Multi-value logic is defined as a non-binary logic and involves the switching between more than two states. The design of Multiple Valued Logic (MVL) digital circuits is performed by increasing the representation domain from the two level (N=2) switching algebra to N > 2 levels. More data can be transmitted by single wire having more than two levels. Multiple-valued logic (MVL) application in t...

Fuzzy reasoning is a very productive research field that during the last years has provided a number of theoretical approaches and practical implementation prototypes. Nevertheless, the classical implementations, like Fril, are not adapted to the latest formal approaches, like multi-adjoint logic semantics. Some promising implementations, like Fuzzy Prolog, are so general that the regular user/...

In practical applications of machine learning and knowledge discovery, handling multi-class problems and real numbers are important issues. While attribute-value learners address these problems as a rule, very few ILP systems do so. The few ILP systems that handle real numbers mostly do so by trying out all real values applicable, thus running into eeciency or overrtting problems. The ILP learn...

Multi-valued logics can be effectively used to reason about incomplete and/or inconsistent systems, e.g. during early software requirements or as the systems evolve. In our earlier work we identified a useful family of multi-valued logics: those specified over finite distributive lattices where negation preserves involution, i.e., , , -/.0for every element of the logic. Model-checking over this...

This paper is concerned with the problems of stability analysis and stabilization control design for a class of discrete-time T-S fuzzy systems with state-delay for multi-input and multi-output. The nonlinear fuzzy controller helps to overcome the problems of the ill defined model of the systems, which are creating the undesirable performance. . Here sliding surface is being designed for error ...