Perception-Based Logical Deduction as Alternative Approximate Reasoning Method

This paper is a contribution to the approximate reasoning theory. We present an alternative to the well known Mamdani rule, which we call the perception-based logical deduction. The leading assumption is that fuzzy IF-THEN rules are interpreted as genuine linguistic sentences consisting of the, so called, evaluating linguistic expressions. Evaluating expressions determined on the basis of an observation in a concrete context are called perceptions. The latter and sets of fuzzy IF-THEN rules, called linguistic descriptions, are used in derivation of a conclusion. The perception-based deduction is demonstrated to behave in accordance with human way of reasoning. A lot of simulations as well as real applications corroborate that it works very well and is easy for the user because of natural language comprehension