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Fuzzy Implications

Studies in Fuzziness and Soft Computing, 2008
Balasubramaniam Jayaram   +1 more
exaly   +3 more sources

Fuzzy Implication Methods in Fuzzy Logic

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007
The choice of fuzzy implication methods is a significant problem in the theoretical development of fuzzy set and approximate reasoning. Many operation methods on the fuzzy implication were presented. In this research, first we analyze the truth values of the traditional two valued logical implication using sets theory, propose a novel truth table of ...
Xiaodong Zhu   +3 more
openaire   +1 more source

On Fuzzy Polynomial Implications

2014
In this work, the class of fuzzy polynomial implications is introduced as those fuzzy implications whose expression is given by a polynomial of two variables. Some properties related to the values of the coefficients of the polynomial are studied in order to obtain a fuzzy implication.
Sebastia Massanet   +2 more
openaire   +2 more sources

A class of fuzzy implications obtained from triples of fuzzy implications

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
The aim of this work is to study the class I I, I1, I2 (U) of fuzzy implications obtained by a triple (I, I 1 , I 2 ) of fuzzy implications. Thus, this paper discusses under which conditions such functions preserve the main properties of fuzzy implications.
Renata Reiser   +5 more
openaire   +2 more sources

A note on “On special fuzzy implications”

Fuzzy Sets and Systems, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Katarzyna Mis, Michal Baczynski 0001
openaire   +1 more source

Crisp Fuzzy Implications

2018
Implications play an important role in fuzzy logics as they can be used both in practical and theoretical works. There exist many works in the literature where fuzzy implications behave in a crisp manner, i.e., implications that map to either zero or one.
Jocivania Pinheiro   +3 more
openaire   +2 more sources

A Survey on Fuzzy Implication Functions

IEEE Transactions on Fuzzy Systems, 2007
One of the key operations in fuzzy logic and approximate reasoning is the fuzzy implication, which is usually performed by a binary operator, called an implication function or, simply, an implication. Many fuzzy rule based systems do their inference processes through these operators that also take charge of the propagation of uncertainty in fuzzy ...
Margarita Mas, Joan Torrens, M Monserrat
exaly   +2 more sources

Fuzzy power sets and fuzzy implication operators

Fuzzy Sets and Systems, 1980
The theory of fuzzy power sets, which has hitherto been insufficiently developed, is shown very naturally to require the use of a fuzzy implication operator (Section 1). Six such operators are gathered from the literature on multiple-valued logic (Section 2), and their effects on fuzzy power-set theory are compared throughout the rest of the paper ...
Bandler, Wyllis, Kohout, Ladislav
openaire   +1 more source

ON A CLASS OF DISTRIBUTIVE FUZZY IMPLICATIONS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001
We deal with the system of functional equations I(x,T(y,z))=T(I(x,y), I(x,z)), I(x,I(y,z))=I(T(x,y),z), where function T:[0,1]2→ [0,1] is a strict t-norm and I:[0,1]2→ [0,1] is an unknown function. Under some assumptions imposed on function I we obtain that I is almost conjugate with the Yager fuzzy implication.
openaire   +2 more sources

On rational fuzzy implication functions

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016
The proposal of new classes of fuzzy implication functions must take into account the final expression of the operator to be potentially used in a concrete application. In particular, fuzzy implication functions with simple expressions have low computational cost and they reduce the spreading of numerical errors.
Sebastia Massanet   +2 more
openaire   +2 more sources

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