A Three-Phased Fuzzy Logic Multi-Criteria Decision-Making Model for Evaluating Operation Systems for Smart TVs

Within the competitive global market and fast-advancing technology environment, in order to survive succeed, firms need spontaneously respond changes uncertainty of customer needs. Therefore, New Product Development (NPD) is extremely important for success firms. Artificial Intelligence (AI) has gradually entered people’s lives, consumer demand AI products increasing. Firms understand development trend consider preferences consumers AI-related under social so that suitable can be properly developed. In this study, evaluation selection operation systems a commercially available product (smart TV) studied, Multi-Criteria Decision-Making (MCDM) model facilitating most system constructed. The proposed consists three phases: Interpretative Structural Modelling (ISM) construct decision-making network, Fuzzy Analytic Network Process (FANP) obtain weights factors, Technique Order Preference by Similarity Ideal Solution (fuzzy TOPSIS) rank systems. applied select an companies use develop smart TV. results show provide systematic method helps make appropriate decisions.