Information Engineering
    JournalofSystemsEngineeringandElectronics, 2005, (02) : 330 - 334
  • [6] A new stability condition for fuzzy control systems by using equivalence class in set theory
    Dong Juxiang
    Yang Guang-Hong
    Ma Hong-Jun
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 3470 - 3475
  • [7] FUZZY SET-THEORY FOR IMPROVING AND EVALUATING RELIABILITY OF COMPLEX-SYSTEMS
    KIYASBEILI, SA
    MAMEDOV, VM
    AUTOMATION AND REMOTE CONTROL, 1982, 43 (12) : 1617 - 1623
  • [8] SMOTE-FRST: A NEW RESAMPLING METHOD USING FUZZY ROUGH SET THEORY
    Ramentol, E.
    Verbiest, N.
    Bello, R.
    Caballero, Y.
    Cornelis, C.
    Herrera, F.
    UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2012, 7 : 800 - 805
  • [9] Using of Fuzzy Set Theory when Designing Technical Systems
    Kozlova, L. P.
    Kozlova, O. A.
    2015 XVIII International Conference on Soft Computing and Measurements (SCM), 2015, : 193 - 194
  • [10] Evaluating Recruitment Strategies Using Fuzzy Set Theory in Stochastic Manpower Planning
    De Feyter, Tim
    Guerry, Marie-Anne
    STOCHASTIC ANALYSIS AND APPLICATIONS, 2009, 27 (06) : 1148 - 1162