Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Introducing the Third-Order Fuzzy Superordination Concept and Related Results
View through CrossRef
Third-order fuzzy differential subordination studies were recently initiated by developing the main concepts necessary for obtaining new results on this topic. The present paper introduces the dual concept of third-order fuzzy differential superordination by building on the known results that are valid for second-order fuzzy differential superordination. The outcome of this study offers necessary and sufficient conditions for determining subordinants of a third-order fuzzy differential superordination and, furthermore, for finding the best subordinant for such fuzzy differential superordiantion, when it can be obtained. An example to suggest further uses of the new outcome reported in this work is enclosed to conclude this study.
Title: Introducing the Third-Order Fuzzy Superordination Concept and Related Results
Description:
Third-order fuzzy differential subordination studies were recently initiated by developing the main concepts necessary for obtaining new results on this topic.
The present paper introduces the dual concept of third-order fuzzy differential superordination by building on the known results that are valid for second-order fuzzy differential superordination.
The outcome of this study offers necessary and sufficient conditions for determining subordinants of a third-order fuzzy differential superordination and, furthermore, for finding the best subordinant for such fuzzy differential superordiantion, when it can be obtained.
An example to suggest further uses of the new outcome reported in this work is enclosed to conclude this study.
Related Results
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Here in this paper, we provide characterizations of fuzzy quasi-ideal in terms of level and strong level subsets. Along with it, we provide expression for the generated fuzzy quasi...
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Abstract. Fuzzy Inference System requires several stages to get the output, 1) formation of fuzzy sets, 2) formation of rules, 3) application of implication functions, 4) compositi...
New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings
New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings
Background Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalis...
Fuzzy Chaotic Neural Networks
Fuzzy Chaotic Neural Networks
An understanding of the human brain’s local function has improved in recent years. But the cognition of human brain’s working process as a whole is still obscure. Both fuzzy logic ...
Fuzzy Semantic Models of Fuzzy Concepts in Fuzzy Systems
Fuzzy Semantic Models of Fuzzy Concepts in Fuzzy Systems
The fuzzy properties of language semantics are a central problem towards machine-enabled natural language processing in cognitive linguistics, fuzzy systems, and computational ling...
FUZZY RINGS AND ITS PROPERTIES
FUZZY RINGS AND ITS PROPERTIES
Abstract One of algebraic structure that involves a binary operation is a group that is defined an un empty set (classical) with an associative binary operation, it has identity e...
Perbaikan Kualitas Citra Menggunakan Metode Fuzzy Type-2
Perbaikan Kualitas Citra Menggunakan Metode Fuzzy Type-2
Image enhancement is applied to an image that has low contrast. Histogram Equalization (HE) is a general method used to improve the quality of an image. However, its drawback is f...
Some new fuzzy query processing methods based on similarity measurement and fuzzy data clustering
Some new fuzzy query processing methods based on similarity measurement and fuzzy data clustering
In relational and object-oriented database systems there is always data that is naturally fuzzy or uncertain. However, to deal with complex data types with fuzzy nature, these syst...