Granular Computing

7

Granular Description of Data and Pattern Classification

Data structures, especially in classification problems, pattern recognition, and pattern classifiers impact the realization of classification algorithms, and especially induce their architectures and the nature of the classification results. Here we discuss a number of approaches in which a granular description of classification data impacts a form of the classifier. We show that the concept of information granularity plays a pivotal role in the ensuing construction of the classifiers. One may refer to the pioneering study by Bellman, Kalaba, and Zadeh (1966) pointing at the role of abstraction in pattern recognition.

7.1    Granular Description of Data—A Shadowed Sets Approach

Fuzzy ...