Modeling Fuzzy Rules with Description Logics.
Sudhir Agarwal, Pascal Hitzler · Journal of Bioresource Management · 2005
Abstract. In real application scenarios, input data and knowledge is often vague. Likewise, it is often the case that exact reasoning over data is impossible due to complex dependencies between input data and tar-get outputs. For practical applications, however, good approximations often suffice, and efficient calculation of an approximate answer is often preferable over complex processing which may take a long time to come up with an exact answer. Fuzzy logic supports both features by provid-ing fuzzy membership functions and fuzzy IF-THEN rule bases. In this paper, we show how fuzzy membership functions and fuzzy rules can be modeled by means of an appropriate description logic and how this can be employed for query answering. 1