Parallel Construction of Variable Precision Concept Lattice in Fuzzy Formal Context

被引：6
|
作者：
Yang, Yafeng [1 ]
机构：
[1] Hebei United Univ, Qinggong Coll, Tangshan 063000, Peoples R China
来源：
2013 AASRI CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING AND SYSTEMS | 2013年 / 5卷
关键词：
Fuzzy parallel construction; variable pricision concept lattice; fuzzy cut; fuzzy concept lattice; GALOIS CONNECTIONS;
D O I：
10.1016/j.aasri.2013.10.081
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the fuzzy cut method, the fuzzy concept lattice was analyzed and researched and a new kind of concept lattice which called variable precision concept lattice was proposed. This kind of concept lattice can be constructed with every different confidence through selecting different level. Two corresponding construction methods, context cut method and concept cut method, were discussed in the two different angles, and some results were given. Furthermore, a case study was carried on. (C) 2013 The Authors. Published by Elsevier B.V. Selection and/or peer review under responsibility of American Applied Science Research Institute
引用
收藏
页码：214 / 219
页数：6
相关论文
共 50 条
  • [1] Construction of Fuzzy Linguistic Approximate Concept Lattice in an Incomplete Fuzzy Linguistic Formal Context
    Dongqiang Yang
    Xinran Yang
    Hui Jia
    Lixian Xu
    Jin Guo
    [J]. International Journal of Computational Intelligence Systems, 15
  • [2] Construction of Fuzzy Linguistic Approximate Concept Lattice in an Incomplete Fuzzy Linguistic Formal Context
    Yang, Dongqiang
    Yang, Xinran
    Jia, Hui
    Xu, Lixian
    Guo, Jin
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2022, 15 (01)
  • [3] Construction method of concept lattice based on improved variable precision rough set
    Zhang, Ruiling
    Xiong, Shengwu
    Chen, Zhong
    [J]. NEUROCOMPUTING, 2016, 188 : 326 - 338
  • [4] Double threshold construction method for attribute-induced three-way concept lattice in incomplete fuzzy formal context
    Long, Binghan
    Xu, Weihua
    Zhang, Xiaoyan
    [J]. JOURNAL OF ENGINEERING-JOE, 2020, 2020 (13): : 549 - 554
  • [5] A Rough Concept Lattice Model of Variable Precision
    Li, Yun
    Sheng, Yan
    Tian, Sufang
    Luan, Luan
    [J]. 2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL I, PROCEEDINGS, 2008, : 162 - 166
  • [6] Unifying Fuzzy Concept Lattice Construction Methods
    Boffa, Stefania
    De Maio, Carmen
    Di Nola, Antonio
    Fenza, Giuseppe
    Ferraioli, Anna Rita
    Loia, Vincenzo
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 209 - 216
  • [7] Construction of the L-fuzzy concept lattice
    Burusco, A
    Fuentes-Gonzalez, R
    [J]. FUZZY SETS AND SYSTEMS, 1998, 97 (01) : 109 - 114
  • [8] Fuzzy Concept Lattice Construction A Basis for Building Fuzzy Ontologies
    Cross, Valerie
    Kandasamy, Meenakshi
    [J]. IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 1743 - 1750
  • [9] Approach to knowledge reduction in formal context based on concept lattice
    Wang, Hong
    Zhang, Wen-Xiu
    [J]. PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 1048 - +
  • [10] Concept Lattice Construction through the Composition and Decomposition of Formal Contexts
    QI Jian-Jun~1
    2.Department of Mathematics
    3.Institute of Software Engineering
    [J]. 浙江海洋大学学报(自然科学版), 2010, 29 (05) : 488 - 493
12345