Fuzzy Logic Analysis of E-Commerce Web Page Quality Factors

E-commerce websites are now essential to running a modern business since they provide consumers with an easy way to buy products and services online. Ensuring the quality and dependability of these websites is essential to preserving client loyalty and pleasure. Conventional techniques for quality assurance frequently produce errors and inefficiencies because they are unable to fully capture the subtle components of a website's quality. Fuzzy logic analysis has become a popular and effective method for assessing the caliber of e-commerce websites in recent years. This paper offers a thorough analysis of fuzzy logic-based methods for e-commerce web page quality control, stressing its ad¬van¬tages, disadvantages, and possible uses. Web page quality assurance has become critical in the dy¬na¬mic world of e-commerce. The application of fuzzy logic analysis has shown promise in over¬co¬ming these obstacles. This paper offers a thorough summary of fuzzy logic-based methods for asses¬sing the quality of e-commerce websites. It examines the fundamentals of fuzzy logic and how it's applied to performance tracking, accessibility analysis, usability testing, and testing. The evaluation highlights fuzzy logic analysis's potential to improve customer experience and spur corporate success while discussing the difficulties and prospective paths for the technology in e-commerce quality assurance.