A Fuzzy Model for Identifying Significant Subtle Effects within a System of Objects' Responses

The paper deals with the problem of revealing subtle consistent patterns of functional connections between sets of data describing a system of objects’ responses. The main strengths and weaknesses of utilizing fuzzy systems are explored afterwards. It outlines the main features of the fuzzy model for identifying significant subtle (implicit) effects within a system of objects’ responses based on a cross between fuzzy set and data mining approaches. The tool for obtaining assessments in natural language resulting from exploiting an automated learning algorithm is later suggested. After that the model’s applicability to examining the system of images’ responses is discovered. The article lastly brings evidence for its adaptability to simulating mutual impacts of a range of economic objects.