Year: 2025
Type: article
Abstract: Neutrosophic Ranked Soft Sets (NRSS) provide a robust mathematical framework for managing uncertainty, imprecision, and parameter prioritization in complex decision environments.This paper presents a comprehensive study on the application of NRSS in intelligent computing and data-driven decision-making systems.By integrating neutrosophic logic with ranked soft set theory, the proposed model effectively captures the degrees of truth, uncertainty, and falsity along with their relative weight of parameters.We establish the theoretical foundations of NRSS and illustrate its utility through real-world-inspired scenarios in areas such as expert systems, intelligent filtering, and multi-criteria evaluation.The findings demonstrate that NRSS significantly enhance the adaptability, interpretability, and reliability of intelligent systems, making them well-suited for modern decision support applications.
Authors: Nisar Ahmad, Husniyah Alzubaidi, Raga Idress, Sultan S. Alodhaibi, Hamiden Abd El-Wahed Khalifa, Hakeem A. Othman
Language: English
Topic: Fuzzy and Soft Set Theory
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Funder: Umm Al-Qura University
OpenAlex ID: W7083581350
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