Results 21 to 30 of about 1,179 (70)
Dual Hesitant Fuzzy Linguistic Power-Average Operators Based on Archimedean t-Conorms and t-Norms
This paper introduces some novel power-average (PA) operators of dual hesitant fuzzy linguistic (DHFL) set with the Archimedean t-conorms and t-norms (ATT) functions, such as the weighted DHFL power-average (ATT-WDHFLPA) operator based on ATT functions ...
Nian Zhang, Jie Jian, Jiafu Su
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Quasi-homogeneous associative functions
A triangular norm is a special kind of associative function on the closed unit interval [0,1]. Triangular norms (or t-norms) were introduced in the context of probabilistic metric space theory, and they have found applications also in other areas, such ...
Bruce R. Ebanks
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Assessing the Clinical Applicability of Population Specific Bolton’s Norms [PDF]
Introduction: Bolton’s norms are an essential parameter used in orthodontic diagnosis to evaluate the tooth size discrepancy. However, these norms have been established for Caucasian population and population variations necessitates the evaluation of ...
Shweta Airan +2 more
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Coercive solvability of the nonlocal boundary value problem for parabolic differential equations
The nonlocal boundary value problem, v′(t)+Av(t)=f(t)(0≤t≤1),v(0)=v(λ)+μ ...
A. Ashyralyev +2 more
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Structures on Doubt Neutrosophic Ideals of BCK/BCI-Algebras under (S, T)-Norms [PDF]
Smarandache implemented the idea of neutrosophic set theory as a method for dealing undetermined data. Neutrosophic set theory is commonly used in various algebric structures, such as groups, rings and BCK/BCI-algebras.
Anas Al-Masarwah, Abd Ghafur Ahmad
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T-Norm-Based Orderings on Y[0,1]n
In this paper we recall orderings based on t-norms, which could help to select the best suited decision procedure in many practical situations. We discuss several refinements of t-norm based orderings which break some of possible ties.
Darina Kyselova
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A New Class of Interval-Valued Discrete Sugeno-like Integrals
Discrete Sugeno integrals form a significant family of aggregation functions. Several variants of these integrals have been proposed, most of which replace the minimum operation with alternative operations, such as product, overlap functions, and t-norms.
Nícolas Jacobino +4 more
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A comparison of different T-norms and S-norms for interval type-2 fuzzy number weights is proposed in this work. The interval type-2 fuzzy number weights are used in a neural network with an interval backpropagation learning enhanced method for weight ...
Fernando Gaxiola +4 more
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Multi-fuzzy Rough Sets based on Implicators and Continuous t-norms
This paper extends the study of multi-fuzzy rough sets using an implicator and a continuous t-norm and thus introduces multi-fuzzy rough sets based on fuzzy logical connectives.
Gayathri Varma, Sunil Jacob John
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Lieb-Robinson bounds and out-of-time order correlators in a long-range spin chain
Lieb-Robinson bounds quantify the maximal speed of information spreading in nonrelativistic quantum systems. We discuss the relation of Lieb-Robinson bounds to out-of-time order correlators, which correspond to different norms of commutators C(r,t)=[A_{i}
Luis Colmenarez, David J. Luitz
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