Synthesizing spaces for restoring membership functions in fuzzy image recognition problems

被引：0
|
作者：
Vasil'yev, V.I. [1 ]
Sushko, V.I. [1 ]
机构：
[1] Glushkov Institute of Cybernetics, Kiev, Ukraine
来源：
Journal of Automation and Information Sciences | 1996年 / 28卷 / 05期
关键词：
Estimation - Fuzzy sets - Membership functions - Problem solving;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new scaling method that leads to the restoration of the membership function in fuzzy image recognition problems is introduced. For purposes of illustration, a multidimensional nonparametric scaling problem which is essentially a problem of restoring the membership set is formulated. The formulated problem is solved by using two procedures denoted as NS-1 and NS-2.
引用
收藏
页码：65 / 71
相关论文
共 50 条
  • [21] On fuzzy ellipsoid numbers and membership functions
    Wang, Guixiang
    Shi, Peng
    Agarwal, Ramesh K.
    Shi, Yan
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 31 (01) : 391 - 403
  • [22] Analytically derived fuzzy membership functions
    Zhang, Weiping
    Kumar, Mohit
    Zhou, Yunfeng
    Yang, Jingzhi
    Mao, Yihua
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 5): : 11849 - 11876
  • [23] Membership functions for fuzzy focal elements
    Porebski, Sebastian
    Straszecka, Ewa
    ARCHIVES OF CONTROL SCIENCES, 2016, 26 (03): : 395 - 427
  • [24] Fuzzy-rough membership functions
    Sarkar, M
    Yegnanarayana, B
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 2028 - 2033
  • [25] GENETIC OPTIMIZATION OF FUZZY MEMBERSHIP FUNCTIONS
    Zhang, Huai-Xiang
    Wang, Feng
    Zhang, Bo
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2009, : 465 - 470
  • [26] Rough-fuzzy membership functions
    Sarkar, M
    Yegnanarayana, B
    1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2, 1998, : 796 - 801
  • [27] MQSMER: a mixed quadratic shape model with optimal fuzzy membership functions for emotion recognition
    Priya, R. Vishnu
    Vijayakumar, V.
    Tavares, Joao Manuel R. S.
    NEURAL COMPUTING & APPLICATIONS, 2020, 32 (08): : 3165 - 3182
  • [28] MQSMER: a mixed quadratic shape model with optimal fuzzy membership functions for emotion recognition
    R. Vishnu Priya
    V. Vijayakumar
    João Manuel R. S. Tavares
    Neural Computing and Applications, 2020, 32 : 3165 - 3182
  • [29] Fuzzy clustering analysis for optimizing fuzzy membership functions
    Chen, MS
    Wang, SW
    FUZZY SETS AND SYSTEMS, 1999, 103 (02) : 239 - 254
  • [30] Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions
    Tolias, YA
    Panas, SM
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 1998, 28 (03): : 359 - 369
12345