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Extension of aggregation operators to site selection for solid waste management under neutrosophic hypersoft set

Authors :
Rana Muhammad Zulqarnain
Wen Xiu Ma
Imran Siddique
Shahid Hussain Gurmani
Fahd Jarad
Muhammad Irfan Ahamad
Source :
AIMS Mathematics, Vol 8, Iss 2, Pp 4168-4201 (2023)
Publication Year :
2023
Publisher :
AIMS Press, 2023.

Abstract

With the fast growth of the economy and rapid urbanization, the waste produced by the urban population also rises as the population increases. Due to communal, ecological, and financial constrictions, indicating a landfill site has become perplexing. Also, the choice of the landfill site is oppressed with vagueness and complexity due to the deficiency of information from experts and the existence of indeterminate data in the decision-making (DM) process. The neutrosophic hypersoft set (NHSS) is the most generalized form of the neutrosophic soft set, which deals with the multi-sub-attributes of the alternatives. The NHSS accurately judges the insufficiencies, concerns, and hesitation in the DM process compared to IFHSS and PFHSS, considering the truthiness, falsity, and indeterminacy of each sub-attribute of given parameters. This research extant the operational laws for neutrosophic hypersoft numbers (NHSNs). Furthermore, we introduce the aggregation operators (AOs) for NHSS, such as neutrosophic hypersoft weighted average (NHSWA) and neutrosophic hypersoft weighted geometric (NHSWG) operators, with their necessary properties. Also, a novel multi-criteria decision-making (MCDM) approach has been developed for site selection of solid waste management (SWM). Moreover, a numerical description is presented to confirm the reliability and usability of the proposed technique. The output of the advocated algorithm is compared with the related models already established to regulate the favorable features of the planned study.

Details

Language :
English
ISSN :
24736988
Volume :
8
Issue :
2
Database :
Directory of Open Access Journals
Journal :
AIMS Mathematics
Publication Type :
Academic Journal
Accession number :
edsdoj.6ff4920b884e90819e902161da9087
Document Type :
article
Full Text :
https://doi.org/10.3934/math.2023208?viewType=HTML