Empirical determination of membership functions for stimuli comparison

被引:0
|
作者
Verdegay, JL
Sancho, A
机构
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A generalization of the classical problem in Psychology of the modeling of stimuli discrimination is considered When in this context fuzzy attributes are assumed, from a practical point of view the main problem to be solved is that of the construction of the membership functions with which the experts involved define that attribute. Hence, in this paper, conventional elicitation membership functions methods are briefly surveyed. Because of its useless in the problem approached, a tailored method is designed and shown. According to this method, a real practical problem is solved. Finally, coherence measures are introduced, and some of their properties are presented and analyzed.
引用
收藏
页码:1327 / 1332
页数:6
相关论文
共 50 条
  • [21] Empirical Comparison of Niching Methods on Hybrid Composition Functions
    Yu, L.
    Suganthan, P. N.
    2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8, 2008, : 2194 - 2201
  • [22] An empirical comparison of training algorithms for radial basis functions
    Ortiz-Gómez, M
    Hernández-Espinosa, C
    Fernández-Redondo, M
    ARTIFICIAL NEURAL NETS PROBLEM SOLVING METHODS, PT II, 2003, 2687 : 129 - 136
  • [23] Comparison on Membership Functions in Fuzzy k-Member Clustering for Data Anonymization
    Kawano, Arina
    Honda, Katsuhiro
    Notsu, Akira
    Ichihashi, Hidetomo
    6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS, 2012, : 2004 - 2008
  • [24] Comparison of Triangular and Trapezoidal Membership Functions for Improving Decision Making In Crime Prevention
    Noor, Noor Maizura Mohamad
    Ab Hamid, Siti Haslini
    DSS 2.0 - SUPPORTING DECISION MAKING WITH NEW TECHNOLOGIES, 2014, 261 : 69 - +
  • [25] EXTENDING EQUIVALENCE CLASS MEMBERSHIP TO GUSTATORY STIMULI
    HAYES, LJ
    TILLEY, KJ
    HAYES, SC
    PSYCHOLOGICAL RECORD, 1988, 38 (04): : 473 - 482
  • [26] Combining belief functions and fuzzy membership functions
    Florea, MC
    Jousselme, AL
    Grenier, D
    Bossé, T
    MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2003, 2003, 5099 : 113 - 122
  • [27] Determination of Fuzzy Logic Membership Functions Using Extended Ant Colony Optimization Algorithm
    Jiang, Huan
    Deng, Huiwen
    He, Yingsi
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS, 2008, : 581 - +
  • [28] DETERMINATION OF CONTROL ACTIONS AT THE OUTPUT OF THE FUZZY CONTROLLER WITH IDENTICAL TRIANGULAR MEMBERSHIP FUNCTIONS WITH CONSTRAINT
    Gostev, V. I.
    Skurtov, S. N.
    Panchenko, I. V.
    RADIO ELECTRONICS COMPUTER SCIENCE CONTROL, 2007, 2 : 132 - 134
  • [29] On a class of smooth membership functions
    Azerbaijan State Oil Academy, Baku, Azerbaijan
    不详
    J Autom Inform Sci, 2012, 3 (57-71):
  • [30] Membership functions for spatial proximity
    Brennan, Jane
    Martin, Eric
    AI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4304 : 942 - +