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Fuzzy Description Logics and t-norm based fuzzy logics [PDF]
International Journal of Approximate Reasoning, 2010 Peer ...
Eva Armengol, Francesc Esteva
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On similarity in fuzzy description logics [PDF]
Fuzzy Sets and Systems, 2016 This paper is a contribution to the study of similarity relations between objects represented as attribute-value pairs in Fuzzy Description Logics . For this purpose we use concrete domains in the fuzzy description logic IALCEF(D)IALCEF(D) associated either with a left-continuous or with a finite t-norm.
Eva Armengol +2 more
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Transforming Fuzzy Description Logics into Classical Description Logics [PDF]
, 2004 In this paper we consider Description Logics (DLs), which are logics for managing structured knowledge, with a well-known fuzzy extension to deal with vague information. While for fuzzy DLs ad-hoc, tableaux-like reasoning procedures have been given in the literature, the topic of this paper is to present a reasoning preserving transformation of fuzzy ...
Isti-cnr Via G. Moruzzi +1 more
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Reasoning within Fuzzy Description Logics [PDF]
Journal of Artificial Intelligence Research, 2001 Description Logics (DLs) are suitable, well-known, logics for managing structured knowledge. They allow reasoning about individuals and well defined concepts, i.e., set of individuals with common properties. The experience in using DLs in applications has shown that in many cases we would like to extend their capabilities.
Via G. Moruzzi, Umberto Straccia
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Bisimilarity and refinement for hybrid(ised) logics [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 The complexity of modern software systems entails the need for reconfiguration mechanisms gov- erning the dynamic evolution of their execution configurations in response to both external stimulus or internal performance measures.
Alexandre Madeira +2 more
doaj +1 more source
Algorithms for Instance Retrieval and Realization in Fuzzy Ontologies
Mathematics, 2020 Fuzzy description logics, the formalism behind fuzzy ontologies, are an important mathematical method with applications in many artificial intelligence scenarios. This paper proposes the first specific algorithms to solve two reasoning tasks with respect
Ignacio Huitzil +2 more
doaj +1 more source
Fuzzy Description Logics – A Survey [PDF]
, 2017 Mathematical Fuzzy Logics [51, 60] have a long tradition with roots going back to the many-valued logics of Łukasiewicz, Godel, and Kleene [57, 68, 73] and the Fuzzy Set Theory of Zadeh [111]. Their purpose is to model vagueness or imprecision in the real world, by introducing new degrees of truth as additional shades of gray between the Boolean true ...
Borgwardt, S, Peñaloza, R
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SEMANTIC IMAGE ANALYSIS USING A SYMBOLIC NEURAL ARCHITECTURE
Image Analysis and Stereology, 2010 Image segmentation and classification are basic operations in image analysis and multimedia search which have gained great attention over the last few years due to the large increase of digital multimedia content. A recent trend in image analysis aims at
Ilianna Kollia +3 more
doaj +1 more source
Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web Language
Fuzzy Information and Engineering, 2015 Nowadays semantic web languages play a vital role in representing ontologies. In order to deal with uncertainty in the semantic web languages, we need a concrete procedure to represent such information. We may tackle this problem by extending the current
D. Nilavu, R. Sivakumar
doaj +1 more source
On finitely-valued Fuzzy Description Logics
International Journal of Approximate Reasoning, 2014 Peer ...
Marco Cerami +2 more
openaire +4 more sources