Identification of teataste signals based on rough set theory
Yan Qun Huang · Journal of Changchun Post and Telecommunication Institute · 2002
The problem of obtaining classification rules of taste signal applied discretization of C\|mean fuzzy clustering,based on rough set theory is discussed. a new definition of the strength of a rule is proposed, considering all objects that supports the rule and uncertainty factor of the rule to increase its generalization. a rule\|extract algorithm is presented, which can reduces the redundancy in the core attributes effectually and obtain all useful rules.finally, a decision algorithm for classification is described.