Indian Journal of Science and Technology
Year: 2021, Volume: 14, Issue: 6, Pages: 582-603
Nausheen Ayub1*, Aslam Malik1
1Department of Mathematics, University of the Punjab, Quaid-e-Azam Campus, Lahore, 54590, Pakistan
Email: [email protected]
Received Date:09 October 2020, Accepted Date:25 January 2021, Published Date:01 March 2021
Objectives/Methods: Taking into account the impreciseness and subjectiveness of decision makers (DMs) in complex decision-making situations, the assessment datum over alternatives given by DMs is consistently vague and uncertain. In meantime, to evaluate human’s hesitance, the q-rung orthopair dual hesitant fuzzy sets (q-RODHFSs) are defined which are more accurate for manipulation real MADM matters. To merge the datum in q-RODHFSs more precisely, in this research script, some Bonferroni mean (BM) operators in light of q-RODHFSs datum, which includes arbitrary number of being merged arguments, are developed and examined. Findings: Obviously, the novel defined operators can produce much accurate results than already existing methods. Additionally, some important measures of said BM operators are talked about and all the peculiar cases of them are studied which expresses that the BM operator is more dominant than others. Eventually, the MADM algorithm is furnished and the operators are utilized to choose the best alternative under q-rung orthopair dual hesitant fuzzy numbers (q-RODHFNs). Taking advantage of the novel operators and constructed algorithm, the developed operators are utilized in the MADM problems.
Keywords: : Bonferroni mean; Dual BM; q-rung orthopair dual hesitant fuzzy sets; q-rung orthopair dual hesitant fuzzy weighted Bonferroni mean; q-rung orthopair dual hesitant fuzzy weighted dual Bonferroni mean
© 2021 Ayub & Malik.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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