Conceptual conectivity analysis by means of fuzzy partitions
In this paper we present a set of tools to analyze concepts that describe and explain a set of observations. Due to the inherent vagueness of concepts, that makes hard to decide in a dichotomic base weather an observation is, or is not, a good example for a concept, we consider the concepts associated to fuzzy subsets. Then we study the adequation and coverage of a collection of fuzzy sets to describe a set of observations. In the same way, once a set of concepts has been acepted to describe a set of objects, we study how the concepts are related by means of the observations, and reciprocally, how the objects are related by the concepts. Finally, a short description of the computer program COCOA is given.
KeywordsClassifications Data Analysis Machine Learning Fuzzy Sets
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