30.11.2012 Views

Conceptual graphs and fuzzy logic: A fusion for representing and ...

Conceptual graphs and fuzzy logic: A fusion for representing and ...

Conceptual graphs and fuzzy logic: A fusion for representing and ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

95.<br />

96.<br />

97.<br />

98.<br />

99.<br />

100.<br />

101.<br />

102.<br />

103.<br />

104.<br />

105.<br />

106.<br />

107.<br />

108.<br />

109.<br />

110.<br />

111.<br />

112.<br />

113.<br />

114.<br />

115.<br />

116.<br />

117.<br />

118.<br />

Lawry, J., An alternative interpretation of linguistic variables <strong>and</strong> computing with words (2000) Proceedings of the 8th<br />

International Conference on In<strong>for</strong>mation Processing <strong>and</strong> Management of Uncertainty in Knowledge-Based Systems, pp.<br />

1743-1750<br />

Lawry, J., Modelling <strong>and</strong> reasoning with vague concepts (2006) SCI, 12. , Springer, Heidelberg<br />

Leacock, C., Chodorow, M., Combining local context <strong>and</strong> WordNet similarity <strong>for</strong> word sense identification (1998)<br />

WordNet: An Electronic Lexical Database, pp. 265-284. , Fellbaum, C. (ed.). MIT Press, Cambridge<br />

Lee, R.C.T., Fuzzy <strong>logic</strong> <strong>and</strong> the resolution principle (1972) Journal of, 19, pp. 109-119. , ACM<br />

Lei, Y., Uren, V., Motta, E., Semsearch: A search engine <strong>for</strong> the Semantic Web (2006) LNCS (LNAI), 4248, pp. 238-245. ,<br />

Staab, S., Svátek, V. (eds.) EKAW 2006. Springer, Heidelberg<br />

Levenshtein, V.I., Binary codes capable of correcting deletions, insertions, <strong>and</strong> reversals (1966) Soviet Physics-Doklady,<br />

10, pp. 707-710<br />

Li, D., Liu, D., (1990) A Fuzzy Prolog Database System, , Research Studies Press, London<br />

Lin, D., An in<strong>for</strong>mation-theoretic definition of similarity (1998) Proceedings of the 15th International Conference on<br />

Machine Learning, pp. 296-304<br />

Liu, Y., Kerre, E., An overview of <strong>fuzzy</strong> quantifiers-(I) Interpretations (II) Reasoning <strong>and</strong> applications (1998) International<br />

Journal <strong>for</strong> Fuzzy Sets <strong>and</strong> Systems, 95 (1-21), pp. 135-146<br />

Lloyd, J.W., (1987) Foundations of Logic Programming, , 2nd extended edn. Springer Berlin<br />

Lopez De Mantaras, R., Godo, L., From intervals to <strong>fuzzy</strong> truth-values: Adding flexibility to reasoning under uncertainty<br />

(1997) International Journal of Uncertainty, Fuzziness <strong>and</strong> Knowledge-Based Systems, 5 (3), pp. 251-260<br />

Lu, J.J., Nerode, A., Subrahmanian, V.S., Hybrid knowledge bases (1996) IEEE Transactions on Knowledge <strong>and</strong> Data<br />

Engineering, 8, pp. 773-785<br />

Magrez, P., Smets, P., Fuzzy modus ponens: A new model suitable <strong>for</strong> applications in knowledge-based systems (1989)<br />

International Journal of Intelligent Systems, 4, pp. 181-200<br />

Manning, C.D., Raghavan, P., Schütze, H., (2008) Introduction to In<strong>for</strong>mation Retrieval, , Cambridge University Press,<br />

New York<br />

(1993) Many-Sorted Logic <strong>and</strong> Its Applications, , Meinke, K., Tucker, J.V. (eds.). John Wiley & Sons, Chichester<br />

Mendel, J.M., Zadeh, L.A., Trillas, E., Yager, R., Lawry, J., Hagras, H., Guadarrama, S., What computing with words<br />

means to me (2010) IEEE Computational Intelligence Magazine<br />

Mitaim, S., Kosko, B., Neural <strong>fuzzy</strong> agents <strong>for</strong> profile learning <strong>and</strong> adaptive object matching (1998) Presence, 7, pp. 617-<br />

637<br />

Miyamoto, S., (1990) Fuzzy Sets in In<strong>for</strong>mation Retrieval <strong>and</strong> Cluster Analysis, , Kluwer Academic Publishers, Dordrecht<br />

Monge, A.E., Elkan, C.P., The field-matching problem: Algorithm <strong>and</strong> applications (1996) Proceedings of the 2nd<br />

International Conference on Knowledge Discovery <strong>and</strong> Data Mining, pp. 267-270. , AAAI Press, Menlo Park<br />

Moore, R.E., (1966) Interval Analysis, , Prentice Hall, Englewood Cliffs<br />

Morton, S.K., (1987) <strong>Conceptual</strong> Graphs <strong>and</strong> Fuzziness in Artificial Intelligence, , PhD Thesis University of Bristol<br />

Mugnier, M.L., On generalization/specialization <strong>for</strong> conceptual <strong>graphs</strong> (1995) Journal of Experimental <strong>and</strong> Theoretical<br />

Artificial Intelligence, 7, pp. 325-344<br />

Mukaidono, M., Shen, Z., Ding, L., Fundamentals of <strong>fuzzy</strong> Prolog (1989) International Journal of Approximate Reasoning,<br />

3, pp. 179-194<br />

Mulhem, P., Leow, W.K., Lee, Y.K., Fuzzy conceptual <strong>graphs</strong> <strong>for</strong> matching images of natural scenes (2001) Proceedings of<br />

the 17th International Joint Conference on Artificial Intelligence, pp. 1397-1402

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!