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Foundations of reasoning with uncertainty via real-valued logics. [PDF]
Fagin R, Riegel R, Gray A.
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Fuzzy Linguistic Summaries and the Double Negation Property
Katarzyna Mis +2 more
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Interval Negation in Fuzzy Logics
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society, 2007This paper continues investigation of systems of fuzzy interval logics based on the Checklist Paradigm semantics of Bandler and Kohout. The paper looks at the alternative negations that may appear in the interval system rti\. In the previous papers dealing with checklist paradigm based interval systems the 2ary connectives were the interval connectives
Eunjin Kim, Ladislav J. Kohout
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2012
FLcom is a fuzzy propositional logic with contradictory negation, opposite negation and medium negation which corresponds to fuzzy set FScom. Based on theories of FLcom, this paper took a financial decision making for example, adopted Distance Ratio Function to give an evaluation to fuzzy propositional, gave a method to ascertain value of ( in the ...
Shanshan Wang, Zhenghua Pan, Lei Yang
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FLcom is a fuzzy propositional logic with contradictory negation, opposite negation and medium negation which corresponds to fuzzy set FScom. Based on theories of FLcom, this paper took a financial decision making for example, adopted Distance Ratio Function to give an evaluation to fuzzy propositional, gave a method to ascertain value of ( in the ...
Shanshan Wang, Zhenghua Pan, Lei Yang
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On n-dimensional strict fuzzy negations
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016n-dimensional fuzzy sets are an extension of fuzzy sets where the membership values are n-truples of real numbers in the unit interval [0, 1] ordered in increasing order, called n-dimensional intervals. The set of n-dimensional intervals is denoted by L n ([0, 1]).
Ivan Mezzomo +4 more
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Fuzzy Implications Generating from Fuzzy Negations
2018A basic building block in the foundation of fuzzy neural networks is the theory of fuzzy implications. Fuzzy implications play a crucial role in this topic. The aim of this paper is to find a new method of generating fuzzy implications. based on a given fuzzy negation.
Georgios Souliotis, Basil Papadopoulos
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Fuzzy Sets and Systems, 2010
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Negations on type-2 fuzzy sets
Fuzzy Sets and Systems, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hernández, Pablo +2 more
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Atanassov’s Intuitionistic Contractive Fuzzy Negations
2010In this work we consider the concept of contractive Atanassov’s intuitionistic mapping. In particular, we show that with our definitions, the only strict (strong) contractive negation is the standard one.
Benjamin Bedregal +4 more
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Moore Continuous n-Dimensional Interval Fuzzy Negations
2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018n-dimensional fuzzy sets are an generalizing some extensions of fuzzy sets, such as, interval-valued fuzzy sets, interval-valued Atanassov intuitionistic fuzzy sets and fuzzy mul-tisets, where the membership values are n-truples of real numbers in the unit interval [0, 1] ordered in increasing order, called n-dimensional intervals.
Ivan Mezzomo +2 more
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