A decision making algorithm for wind power plant based on q-rung orthopair hesitant fuzzy rough aggr...
A decision making algorithm for wind power plant based on q-rung orthopair hesitant fuzzy rough aggregation information and TOPSIS
About this item
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Author / Creator
Research Institute for Natural Sciences, Hanyang University, Seoul, Korea , Department of Mathematics and Statistics, Bacha Khan University, Charsadda 24420, Pakistan , Department of Mathematics, Abdul Wali Khan University, Mardan 23200, Pakistan , Attaullah , Ashraf, Shahzaib , Rehman, Noor , Khan, Asghar and Park, Choonkil
Publisher
AIMS Press
Journal title
Language
English
Formats
Publication information
Publisher
AIMS Press
Subjects
More information
Scope and Contents
Contents
Wind energy is one of the most significant renewable energy sources due to its widespread availability, low environmental impact, and great cost-effectiveness. The effective design of ideal wind energy extraction areas to generate electricity is one of the most critical issues in the exploitation of wind energy. The appropriate site selection for w...
Alternative Titles
Full title
A decision making algorithm for wind power plant based on q-rung orthopair hesitant fuzzy rough aggregation information and TOPSIS
Authors, Artists and Contributors
Author / Creator
Department of Mathematics and Statistics, Bacha Khan University, Charsadda 24420, Pakistan
Department of Mathematics, Abdul Wali Khan University, Mardan 23200, Pakistan
Attaullah
Ashraf, Shahzaib
Rehman, Noor
Khan, Asghar
Park, Choonkil
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c90e3b2ab1fa438989e892543c6b60ee
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c90e3b2ab1fa438989e892543c6b60ee
Other Identifiers
ISSN
2473-6988
E-ISSN
2473-6988
DOI
10.3934/math.2022292
