Type-2 fuzzy description logic

被引：0
|
作者：
Ruixuan Li
Kunmei Wen
Xiwu Gu
Yuhua Li
Xiaolin Sun
Bing Li
机构：
[1] Huazhong University of Science and Technology,Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology
[2] Wuhan University,State Key Laboratory of Software Engineering
来源：
Frontiers of Computer Science in China | 2011年 / 5卷
关键词：
description logic (DL); type-2 fuzzy attributive concept language with complements (ALC); fuzzy ontology; reasoning; semantic search engine;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Description logics (DLs) are widely employed in recent semantic web application systems. However, classical description logics are limited when dealing with imprecise concepts and roles, thus providing the motivation for this work. In this paper, we present a type-2 fuzzy attributive concept language with complements (ALC) and provide its knowledge representation and reasoning algorithms. We also propose type-2 fuzzy web ontology language (OWL) to build a fuzzy ontology based on type-2 fuzzy ALC and analyze the soundness, completeness, and complexity of the reasoning algorithms. Compared to type-1 fuzzy ALC, type-2 fuzzy ALC can describe imprecise knowledge more meticulously by using the membership degree interval. We implement a semantic search engine based on type-2 fuzzy ALC and carry out experiments on real data to test its performance. The results show that the type-2 fuzzy ALC can improve the precision and increase the number of relevant hits for imprecise information searches.
引用
收藏
页码：205 / 215
页数：10
相关论文
共 50 条
  • [31] Design of interval type-2 fuzzy logic controller
    Hsiao, Ming-Ying
    Li, Tzuu-Hseng S.
    2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, 2006, : 4976 - +
  • [32] Research on Type-2 TSK Fuzzy Logic Systems
    Zheng, Gao
    Wang, Jing
    Jiang, Lin
    FUZZY INFORMATION AND ENGINEERING, VOLUME 2, 2009, 62 : 491 - +
  • [33] Interval Type-2 Fuzzy Logic Washing Machine
    Nagarajan, D.
    Lathamaheswari, M.
    Kavikumar, J.
    Deenadayalan, E.
    INTERNATIONAL JOURNAL OF FUZZY LOGIC AND INTELLIGENT SYSTEMS, 2019, 19 (04) : 223 - 233
  • [34] Efficient triangular type-2 fuzzy logic systems
    Starczewski, Janusz T.
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2009, 50 (05) : 799 - 811
  • [35] Intelligent systems with interval type-2 fuzzy logic
    Castillo, Oscar
    Melin, Patricia
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2008, 4 (04): : 771 - 783
  • [36] Type-2 Fuzzy Logic Control for Airlane Monitoring
    Shrinivasan, Lakshmi
    Raol, J. R.
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2017, : 412 - 416
  • [37] A software tool: Type-2 fuzzy logic toolbox
    Ozek, Muzeyyen Bulut
    Akpolat, Zuhtu Hakan
    COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, 2008, 16 (02) : 137 - 146
  • [38] Fuzzy identification based on monotonicity and interval type-2 Fuzzy Logic
    Wang, Tiechao
    Yi, Jianqiang
    Li, Chengdong
    ICIC Express Letters, 2011, 5 (4 A): : 1107 - 1113
  • [39] Fuzzy estimation based on type-2 fuzzy logic for adaptive Control
    Chafaa, Kheireddine
    Slimane, Noureddine
    Khireddine, Mohamed Salah
    Ghanai, Mouna
    2014 WORLD SYMPOSIUM ON COMPUTER APPLICATIONS & RESEARCH (WSCAR), 2014,
  • [40] A New Type Reduction Method for Type-2 Fuzzy Logic Controller
    Lu, Tzyy-Chyang
    Chen, Shyh-Leh
    2013 CACS INTERNATIONAL AUTOMATIC CONTROL CONFERENCE (CACS), 2013, : 334 - +
12345