Efficiency of Fuzzy Decision Algorithms Based on the Strength of Decision Rules

Characterizing data sets through logic rules is a fundamental task for modeling knowledge systems. Mathematical tools, such as Rough Set Theory (RST) and Formal Concept Analysis (FCA), offer mechanisms for automatically obtaining these logic rules. In this paper, we will analyze a special kind of set of logic rules in fuzzy rough set theory called decision algorithm. In particular, a definition of efficiency of a decision algorithm is introduced taking into account a new fuzzy relevance indicator based on the strength of the decision rules.