Neutrosophic CRITIC MCDM Methodology for Ranking Factors and Needs of Customers in Product's Target Demographic in Virtual Reality Metaverse

Abstract


 Affective design has come to place a premium on customer-centric creativity, which ultimately results in the creation of a product tailored to the requirements of a certain demographic. Designing a fresh and original item that appeals to clients remains challenging, despite the abundance of literature on customer-centric creativity and impact product design. This is so because optimizing technological and aesthetical design aspects and variables for a group of consumers is highly complicated, and for the same reasons that it is hard to know a customer's choice, enable the product's functioning, etc. One of the most important parts of creating cutting-edge technological items is the technical product requirement. In reality, we can generally glean insights about a product's design by looking at the hidden desires of a comparable set of potential buyers. In this study, we provide a unique combined structure for evaluating the factors and needs of customers in product design in virtual reality (VR) metaverse by merging the CRiteria Importance Through Intercriteria Correlation (CRITIC) approach with single-valued neutrosophic sets (SVNSs). The characteristic weights in this approach are calculated using the CRITIC technique. The CRITIC method computes the rank of needs. The neutrosophic set is used to overcome the uncertain data. The application of this study shows thermal dissipation, airtight construction, weight, and control mechanisms are among the most crucial considerations.