The World Wide Web has become a huge repository of the hypertexts and documents. The rapid growth of web logs and texts has gained a lot of attention from the researchers for extracting the interesting rule for designing of the web pages, drawing the customer preference, analysing the customer behaviour and decision making for serving the organizations with better services. Such decisions are made by analysing different web parameters such as the server log, registration information, access

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... , session period, page hits and other relative information left by user. This paper presents a survey on various techniques such as fuzzy logic and rule mining for finding the customer behaviour that helps in better decision making and enhancing the performance of the system.