Javascript must be enabled to continue!
Properties of Uniform Fuzzy Modules and Semiuniform Fuzzy Modules
View through CrossRef
In this research paper, the concepts of uniform fuzzy modules and semiuniform fuzzy modules were studied. We discussed the necessary and sufficient conditions between uniform fuzzy modules (and semiuniform fuzzy modules) in fuzzy set theory and uniform modules (and semiuniform modules) in module theory.
Indonesian Mathematical Society
Title: Properties of Uniform Fuzzy Modules and Semiuniform Fuzzy Modules
Description:
In this research paper, the concepts of uniform fuzzy modules and semiuniform fuzzy modules were studied.
We discussed the necessary and sufficient conditions between uniform fuzzy modules (and semiuniform fuzzy modules) in fuzzy set theory and uniform modules (and semiuniform modules) in module theory.
Related Results
Some properties of uniform fuzzy modules and semiuniform fuzzy modules
Some properties of uniform fuzzy modules and semiuniform fuzzy modules
In this thesis, we study some properties of uniform fuzzy modules and semiuniform fuzzy modules. Let R be a ring with the identity and M a right R-module. A submodule A of a right ...
Trooping the (School) Colour
Trooping the (School) Colour
Introduction
Throughout the early and mid-twentieth century, cadet training was a feature of many secondary schools and educational establishments across Australia, with countless ...
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...
Closure operators in semiuniform convergence spaces
Closure operators in semiuniform convergence spaces
In this paper, the characterization of closed and strongly closed subobjects
of an object in category of semiuniform convergence spaces is given and it is
shown that they ind...
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...
Characterized Fuzzy R2.5 and Characterized Fuzzy T3.5 Spaces
Characterized Fuzzy R2.5 and Characterized Fuzzy T3.5 Spaces
This paper, deals with, introduce and study the notions of haracterized fuzzy R2.5 spaces and of characterized fuzzy T3.5 spaces by using the notion of fuzzy function family presen...
ω – SUBSEMIRING FUZZY
ω – SUBSEMIRING FUZZY
Mapping ρ is called a fuzzy subset of an empty set of S if ρ is the mapping from S to the closed interval [0,1]. A fuzzy subset ρ introduced into this paper is a fuzzy subset of se...
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...

