Optimized Rule Mining Through Linguistic Data Mapping on Fuzzy Information System

Abstract

This paper illustrates a conceptual framework for evaluating the impact of contemporary information systems, mainly on business events. In the process of developing new data mining techniques and software to aid in efficient business solutions, we propose an ‘efficient information system’ that incorporates a tool of data mining, fusing rule induction on crisp database, which is then transformed into a fuzzy information decision making system on which results are calibrated to make suggestive predictions and hence decisions. This paper aims designing the system architecture of highly intelligent supporting applicatory aspects in the field of business intelligence. The system design is worked on an example case to deal with the customer side risk management in the area of investment in the stock market.