Dependence Relations and Grade Fuzzy Set

With the aim of developing the recent theory of dependence relations, we elaborate a procedure to measure the strength of the influence of an element on another with respect to a given dependence relation on a finite set. We call this measure the degree of influence. Its definition is based on a par...

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Main Authors: Alessandro Linzi, Irina Cristea
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/15/2/311
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author Alessandro Linzi
Irina Cristea
author_facet Alessandro Linzi
Irina Cristea
author_sort Alessandro Linzi
collection DOAJ
description With the aim of developing the recent theory of dependence relations, we elaborate a procedure to measure the strength of the influence of an element on another with respect to a given dependence relation on a finite set. We call this measure the degree of influence. Its definition is based on a partial hyperoperation and a directed graph which we associate with any dependence relation. We compute the degree of influence in various examples and prove some general properties. Among these properties, we find symmetries that have the potential to be applied in the realization of effective algorithms for the computations.
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spelling doaj.art-2c382a1acd5645628e43883041a782072023-11-16T23:31:38ZengMDPI AGSymmetry2073-89942023-01-0115231110.3390/sym15020311Dependence Relations and Grade Fuzzy SetAlessandro Linzi0Irina Cristea1Center for Information Technologies and Applied Mathematics, University of Nova Gorica, 5000 Nova Gorica, SloveniaCenter for Information Technologies and Applied Mathematics, University of Nova Gorica, 5000 Nova Gorica, SloveniaWith the aim of developing the recent theory of dependence relations, we elaborate a procedure to measure the strength of the influence of an element on another with respect to a given dependence relation on a finite set. We call this measure the degree of influence. Its definition is based on a partial hyperoperation and a directed graph which we associate with any dependence relation. We compute the degree of influence in various examples and prove some general properties. Among these properties, we find symmetries that have the potential to be applied in the realization of effective algorithms for the computations.https://www.mdpi.com/2073-8994/15/2/311dependence relationdegree of influencegrade fuzzy sethypercompositional structurehyperoperation
spellingShingle Alessandro Linzi
Irina Cristea
Dependence Relations and Grade Fuzzy Set
Symmetry
dependence relation
degree of influence
grade fuzzy set
hypercompositional structure
hyperoperation
title Dependence Relations and Grade Fuzzy Set
title_full Dependence Relations and Grade Fuzzy Set
title_fullStr Dependence Relations and Grade Fuzzy Set
title_full_unstemmed Dependence Relations and Grade Fuzzy Set
title_short Dependence Relations and Grade Fuzzy Set
title_sort dependence relations and grade fuzzy set
topic dependence relation
degree of influence
grade fuzzy set
hypercompositional structure
hyperoperation
url https://www.mdpi.com/2073-8994/15/2/311
work_keys_str_mv AT alessandrolinzi dependencerelationsandgradefuzzyset
AT irinacristea dependencerelationsandgradefuzzyset