Abstract
The study of the relationships between conjectures, hypotheses, refutations and speculations have been studied by Professor Enric Trillas and coworkers in the classical case to the point of having well clarified its main properties in rather general structures as the orthocomplemented lattices. In the framework of a possibilistic interpretation of fuzzy logic, these models have been studied from the point of view of a crisp reasoning. In this work these models defined by graduated consequences relations are studied under a fuzzy algebraic structure general enough that it can accommodate various common phenomena in natural language reasoning.
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Notes
- 1.
It will be the pointwise equally between fuzzy sets, but it is not strictly necessary.
- 2.
With \(T=\min \), the classical relations \(\preccurlyeq _{r}\) are reflexive and transitive relations.
- 3.
If the negation is strong, if \(\mu \) is contradictory with \(\rho \) is equivalent to \(\rho \) is contradictory with \(\mu \) because \(0 < r < \mu \preccurlyeq \rho ' \le \rho '' \preccurlyeq \mu ' = \rho \preccurlyeq \mu '\).
- 4.
If \(P\) is clear from the context we use \(\rho \) instead of \(\rho _P\) to reference the résumé of \(P.\)
- 5.
Note that in a framework of a grade ordering relation, first condition is a strong one but necessary to avoid self-contradiction.
References
Lewis, C.: What the tortoise said to Achilles. Mind 104(416), 691–693 (1995)
Itziar, G-H., Enric, T.: On an attempt to formalize guessing. In: Rudolf, S., González, V.S. (eds.) Soft Computing in Humanities and Social Sciences. Studies in Fuzziness and Soft Computing, vol 273, pp. 237–255, Springer, Berlin (2012)
John, M.: From here to human-level AI. Artif Intell 171(18), 1174–1182 (2007). Special Review Issue
Marvin, M.: The Emotion Machine. Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. Simon and Schuster (2007)
Nilsson, N.J.: Human-level artificial intelligence? Be serious!. AI Mag. 26(4), 68 (2005)
Popper, K.R.: Conjectures and Refutations: The Growth of Scientific Knowledge. Harper and Row, New York (1968)
Tarski, A.: Methodology of deductive sciences. In: Logic, S. (ed.) Metamathematics, vol. 24, pp. 60–109. Clarendon Press, Oxford (1956)
Trillas, E., Alsina, C.: Elkan’s theoretical argument, reconsidered. Int. J. Approx. Reason. 26(2), 145–152 (2001)
Enric, T., Alsina, C., Pradera, A.: On a class of fuzzy set theories. In: IEEE International Fuzzy Systems Conference, 2007. July 2007, pp. 1-5 (2007)
Trillas, E., Sanchez, D.: Conjectures in de morgan algebras. In: 2012 Annual Meeting of the North American, Fuzzy Information Processing Society (NAFIPS), pp. 1–6 (2012)
Trillas, E.: Non contradiction, excluded middle, and fuzzy sets. In: Fuzzy Logic and Applications, pp. 1–11, Springer (2009)
Trillas, E.: A model for “crisp reasoning” with fuzzy sets. Int. J. Intell. Syst. 27(10), 859–872 (2012)
Trillas, E., Cubillo, S., Castiñeira, E.: On conjectures in orthocomplemented lattices. Artif. Intell. 117(2), 255–275 (2000)
Trillas, E., García-Honrado, I., Pradera, A.: Consequences and conjectures in preordered sets. Inf. Sci. 180(19), 3573–3588 (2010)
Valverde, L.: On the structure of F-indistinguishability operators. Fuzzy Sets Syst. 17(3), 313–328 (1985)
Ying, M., Wang, H.: Lattice-theoretic models of conjectures, hypotheses and consequences. Artif. Intell. 139(2), 253–267 (2002)
Zadeh, L.A.: From computing with numbers to computing with words from manipulation of measurements to manipulation of perceptions. Int. J. Appl. Math. Comput. Sci. 12(3), 307–324 (2002)
Zadeh, L.A.: Is there a need for fuzzy logic? Inf. Sci. 178(13), 2751–2779 (2008)
Acknowledgments
I would like to thank Professor Enric Trillas for their support in carrying out this work and for an enriching collaboration during my research career. Also I acknowledge the support of the Spanish Ministry for Economy and Innovation and the European Regional Development Fund (ERDF/FEDER) under grant TIN2011-29827-C02-02.
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de Soto, A.R. (2015). Graduated Conjectures. In: Seising, R., Trillas, E., Kacprzyk, J. (eds) Towards the Future of Fuzzy Logic. Studies in Fuzziness and Soft Computing, vol 325. Springer, Cham. https://doi.org/10.1007/978-3-319-18750-1_16
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