Rule-promotion: A New Fuzzy-logic Approach for Drawing the Inferences in Rule-based Expert System

Abstract

The paper describes the development of a new fuzzy-logic approach for designing the web based Intelligent Information Systems. The new approach named as rule-promotion approach is suggested for the intelligent systems. The new approach is found to enable the drawing of inferences with enhanced intelligence. It improved the conventional inference process for inferencing. It significantly strengthened the inference drawing power of the rule-based expert system. Rule-promotion approach for web based Intelligent Information Systems is used for diagnosis of diseases in crops. The new approach has been tested and verified for the intelligent diagnosis of diseases of Oilseed-crops. The paper describes evaluation of rule promotion novel approach. It includes the studies on the comparison of the diagnostic results obtained by running the intelligent system without applying rule-promotion approach in conventional way and by applying the rule-promotion approach. The results obtained by applying the rule-promotion approach were found to be more acceptable and lead to more successful diagnosis. The application of Intelligent Information System for Disease Diagnosis in Crops (IISDDC) is made to three Oilseed crops viz. Soybean, Groundnut and Rapeseed Mustard.