"A Neutrosophic Perspective on Enhancing Quality Virtual Simulation Exp" by Lihua Dai, Ben Wang et al.
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Neutrosophic Sets and Systems

Abstract

With rapid advancements in technology-related industries, integrated circuits come to be the core of modern electronics (IC). This in turn highlights the indispensable need to figure out advanced techniques for delivering high-quality experimental education in integrated circuits (IC). To that end, this work presents a neutrosophic framework to enhance the quality of education based on the selection of simulation-based tools that best improve the experimental skills of students. Given the inherent challenges of uncertainty, ambiguity, and subjectivity of virtual simulation, we propose to incorporate Interval-Valued Neutrosophic Sets (IVNS) to model uncertainty inherent to virtual simulation scenarios and adapt to encode linguistic variables that can be applied to decision-making in the experimental education of ICs. In our framework, A customized CRITIC (Criteria Importance Through Intercriteria Correlation) method is introduced to give weights for the IVNS representation of each criterion of IC simulation tools. Then, an IVNS-adapted ELECTRE-I (Elimination and Choice Expressing Reality) is presented to make a multi-criteria decision based on weighted representations of the IVNS-represented alternative. A public case study is introduced to experiment with the validity of different simulation tools for improving the experimental education of IC. Both quantitative and qualitative results demonstrate that the proposed methodology can offer a new solution to improve the student experience and optimize resource allocation in IC design courses. The implication of these results lies in enabling educators, researchers, and policymakers to easily elevate the quality of experimental education in integrated circuits.

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