Paired structures in knowledge representation

被引:23
|
作者
Montero, J. [1 ,2 ]
Bustince, H. [3 ]
Franco, C. [4 ]
Rodriguez, J. T. [5 ]
Gomez, D. [6 ]
Pagola, M. [3 ]
Fernandez, J. [3 ]
Barrenechea, E. [3 ]
机构
[1] Univ Complutense, Fac Math, Plaza Ciencias 3, E-28040 Madrid, Spain
[2] Geosci Inst IGEO CSIC UCM, Plaza Ciencias 3, E-28040 Madrid, Spain
[3] Univ Publ Navarra, Dept Automat & Computac, Campus Arrosadia S-N, Pamplona 31006, Spain
[4] Univ Copenhagen, Fac Sci, IFRO, Bulowsvej 17, DK-1870 Frederiksberg C, Denmark
[5] Univ Complutense, Fac Math, Plaza Ciencias 3, E-28040 Madrid, Spain
[6] Univ Complutense, Fac Stat, Ave Puerta Hierro S-N, E-28040 Madrid, Spain
关键词
Knowledge representation; Paired structures; Neutral concepts; Bipolarity; FUZZY-SET THEORY; DECISION-MAKING; TERMINOLOGICAL DIFFICULTIES; COGNITIVE STRUCTURE; BIPOLAR; PREFERENCE; SEMANTICS; DIMENSION; LOGIC; RELEVANCE;
D O I
10.1016/j.knosys.2016.02.003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this position paper we propose a consistent and unifying view to all those basic knowledge representation models that are based on the existence of two somehow opposite fuzzy concepts. A number of these basic models can be found in fuzzy logic and multi-valued logic literature. Here it is claimed that it is the semantic relationship between two paired concepts what determines the emergence of different types of neutrality, namely indeterminacy, ambivalence and conflict, widely used under different frameworks (possibly under different names). It will be shown the potential relevance of paired structures, generated from two paired concepts together with their associated neutrality, all of them to be modeled as fuzzy sets. In this way, paired structures can be viewed as a standard basic model from which different models arise. This unifying view should therefore allow a deeper analysis of the relationships between several existing knowledge representation formalisms, providing a basis from which more expressive models can be later developed. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:50 / 58
页数:9
相关论文
共 50 条
  • [22] Three problems in logic-based, knowledge representation
    Miller, Rob
    ASLIB PROCEEDINGS, 2006, 58 (1-2): : 140 - 151
  • [23] KNOWLEDGE REPRESENTATION AND DECISION-MAKING - A HYBRID APPROACH
    WALLACE, I
    GOSS, S
    BLUFF, K
    LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 1992, 604 : 525 - 528
  • [24] Towards Systematic Treatment of Partial Functions in Knowledge Representation
    Markovic, Djordje
    Bruynooghe, Maurice
    Denecker, Marc
    LOGICS IN ARTIFICIAL INTELLIGENCE, JELIA 2023, 2023, 14281 : 756 - 770
  • [25] From Knowledge Organization to Knowledge Representation and Back
    Giunchiglia, Fausto
    Bagchi, Mayukh
    Das, Subhashis
    ANNALS OF LIBRARY AND INFORMATION STUDIES, 2024, 71 (01) : 137 - 149
  • [26] WHAT NEXT IN KNOWLEDGE REPRESENTATION?
    Rus, Vasile
    KEPT 2009: KNOWLEDGE ENGINEERING PRINCIPLES AND TECHNIQUES, 2009, : 14 - 23
  • [27] A Concept of Visual Knowledge Representation
    Jaworska, Tatiana
    MULTIMEDIA AND NETWORK INFORMATION SYSTEMS, 2019, 833 : 13 - 22
  • [28] Interval methods in knowledge representation
    Kreinovich V.
    International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems, 2010, 18 (02): : 223 - 224
  • [29] Advances in knowledge acquisition and representation
    Holder, Lawrence B.
    Markov, Zdravko
    Russell, Ingrid
    INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2006, 15 (06) : 867 - 874
  • [30] Medical Knowledge Representation System
    Buchtela, David
    Peleska, Jan
    Zvolsky, Miroslav
    Zvarova, Jana
    EHEALTH BEYOND THE HORIZON - GET IT THERE, 2008, 136 : 377 - +