Advanced Search
Volume 31 Issue 8
Dec.  2010
Turn off MathJax
Article Contents
Chen Hao, Yang Jun-an, Huang Wen-jing. Intuitionistic Fuzzy Conditional Reasoning Based on Conditional Entropy[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1852-1855. doi: 10.3724/SP.J.1146.2008.01215
Citation: Chen Hao, Yang Jun-an, Huang Wen-jing. Intuitionistic Fuzzy Conditional Reasoning Based on Conditional Entropy[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1852-1855. doi: 10.3724/SP.J.1146.2008.01215

Intuitionistic Fuzzy Conditional Reasoning Based on Conditional Entropy

doi: 10.3724/SP.J.1146.2008.01215
  • Received Date: 2008-09-25
  • Rev Recd Date: 2009-02-23
  • Publish Date: 2009-08-19
  • This paper proposes one new method of integrating intuitionistic fuzzy conditional reasoning with conditional entropy based on the hypothesis of an equilibrium state of supportability and opposability of neutral evidences indicated in the intuitionistic index. The first component and last component as conditional attributes and decision attributes in decision and information system is considered. For conditional attributes, decision attributes and decision rules all can be treated as intuitionistic fuzzy propositions, the confidence degree of intuitionistic fuzzy propositions is measured by conditional entropy. At the same time, the range of conditional entropy, which demonstrates the confidence degree of intuitionistic fuzzy propositions is also calculated.
  • loading
  • Cornelis C K.[J].Atanassov T, and Kerre E E. Intuitionisticfuzzy sets and interval valued fuzzy sets: A criticalComparison[C]. Proc. Third European Conf. on Fuzzy Logicand Technol. (EUSFLAT03), Zittau, Germany.2003,:-[2]Deschrijver G and Kerre E E. On the relationship betweensome extensions of fuzzy set theory[J].Fuzzy Sets Syst.2003,133(2):227-235[3]Atanassov Krassimir T, Kacprzyk Janusz, and SzmidtEulalia, et al.. On separability of intuitionistic fuzzy sets[J].Lecture Notes in Artificial Intelligence, 2003, 2715(5):285-292.[4]雷英杰, 王宝树, 王晶晶. 直觉模糊条件推理与可信度传播[J],电子与信息学报, 2006, 28(10): 1790-1793Lei Ying-jie, Wang Bao-shu, and Wang Jing-jing.Intuitionistic fuzzy conditional reasoning with the confidencespreading[J].. Journal of Electronics InformationTechnology.2006, 28(10):1790-1793[5]雷英杰, 王宝树, 王毅. 基于直觉模糊推理的威胁评估方法[J].电子与信息学报.2007, 29(9):2077-2081浏览[6]雷英杰, 王宝树, 路艳丽. 基于自适应直觉模糊推理的威胁评估方法[J].电子与信息学报.2007, 29(12):2805-2809浏览[7]何映思, 全海金, 邓辉文. 具有还原性的多重多维模糊推理算法[J]. 计算机科学, 2007, 34(4): 145-147.He Ying-si, Quan Hai-jin, and Deng Hui-wen. An algorithm ofgeneral fuzzy inference with the reduction property[J].Science of Computers, 2007, 34(4): 145-147.[8]Li Deng-Feng. Multiattribute decision making models andmethods using intuitionistic fuzzy sets[J].Journal of Computerand Systems Sciences.2005, 70(1):73-85[9]王国胤, 于洪, 杨大春. 基于条件信息熵的决策表约简[J]. 计算机学报, 2002, 25(7): 759-766.Wang Guo-yin, Yu Hong, and Yang Da-chun. Decision tablereduction on conditional information entropy[J]. ChineseJournal of Computers, 2002, 25(7): 759-766.[10]邓大勇, 黄厚宽, 李向军. 不一致决策系统中约简之间的比较[J]. 电子学报, 2007, 35(2): 252-255.Deng Da-yong, Huang Hou-kuan, and Li Xiang-jun.Comparison of various types of reduction in inconsistentsystems[J]. Acta Electronica Sinica, 2007, 35(2): 252-255.[11]杨明. 决策表中基于条件信息熵的近似约简[J]. 电子学报,2007, 35(10): 2156-2160.Yang Ming. Approximate reduction based on conditionalinformation entropy in decision tables[J]. Acta ElectronicaSinica, 2007, 35(10): 2156-2160.[12]Miao Duo-quan and Wang Jue. An information-basedalgorithm for reduction of knowledge[C]. IEEE ICIPS97,jinan, China, 1997: 1155-1158.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3078) PDF downloads(877) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return