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Open Access Research Article

An efficient algorithm by employing neutrosophic Weber hybrid aggregation operators in decision-making analysis

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pp. 1909–1930Vol. 28Issue 5August 2025DOI: 10.47974/JIM-2174XML
Received:
09 Apr 2024
Published Online:
14 Aug 2025
Article type:
Research Article
Language:
EN
Article no.:
JIM-2174
Pages:
1909–1930

Abstract

This study aims to explore Weber aggregation operations by utilizing Weber t-norms and t-conorms of single-valued neutrosophic sets (SVNS). We define and elucidate single-valued (SV) neutrosophic Weber weighted average (SVNWWA) Aggregation Operators and SV neutrosophic Weber weighted geometric (SVNWWG) Aggregation Operators and their characteristics. An algorithm was developed to authenticate the importance of the aggregation operators by implementing them into an application to tackle multiattribute decision-making challenges by employing SV neutrosophic data. Finally, a comparison is presented with existing SVneutrosophic aggregation operators to assess the suggested techniques performance.

Keywords

Subject Classifications

40A3540A05

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