English
Related papers

Related papers: Distributivity between extended nullnorms and unin…

200 papers

In this paper, we present the fuzzy monoids and vague monoids by using aggregation operators. The unit interval with a $t$-norm or a $t$-conorm is a special monoid, so we mainly talk about fuzzy subsets of monoids. Firstly, the…

General Mathematics · Mathematics 2022-05-23 Wei Li , Haohao Wang , Yuanhao Liu , Bin Yang

In this paper, it is proved that, for the truth value algebra of interval-valued fuzzy sets, the distributive laws do not imply the monotonicity condition for the set inclusion operation. Then, a lattice-ordered $t_{r}$-norm, which is not…

General Mathematics · Mathematics 2020-04-09 Xinxing Wu , Guanrong Chen

This paper studies t-norms on the space $\mathbf{L}$ of all normal and convex fuzzy truth values. We first prove that the only non-convolution form type-2 t-norm constructed by Wu et al. satisfies the distributivity law for meet-convolution…

General Mathematics · Mathematics 2023-05-02 XInxing Wu , Zhiyi Zhu , Guanrong Chen

In this paper we present the N-norms/N-conorms in neutrosophic logic and set as extensions of T-norms/T-conorms in fuzzy logic and set. Also, as an extension of the Intuitionistic Fuzzy Topology we present the Neutrosophic Topologies.

Artificial Intelligence · Computer Science 2009-08-17 Florentin Smarandache

Distributive laws of a monad T over a functor F are categorical tools for specifying algebra-coalgebra interaction. They proved to be important for solving systems of corecursive equations, for the specification of well-behaved structural…

Logic in Computer Science · Computer Science 2017-01-11 Marcello M. Bonsangue , Helle Hvid Hansen , Alexander Kurz , Jurriaan Rot

Log-concave distributions include some important distributions such as normal distribution, exponential distribution and so on. In this note, we show inequalities between two Lp-norms for log-concave distributions on the Euclidean space.…

Statistics Theory · Mathematics 2019-03-26 Tomohiro Nishiyama

In the context of fuzzy logic, ordinal sums provide a method for constructing new functions from existing functions, which can be triangular norms, triangular conorms, fuzzy negations, copulas, overlaps, uninorms, fuzzy implications, among…

Logic · Mathematics 2019-05-21 Annaxsuel A. de Lima , Benjamín Bedregal , Ivan Mezzomo

Fuzzy implication functions have been widely investigated, both in theoretical and practical fields. The aim of this work is to continue previous works related to fuzzy implications constructed by means of non necessarily associative…

We determine the distributional behavior for products of free random variables in a general infinitesimal triangular array. In the case of positive variables, the main theorem extends a result proved earlier for arrays with identically…

Operator Algebras · Mathematics 2007-05-23 Hari Bercovici , Jiun-Chau Wang

A general or truss distributive laws between two associative operations on the same set are studied for cancellative and inverse semigroups.

Rings and Algebras · Mathematics 2017-12-29 Tomasz Brzeziński

Recently, a longitudinal sum rule for the electric polarizability of nuclei was used to revise a relativistic correction in a dipole sum rule for the polarizability (nucl-th/9802011). This revision is shown to be wrong because of neglecting…

Nuclear Theory · Physics 2009-10-31 A. I. L'vov

Let $Z$ be a standard normal random variable (r.v.). It is shown that the distribution of the r.v. $\ln|Z|$ is infinitely divisible; equivalently, the standard normal distribution considered as the distribution on the multiplicative group…

Probability · Mathematics 2018-03-28 Iosif Pinelis

This article provides some characterizations of extended COM-Poisson distribution: conditional distribution given the sum, functional operator characterization (Stein identity). We also give some conditions such that the extended…

Statistics Theory · Mathematics 2015-08-26 Huiming Zhang

Rosenfeld defined a fuzzy subgroup of group $G$ as a fuzzy subset of $G$ with two special conditions attached\cite{Rosenfeld1971Fuzzysubgroups}. In this paper, we introduce the fuzzy $t$-norms and vague $t$-norms. The unit interval with a…

General Mathematics · Mathematics 2022-05-20 Haohao Wang , Bin Yang , Wei Li

The familiar adjunction between ordered sets and completely distributive lattices can be extended to generalised metric spaces, that is, categories enriched over a quantale (a lattice of "truth values"), via an appropriate distributive law…

Category Theory · Mathematics 2021-12-28 Adriana Balan , Alexander Kurz

We consider fuzzy valued functions from two parametric representations of $\alpha$-level sets. New concepts are introduced and compared with available notions. Following the two proposed approaches, we study fuzzy differential equations.…

General Mathematics · Mathematics 2024-07-29 Akbar H. Borzabadi , Mohammad Heidari , Delfim F. M. Torres

In this article, working in the spirit of the classical Arrovian models in the fuzzy setting and their possible extensions, we go deeper into the study of some type of decompositions defined by t-norms and t-conorms. This allows us to…

General Mathematics · Mathematics 2025-12-01 María Jesús Campión , Esteban Induráin , Armajac Raventós-Pujol

The gamma density function is usually defined in interval between zero and infinity. This paper introduces an upper and a lower boundary to this distribution. The parameters which characterize the truncated gamma distribution are evaluated.…

Instrumentation and Methods for Astrophysics · Physics 2014-01-03 L. Zaninetti

Fuzzy anti-norm and corresponding $\alpha$-norms are defined. A few properties of finite dimensional fuzzy anti-normed linear space are studied. Fuzzy $\alpha$-anti-convergence and fuzzy $\alpha$-anti-complete linear space are defined and a…

General Mathematics · Mathematics 2012-02-21 Bivas Dinda , T. K. Samanta , Iqbal H. Jebril

Methods for analyzing or learning from "fuzzy data" have attracted increasing attention in recent years. In many cases, however, existing methods (for precise, non-fuzzy data) are extended to the fuzzy case in an ad-hoc manner, and without…

Machine Learning · Computer Science 2017-10-10 Eyke Hüllermeier
‹ Prev 1 2 3 10 Next ›