Selection of Suppliers for Speech Recognition Products in IT Projects by Combining Techniques with an Integrated Fuzzy MCDM

In today’s environment, as the complexity of actual events develops, products become increasingly complicated. As a result, companies should collaborate to integrate disparate technologies while developing product or service. Additionally, collaborating with right supplier helps company increase flexibility, competitiveness, and profitability its goods services. The goal this study is look into factors that influence selection for speech recognition. Twelve sub-criteria quality, affordability, maintenance, adaptability are used evaluate prospective providers. Two separate hybrid methodologies finding best an information technology presented. intuitionistic Fuzzy Due uncertainty data, VIKOR operates decision-making matrix solves issue by determining ideal alternative group utility using VIKOR. second technique, Q-ROF TOPSIS, selects suppliers utilizing q-rung orthopair fuzzy sets, which provides decision makers greater expression flexibility than majority uncertainty-related strategies. To demonstrate effectiveness recommended measures, case conducted. outcomes various strategies compared, well associated advantages.