Similarity measure, entropy and distance measure of multiple sets

A multiple set is an extended version of a fuzzy set that simultaneously addresses an element’s multiplicity and uncertainty. In this paper, we define the approximate equality of multiple sets and study some relevant properties associated with it. We then apply the notion of approximation equality o...

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Main Authors: Sanjitha Radhakrishnan, Baiju Thankachan
Format: Article
Language:English
Published: Ayandegan Institute of Higher Education, 2024-07-01
Series:Journal of Fuzzy Extension and Applications
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Online Access:https://www.journal-fea.com/article_202106_c4bc727ca727b1f1599adfb3fc582ce8.pdf
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author Sanjitha Radhakrishnan
Baiju Thankachan
author_facet Sanjitha Radhakrishnan
Baiju Thankachan
author_sort Sanjitha Radhakrishnan
collection DOAJ
description A multiple set is an extended version of a fuzzy set that simultaneously addresses an element’s multiplicity and uncertainty. In this paper, we define the approximate equality of multiple sets and study some relevant properties associated with it. We then apply the notion of approximation equality of multiple sets to solve a pattern recognition problem. A novel class of similarity measures involving implication operators is introduced and the characteristics of approximate equality corresponding to these similarity measures are discussed. Further, we propose the concepts of σ-entropy, σ-distance measure, and σ-similarity measure of multiple sets and illustrate these with some examples. Finally, we define the theory of similarity measures between elements in multiple sets.
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institution Kabale University
issn 2783-1442
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publishDate 2024-07-01
publisher Ayandegan Institute of Higher Education,
record_format Article
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spelling doaj-art-1545e0f260e746a9998dd6fdd19e4d862025-01-30T15:07:12ZengAyandegan Institute of Higher Education,Journal of Fuzzy Extension and Applications2783-14422717-34532024-07-015341643310.22105/jfea.2024.445140.1387202106Similarity measure, entropy and distance measure of multiple setsSanjitha Radhakrishnan0Baiju Thankachan1Department of Mathematics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.Department of Mathematics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.A multiple set is an extended version of a fuzzy set that simultaneously addresses an element’s multiplicity and uncertainty. In this paper, we define the approximate equality of multiple sets and study some relevant properties associated with it. We then apply the notion of approximation equality of multiple sets to solve a pattern recognition problem. A novel class of similarity measures involving implication operators is introduced and the characteristics of approximate equality corresponding to these similarity measures are discussed. Further, we propose the concepts of σ-entropy, σ-distance measure, and σ-similarity measure of multiple sets and illustrate these with some examples. Finally, we define the theory of similarity measures between elements in multiple sets.https://www.journal-fea.com/article_202106_c4bc727ca727b1f1599adfb3fc582ce8.pdfmultiple setentropydistance measuresimilarity measureapproximate equalitypattern recognition
spellingShingle Sanjitha Radhakrishnan
Baiju Thankachan
Similarity measure, entropy and distance measure of multiple sets
Journal of Fuzzy Extension and Applications
multiple set
entropy
distance measure
similarity measure
approximate equality
pattern recognition
title Similarity measure, entropy and distance measure of multiple sets
title_full Similarity measure, entropy and distance measure of multiple sets
title_fullStr Similarity measure, entropy and distance measure of multiple sets
title_full_unstemmed Similarity measure, entropy and distance measure of multiple sets
title_short Similarity measure, entropy and distance measure of multiple sets
title_sort similarity measure entropy and distance measure of multiple sets
topic multiple set
entropy
distance measure
similarity measure
approximate equality
pattern recognition
url https://www.journal-fea.com/article_202106_c4bc727ca727b1f1599adfb3fc582ce8.pdf
work_keys_str_mv AT sanjitharadhakrishnan similaritymeasureentropyanddistancemeasureofmultiplesets
AT baijuthankachan similaritymeasureentropyanddistancemeasureofmultiplesets