Abstract
In this paper we are concerned with the formalization of a similarity-based type of reasoning dealing with expressions of the form approximately ϕ, where ϕis a fuzzy proposition. From a technical point of view we need a fuzzy logic as base logic to deal with the fuzziness of propositions and also we need a modality to account for the notion of approximation or closeness. Therefore we propose a modal fuzzy logic with semantics based on Kripke structures where the accessibility relations are fuzzy similarity relations measuring how similar are the possible worlds.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dubois, Didier; Prade, Henri. Similarity-based approximate reasoning. Irit/94-10-r, Institut de Recherche en Informatique de Toulouse, 1994.
Dubois, Didier; Prade, Henri. Comparison of two fuzzy set-based logics: similarity logic and posibilistic logic. In FUZZ-IEEE’;95, Yokohama, Japan, 1995. IEEE Press, 1319–1326.
Esteva, F.; Garcia, P.; Godo, L.; RodráDguez, R. A modal account of similarity-based reasoning. International Journal of Approximate Reasoning, 1997, 16(3/4): 312–344.
Fitting, Melvin. Many-valued modal logics. Fundamenta Informaticae, 1991, 15:235–254.
Melvin, Fitting, Many-valued modal logics (II). Fundamenta Informaticae, 1992, 17:55–73.
Gabay, D. M.; How to make your logic fuzzy (fibred semantic and weaving of logics, part 3. In Fuzzy Set, Logics, and Artificial Intelligence, D. Dubois, E. P. Klement, and H. Prade, editors, Linz, Austria, 1996 February. Fuzzy Logic Laboratorium Linz-Hagenberg. Austria, 69-89.
Gabay, D. M.; Fibring, labelling. Two methods for making modal logic fuzzy. In M. Mares, R. Mesiar, V. Novak, J. Ramík, Stupnanová A. editors, IFSA’97. Seventh International Fuzzy Systems Association World Congress, volume 1, Prague.Czech Republic, 1997 June, University of Economics., Academia, Prague.
Hajek, Petr. Fuzzy logic and arithmetical hierarchy. Fuzzy Sets and Systems, 1995, (73):359–363. Note.
Hajek, Petr. Metamathematics of FuzzyLlogic. Kluwer, 1rt. edition, 1998.
Hajek, Petr. Harmancová Dagmar, A many-valued modal logic. IPMU’;96, Granada, Spain, 1996, 1021–1024.
Klawonn, F.; Castro, J. L. Similarity in fuzzy reasoning. Mathware & Soft Computing, 1995, (2): 197–228.
Liau, Churn J. Logics with semantics based on rough set theory. Proc. of IPMU’98, Paris, France, 1998 July, (long version of the paper, submitted).
Niiniluoto, Ilkka. Truthlikeness volume 185 of Synthese Library. D.Reidel Publishing Company, 1rt. edition, 1987.
De Rijke, Maarten; Venema, Yde. Sahlqvist’s theorem for boolean algebras with operators with an application to cylindric algebras. Studia Logica, 1995, 54:61–78.
Van Benthem, Johan. Correspondence theory. In Handbook of Philosophical Logic. Extensions of Classical Logic D. Gabbay and F. Guenthner, editors, volume II, Kluwer, 1984, 167–248.
Ying, Ming-Sheng. On standard models of fuzzy modal logics. Fuzzy Set and Systems, 1988, 26:357–363.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media New York
About this chapter
Cite this chapter
Godo, L., Rodríguez, R.O. (1999). A Fuzzy Modal Logic for Similarity Reasoning. In: Chen, G., Ying, M., Cai, KY. (eds) Fuzzy Logic and Soft Computing. The International Series on Asian Studies in Computer and Information Science, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5261-1_3
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5261-1_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7399-5
Online ISBN: 978-1-4615-5261-1
eBook Packages: Springer Book Archive