PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Straccia U., Bobillo F. Mixed Integer Programming, General Concept Inclusions and Fuzzy Description Logics. In: Mathware & Soft Computing, vol. 14 (3) pp. 247 - 259. Departament of Computer Science and Artificial Intellingence of the University of Granada and Secció de Matemàtiques i Informàtica of the Universitat Politècnica de Catalunya (eds.). EUSFLAT, 2007.
 
 
Abstract
(English)
Fuzzy Description Logics (fuzzy DLs) have been proposed as a language to describe structured knowledge with vague concepts. In~Straccia 2005, a solution based on Mixed Integer Linear Programming has been proposed to deal with fuzzy DLs under Lukasiewicz semantics in which typical membership functions, such as triangular and trapezoidal functions, can be explicitly represented in the language. A major theoretical and computational limitation so far is the inability to deal with General Concept Inclusions (GCIs), which is an important feature of classical DLs. In this paper, we address this issue and develop a calculus for fuzzy DLs with GCIs under various semantics: classical logic, ``Zadeh semantics'', and Lukasiewicz logic.
Subject Description Logics, Fuzzy Logic
I.2.4 Knowledge Representation Formalisms and Methods


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