Generalizing quantification in fuzzy description logics

Advances in Soft Computing

Volumn 33, Issue , 2006, Pages 397-411

  Sánchez, Daniel ^a   Tettamanzi, Andrea G B ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33845424518     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/3-540-31182-3_37     Document Type: Article

References (10)

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3. M. Delgado, M.J. Martín-Bautista, D. Sánchez, and M.A. Vila. A probabilistic definition of a nonconvex fuzzy cardinality. Fuzzy Sets and Systems, 126(2):41-54, 2002.
4. M. Delgado, D. Sánchez, and M.A. Vila. Fuzzy cardinality based evaluation of quantified sentences. International Journal of Approximate Reasoning, 23:23-66, 2000.
5. F. Díaz-Hermida, A. Bugarín, P. Cariñena, and S. Barro. Voting model based evaluation of fuzzy quantified sentences: A general framework. Fuzzy Sets and Systems. To appear.
6. I. Glöckner. Fundamentals of fuzzy quantification: Plausible models, constructive principles, and efficient implementation. Technical Report TR2002-07, Technical Faculty, University Bielefeld, 33501 Bielefeld, Germany, 2002.
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8. U. Straccia. Reasoning within fuzzy description logics. Journal of Artificial Intelligence Research, 14:137-166, 2001.
9. Christopher B. Tresp and Ralf Molitor. A description logic for vague knowledge. In Proceedings of the 13th biennial European Conference on Artificial Intelligence (ECAI'98), pages 361-365, Brighton, UK, 1998. J. Wiley and Sons.
10. L. A. Zadeh. A computational approach to fuzzy quantifiers in natural languages. Computing and Mathematics with Applications, 9(1):149-184, 1983.