A Neutrosophic Perspective on Enhancing Quality Virtual Simulation Experimental Education of Integrated Circuits: A New Approach
Keywords:
Neutrosophic theory, Integrated circuits, Teaching Quality, Decision makingAbstract
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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