نتایج جستجو برای: fuzzy normal subgroup

تعداد نتایج: 724630  

Journal: :Rendiconti del Seminario Matematico della Università di Padova 2009

Journal: :Proceedings of the American Mathematical Society 1986

Journal: :Formalized Mathematics 2011

Journal: :Int. J. Fuzzy Logic and Intelligent Systems 2013
Jeonggon Lee Kul Hur Pyung-Ki Lim

We introduce the concept of interval-valued fuzzy congruences on a semigroup S and we obtain some important results: First, for any interval-valued fuzzy congruence R on a group G, the interval-valued congruence class Re is an interval-valued fuzzy normal subgroup of G. Second, for any interval-valued fuzzy congruence R on a groupoid S, we show that a binary operation ∗ an S/R is well-defined a...

2009
Tom De Medts Marius Tărnăuceanu

The goal of this paper is to study finite groups admitting a pseudocomplemented subgroup lattice (PK-groups) or a pseudocomplemented normal subgroup lattice (PKN-groups). In particular, we obtain a complete classification of finite PK-groups and of finite nilpotent PKN-groups. We also study groups with a Stone normal subgroup lattice, and we classify finite groups for which every subgroup has a...

Journal: :Czechoslovak Mathematical Journal 2013

Journal: :iranian journal of fuzzy systems 2011
t. bag s. k. samanta

an idea of fuzzy reexivity of felbin's type fuzzy normed linear spaces is introduced and its properties are studied. concept of fuzzy uniform normal structure is given and using the geometric properties of this concept xed point theorems are proved in fuzzy normed linear spaces.

2009
Cristóbal J. Carmona Pedro González María José del Jesús Francisco Herrera

A new multi-objective evolutionary model for subgroup discovery with fuzzy rules is presented in this paper. The method resolves subgroup discovery problems based on the hybridization between fuzzy logic and genetic algorithms, with the aim of extracting interesting, novel and interpretable fuzzy rules. To do so, the algorithm includes different mechanisms for improving diversity in the populat...

2006
Francisco José Berlanga María José del Jesús Pedro González Francisco Herrera Mikel Mesonero

This paper presents a multiobjective genetic algorithm which obtains fuzzy rules for subgroup discovery in disjunctive normal form. This kind of fuzzy rules lets us represent knowledge about patterns of interest in an explanatory and understandable form which can be used by the expert. The evolutionary algorithm follows a multiobjective approach in order to optimize in a suitable way the differ...

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