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Comprehensive insight to fuzzy logic learning and improved fuzzy logical relationships for forecasting

Author:

Devendra Tayal, Charu, and Suyash Gupta Gupta

Subject Area:

Social Sciences and Humanities

Abstract:

It is an era where there are constant advancements in the area of Information Technology. Technologies such as, internet, database management system, bar code readers or information systems in general have created countless databases of scientific, administrative and commercial nature. Information retrieval is not enough for decision making. Thus, it becomes important for us to develop automatic and intelligent tools for analyzing, interpreting and co-relating data in order to develop and select strategies in the context of the application. In this paper, we provide an insight to fuzzy learning, the rules governing fuzzy logic and study the application of fuzzy forecasting. We also discuss the fuzzy logical relationships and propose an improvement in the fuzzy relationships.

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