Introduction to artificial neural systems
Introduction to artificial neural systems
t-Norm-based addition of fuzzy intervals
Fuzzy Sets and Systems
On computation of the compositional rule of inference under triangular norms
Fuzzy Sets and Systems
On the principles of fuzzy neural networks
Fuzzy Sets and Systems
Fuzzy neural networks: a survey
Fuzzy Sets and Systems
On the compositional rule of inference under triangular norms
Fuzzy Sets and Systems
A note on t-norm-based addition of fuzzy intervals
Fuzzy Sets and Systems
A note to the T-sum of L-R fuzzy numbers
Fuzzy Sets and Systems
A characterization of the ordering of continuous t-norms
Fuzzy Sets and Systems
Shape preserving additions of fuzzy intervals
Fuzzy Sets and Systems
Triangular-norm-based addition of fuzzy intervals
Fuzzy Sets and Systems - Special issue: fuzzy arithmetic
A T-sum bound of LR-fuzzy numbers
Fuzzy Sets and Systems - Special issue: fuzzy arithmetic
A note to the addition of fuzzy numbers based on a continuous Archimedean T-norm
Fuzzy Sets and Systems - Special issue: fuzzy arithmetic
A note to the sum of fuzzy variables
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Reasoning in Decision Making and Optimization
Fuzzy Reasoning in Decision Making and Optimization
Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
T-sum of bell-shaped fuzzy intervals
Fuzzy Sets and Systems
Information Sciences: an International Journal
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The usual arithmetic operations on real numbers can be extended to arithmetical operations on fuzzy intervals by means of Zadeh's extension principle based on a t-norm T. A t-norm is called consistent with respect to a class of fuzzy intervals for some arithmetic operation, if this arithmetic operation is closed for this class. It is important to know which t-norms are consistent with particular types of fuzzy intervals. Recently, Dombi and Gyorbiro [J. Dombi, N. Gyorbiro, Additions of sigmoid-shaped fuzzy intervals using the Dombi operator and infinite sum theorems, Fuzzy Sets and Systems 157 (2006) 952-963] proved that addition is closed if the Dombi t-norm is used with sigmoid-shaped fuzzy intervals. In this paper, we define a broader class of sigmoid-shaped fuzzy intervals. Then, we study t-norms that are consistent with these particular types of fuzzy intervals. Dombi and Gyorbiro's results are special cases of the results described in this paper.