Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesi...
Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application
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Author / Creator
Ali, Zeeshan , Mahmood, Tahir , AlSalman, Hussain , Alkhamees, Bader Fahad , Rahman, Sk Md Mizanur , Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia , Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan , Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia and Information and Communication Engineering Technology, School of Engineering Technology and Applied Science, Centennial College, Toronto, Canada
Publisher
United States: AIMS Press
Journal title
Language
English
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Publication information
Publisher
United States: AIMS Press
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Scope and Contents
Contents
One of the most dominant and feasible technique is called the PHF setting is exist in the circumstances of fuzzy set theory for handling intricate and vague data in genuine life scenario. The perception of PHF setting is massive universal is compared to these assumptions, who must cope with two or three sorts of data in the shape of singleton eleme...
Alternative Titles
Full title
Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application
Authors, Artists and Contributors
Author / Creator
Mahmood, Tahir
AlSalman, Hussain
Alkhamees, Bader Fahad
Rahman, Sk Md Mizanur
Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan
Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia
Information and Communication Engineering Technology, School of Engineering Technology and Applied Science, Centennial College, Toronto, Canada
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TN_cdi_doaj_primary_oai_doaj_org_article_bad2e6facf49418c8c3615052335502b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bad2e6facf49418c8c3615052335502b
Other Identifiers
ISSN
1551-0018
E-ISSN
1551-0018
DOI
10.3934/mbe.2022039