Extension of Aggregation Operators To Site Selection for Solid Waste Management Under Neutrosophic Hypersoft Set
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Amer inst Mathematical Sciences-aims
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Ahamad, Muhammad Irfan/0000-0001-6992-2036
ORCID
Keywords
Neutrosophic Soft Set, Neutrosophic Hypersoft Set, Nhswa Operator, Nhswg Operator, Mcdm, Swm, Indeterminacy (philosophy), Artificial intelligence, neutrosophic hypersoft set, swm, Environmental Decision Making, Population, Usability, Social Sciences, Group Decision Making, Set (abstract data type), Multi-Criteria Decision Making, Management Science and Operations Research, Quantum mechanics, neutrosophic soft set, Decision Sciences, Multi-Objective Transportation Problem Optimization, Engineering, Selection (genetic algorithm), QA1-939, FOS: Mathematics, nhswg operator, Human–computer interaction, Physics, Mathematical optimization, Application of Soft Set Theory in Decision Making, nhswa operator, mcdm, Multiple-criteria decision analysis, Computer science, Process (computing), Programming language, Fuzzy logic, Operating system, Environmental health, Control and Systems Engineering, Vagueness, Physical Sciences, Soft Set Theory, Medicine, Mathematics, Decision-making
Fields of Science
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
Zulqarnain, Rana Muhammad...et.al. (2023). "Extension of aggregation operators to site selection for solid waste management under neutrosophic hypersoft set", AIMS Mathematics, Vol.8, No.2, pp.4168-4201.
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
2
Source
AIMS Mathematics
Volume
8
Issue
2
Start Page
4168
End Page
4201
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Citations
Scopus : 2
Captures
Mendeley Readers : 11
SCOPUS™ Citations
2
checked on Feb 26, 2026
Page Views
1
checked on Feb 26, 2026
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