An Integrated TOPSIS Model with Neutrosophic Vague Soft Expert Sets for Uncertain Decision Making

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DOI: https://doi.org/10.28924/2291-8639-24-2026-218
Published: Jul 17, 2026
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Hazwani Hashim, Nur Syahida Mohd Noor, Noor Azzah Awang, Ashraf Al-Quran, Lazim Abdullah, An Integrated TOPSIS Model with Neutrosophic Vague Soft Expert Sets for Uncertain Decision Making, Int. J. Anal. Appl., 24 (2026), 218.

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Hazwani Hashim, Nur Syahida Mohd Noor, Noor Azzah Awang, Ashraf Al-Quran, Lazim Abdullah

Abstract

In traditional decision making, data is usually seen as just true or false. However, soft expert set (SES) use the opinions of real experts. Unlike a standard soft set, SES includes ‘agree’ and ‘disagree’ options to capture the different views of human experts. In this study, we used the strength of SES combined with neutrosophic vague sets to handle uncertainty. Thus, this study proposes the integration of a neutrosophic vague soft expert set with the TOPSIS method (NVSES-TOPSIS) to handle uncertainty in decision making process. Alternatives are evaluated using NVSES while, unknown weights are obtained through maximizing deviation method. The ranking of alternatives is obtained using TOPSIS method. A Numerical example involving candidate selection for a vacancy validates the method. Finally, a comparative analysis illustrates how different distance measures influence the final ranking order. Future studies could integrate NVSES with other MCDM methods to increase computational ease without requiring aggregation operators for multiple experts.

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