From fuzzy logic to expert systems

Fuzzy situational inference for expert systems with fuzzy logic

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

Fuzzy Expert Systems

In this Chapter, the steps necessary to develop a fuzzy expert system (FES) from the initial model design through to final system evaluation will be presented. The current state-of-the-art of fuzzy modelling can be summed up informally as 'anything goes'. What this actually means is that the developer of the fuzzy model is faced with many steps in the process each with many options from which s...

Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems

The formal concept of logical equivalence in fuzzy logic 8;25 , while theoretically sound, seems impractical. The misinterpretation of this concept has led to some pessimistic conclusions 4. Motivated by practical interpretation of truth values for fuzzy propositions, we take the class (lattice) of all sub-intervals of the unit interval 0,1] as the truth value space for fuzzy logic, subsuming t...

From Fuzzy Logic to Fuzzy Mathematics