Abstract
Language is basically the system used by humans for communication and covers a wide range of their activities. It is a social phenomenon resulting in an evolving system of great complexity. Language is inextricably linked to knowledge communication and representation, and is viewed here as a complex reality to be mathematically represented step by step, in a incremental fashion.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Alsina, C., Frank, M.J., Schweizer, B.: Associative Functions. Triangular Norms and Copulas. World Scientific, Singapore (2006)
Alsina, C., Guadarrama, S., Renedo, E., Trillas, E.: Studying fuzzy modus ponens. In: Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2006, Montreal, vol. II, pp. 426–429 (2006), doi:10.1109/NAFIPS.2006.365447
Birkhoff, G.: Lattice Theory, 3rd edn. (7th print). Amer. Math. Society, Colloq. Publs. (1993)
Cambridge dictionaries online. Internet address, http://dictionary.cambridge.org/
Collins word exchange. Internet address, http://www.collins.co.uk/wordexchange/
De Cock, M., Guadarrama, S., Nikravesh, M.: Fuzzy thesauri for and from the www. In: Nikravesh, M., Zadeh, L., Kacprzyk, J. (eds.) Soft Computing for Information Processing and Analysis. STUDFUZZ, vol. 164, pp. 275–284. Springer, Heidelberg (2004)
Guadarrama, S., Renedo, E.: A reflection on the use of and. In: Proceedings of the 4th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2005), Barcelona, pp. 571–575 (2005)
Guadarrama, S., Renedo, E., Trillas, E.: Some Fuzzy Counterparts of the Language uses of And and Or. In: Reusch, B. (ed.) Computational Intelligence: Theory and Practice, vol. 38, pp. 335–352. Springer (2006)
Halmos, P.R.: Naïve set theory. Van Nostrand, New York (1960)
Kolmogorov, A.N.: Foundations of the theory of probability. Chelsea Publishing Company, New York (1956)
Loer, C., Singh, H., Cheung, A., Guadarrama, S., Nikravesh, M.: Evaluating Ontology Based Search Strategies. In: Nikravesh, M., Zadeh, L., Kacprzyk, J. (eds.) Soft Computing For Information Processing And Analysis. STUDFUZZ, vol. 164, pp. 189–202. Springer, Heidelberg (2005)
McGinn, C.: Logical properties. Clarendon Press, Oxford (2000)
Pradera, A., Trillas, E., Guadarrama, S., Renedo, E.: On fuzzy set theories. In: Wang, P., Ruan, D., Kerre, E. (eds.) Fuzzy Logic. A Spectrum of Theoretical and Practical Issues. STUDFUZZ, vol. 215, pp. 15–47. Springer, Heidelberg (2007)
Trillas, E.: On the use of words and fuzzy sets. Information Sciences 176(11), 1463–1487 (2006)
Trillas, E., Alsina, C., Pradera, A.: Searching for the roots of non-contradiction and excluded-middle. International Journal of General Systems 31(5), 499–513 (2002)
Trillas, E., Cubillo, S., Castro, J.: Conjunction and disjunction on ([0,1], ≤). Fuzzy Sets and Systems 72, 155–165 (1995)
Trillas, E., Guadarrama, S.: What about fuzzy logic’s linguistic soundness? Fuzzy Sets and Systems 156, 334–340 (2005)
Txurruka, I.: The natural language conjunction and. Linguistics and Philosophy 26(3), 255–285 (2003)
Merriam-Webster Online Dictionary. Internet address, http://www.m-w.com/
The new international Webster’s Dictionary & Thesaurus. Trident Press, Chicago (1999)
Wittgenstein, L.: Investigaciones filosóficas. Instituto de Investigaciones Filosóficas, UNAM (1988)
Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)
Zadeh, L.A.: The concept of linguistic variable and its application to aproximate reasoning, parts i,ii,iii. Information Sciences 8, 199–249, 8, 301–357, 9, 43–80 (1975)
Zadeh, L.A.: Fuzzy logic = computing with words. IEEE Trans. Fuzzy Systems 4, 103–111 (1996)
Zadeh, L.A.: From computing with numbers to computing with words.from manipulation of measurements to manipulation of perceptions. In: Wang, P. (ed.) Computing with Words, pp. 35–68. John Wiley & Sons (2001)
Zadeh, L.A.: Precisiated natural language (PNL). AI Magazine 25(3), 74–91 (2004)
Zadeh, L.A.: A New Frontier in Computation? Computation with Information Described in Natural Language. In: Proceedings Symposium on Fuzzy Systems in Computer Science, FSCS, pp. 1–2 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Guadarrama, S., Renedo, E., Trillas, E. (2015). A First Inquiry on Semantic-Based Models of And . In: Seising, R. (eds) Accuracy and Fuzziness. A Life in Science and Politics. Studies in Fuzziness and Soft Computing, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-319-18606-1_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-18606-1_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18605-4
Online ISBN: 978-3-319-18606-1
eBook Packages: EngineeringEngineering (R0)