Reasoning and quantification in fuzzy description logics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3849 LNAI, Issue , 2006, Pages 81-88

  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

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; FORMAL LOGIC; LINEAR SYSTEMS; SEMANTICS;

FUZZY ASSERTIONS; FUZZY DESCRIPTION LOGICS; FUZZY QUANTIFIERS; LINEAR FUNCTIONS;

FUZZY SETS;

EID: 33745174810     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11676935_10     Document Type: Conference Paper

References (8)

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3. M. Delgado, D. Sánchez, and M.A. Vila. Fuzzy cardinality based evaluation of quantified sentences. International Journal of Approximate Reasoning, 23:23-66, 2000.
4. Mirko Navara. Satisfiability in fuzzy logics. Neural Networks World, 10(5):845-858, 2000.
5. Daniel Sánchez and Andrea G. B. Tettamanzi. Generalizing quantification in fuzzy description logics. In Proceedings 8th Dortmund Fuzzy Days, Dortmund, Germany, 2004.
6. Umberto Straccia. Reasoning within fuzzy description logics. Journal of Artificial Intelligence Research, 14:137-166, 2001.
7. 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.
8. L. A. Zadeh. A computational approach to fuzzy quantifiers in natural languages. Computing and Mathematics with Applications, 9(1):149-184, 1983.