
En 1986, Atanassov introdujo el concepto de teoría intuicionista de conjuntos difusos que se basa en las extensiones de las definiciones de la teoría de conjuntos difusos dadas por Zadeh. Esta teoría proporciona un modelo variable para elaborar la incertidumbre y la vaguedad involucradas en los problemas de toma de decisiones. En este capítulo, concentramos nuestro estudio en la convergencia ideal de los espacios de secuencia con respecto a la norma intuicionista difusa y discutimos sus propiedades topológicas y algebraicas.
En 1986, Atanassov a introduit le concept de théorie des ensembles flous intuitionniste qui repose sur les extensions des définitions de la théorie des ensembles flous données par Zadeh. Cette théorie fournit un modèle variable pour élaborer l'incertitude et le flou impliqués dans les problèmes de prise de décision. Dans ce chapitre, nous concentrons notre étude sur la convergence idéale des espaces de séquence par rapport à la norme floue intuitionniste et discutons de leurs propriétés topologiques et algébriques.
In 1986, Atanassov introduced the concept of intuitionistic fuzzy set theory which is based on the extensions of definitions of fuzzy set theory given by Zadeh.This theory provides a variable model to elaborate uncertainty and vagueness involved in decision making problems.In this chapter, we concentrate our study on the ideal convergence of sequence spaces with respect to intuitionistic fuzzy norm and discussed their topological and algebraic properties.
في عام 1986، قدم أتاناسوف مفهوم نظرية المجموعات الغامضة الحدسية التي تستند إلى امتدادات تعريفات نظرية المجموعات الغامضة التي قدمها زاده. توفر هذه النظرية نموذجًا متغيرًا لتفصيل عدم اليقين والغموض المتضمنين في مشاكل صنع القرار. في هذا الفصل، نركز دراستنا على التقارب المثالي لمساحات التسلسل فيما يتعلق بالقاعدة الغامضة الحدسية وناقشنا خصائصها الطوبولوجية والجبرية.
Statistics and Probability, Artificial intelligence, Norm (philosophy), Social Sciences, Set (abstract data type), Epistemology, Management Science and Operations Research, Decision Sciences, Fixed Point Theorems in Metric Spaces, FOS: Mathematics, Genetics, Biology, Algebra over a field, Statistical Convergence in Approximation Theory and Functional Analysis, Application of Soft Set Theory in Decision Making, Pure mathematics, Discrete mathematics, Computer science, FOS: Philosophy, ethics and religion, Programming language, Fuzzy logic, Philosophy, Fuzzy Sets, Interval-Valued Fuzzy Sets, Vagueness, FOS: Biological sciences, Physical Sciences, Fuzzy set, Geometry and Topology, Fuzzy Metric Spaces, Set theory, Mathematics, Topological space, Sequence (biology)
Statistics and Probability, Artificial intelligence, Norm (philosophy), Social Sciences, Set (abstract data type), Epistemology, Management Science and Operations Research, Decision Sciences, Fixed Point Theorems in Metric Spaces, FOS: Mathematics, Genetics, Biology, Algebra over a field, Statistical Convergence in Approximation Theory and Functional Analysis, Application of Soft Set Theory in Decision Making, Pure mathematics, Discrete mathematics, Computer science, FOS: Philosophy, ethics and religion, Programming language, Fuzzy logic, Philosophy, Fuzzy Sets, Interval-Valued Fuzzy Sets, Vagueness, FOS: Biological sciences, Physical Sciences, Fuzzy set, Geometry and Topology, Fuzzy Metric Spaces, Set theory, Mathematics, Topological space, Sequence (biology)
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