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FIF 2013 - Special Session on Fuzzy Implication Functions
Topics/Call fo Papers
Organizers: Michał Baczyński, Sebastià Massanet
Fuzzy Implication Functions are a generalization of the classical two-valued implication to the infinite-valued setting.
They play an important role both in the theory and application, as can be seen from their use in, among others, Multi-Valued Logic, Approximate Reasoning, Fuzzy Control, Image Processing and Data Analysis.
The goal of this invited session is to bring together researchers interested in recent advances in the theory of fuzzy implications, concerning, among others, characterizations, representations, generalizations and their relationships with fuzzy negations, triangular norms, uninorms and other fuzzy logic connectives.
Fuzzy Implication Functions are a generalization of the classical two-valued implication to the infinite-valued setting.
They play an important role both in the theory and application, as can be seen from their use in, among others, Multi-Valued Logic, Approximate Reasoning, Fuzzy Control, Image Processing and Data Analysis.
The goal of this invited session is to bring together researchers interested in recent advances in the theory of fuzzy implications, concerning, among others, characterizations, representations, generalizations and their relationships with fuzzy negations, triangular norms, uninorms and other fuzzy logic connectives.
Other CFPs
- Special Session on Decision Analysis And Support In Risk Management With Soft Computing
- Special Session on Advances In Bipolarity Applied To Databases And Information Systems
- The 8th conference of the European Society for Fuzzy Logic and Technology, EUSFLAT-2013
- the Eighth International Conference on Rough Sets and Knowledge Technology (RSKT2013)
- 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC13)
Last modified: 2013-05-26 13:57:20