Abstract
In this work we present novel methods of generating fuzzy implications from the given ones. We show that these methods lead to various and much richer algebraic structures on the set of all fuzzy implications than obtained in the literature so far.
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
Baczyński, M., Drewniak, J., Sobera, J.: Semigroups of fuzzy implications. Tatra Mt. Math. Publ. 21, 61–71 (2001)
Baczyński, M., Jayaram, B.: Fuzzy implications. STUDFUZZ, vol. 231. Springer, Berlin (2008)
Drewniak, J.: Invariant fuzzy implications. Soft Comput 10, 506–513 (2006)
Fodor, J.C., Roubens, M.: Fuzzy preference modelling and multicriteria decision support. Kluwer Academic Publishers, Dordrecht (1994)
Hungerford, T.: Algebra. Springer Science (1973)
Klement, E.P., Mesiar, R., Pap, E.: Triangular norms. Kluwer Academic Publishers, Dordrecht (2000)
Yager, R.R.: On some new classes of implication operators and their role in approximate reasoning. Inf. Sci. 167, 193–216 (2004)
Zadeh, L.A.: Outline of a new approach to the analysis of complex systems and decision process. IEEE Trans. on Syst. Man and Cyber. 3, 28–44 (1973)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vemuri, N.R., Jayaram, B. (2012). Fuzzy Implications: Novel Generation Process and the Consequent Algebras. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31715-6_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-31715-6_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31714-9
Online ISBN: 978-3-642-31715-6
eBook Packages: Computer ScienceComputer Science (R0)