Two variants of monadic fuzzy predicate logic are analyzed and compared with the full fuzzy predicate logic with respect to nite model property (properties) and arithmetical complexity of sets of tautologies, satis-able formulas and of analogous notion restricted to nite models.

In this paper, the perturbation of fuzzy connectives and the robustness of fuzzy reasoning are investigated. This perturbation of Schweizer-Sklar parameterized t-norms and its residuated implication operators are given. We show that full implication triple I algorithms based on Schweizer-sklar operators are robust for normalized Minkowski distance.

The full paper will further demonstrate this by using some examples of fuzzy reasoning systems and commercially available Xilinx devices. The continual developments in FPGA technology and their associated cost, and reprogrammability make this approach a viable alternative to the development of custom fuzzy hardware for real-time applications.

WSPC Proceedings-9in x 6in uvcb14amctm-full-eng page 1 In information analysis of the ECG signal, discrete and fuzzy variants of signal encoding are compared for multidisease diagnostic system. Cross-validation experiments on more than 10 000 ECGs and 18 internal diseases show that the AUC performance criterion can be improved by up to 1% with fuzzy encoding.

This paper is concerned with H∞ filtering problem for T-S fuzzy systems with partly immeasurable premise variables. By using measurable premise variables of fuzzy models as the premise variables of fuzzy filters, a new fuzzy filter scheme is constructed. Further based on a class of line integral fuzzy Lyapunov functions, a convex condition for designing H∞ filters is proposed. In contrast to th...

In [14], we have presented a fuzzy forward reasoning methodology for rule-based systems using the functional representation of rules (fuzzy implications). In this paper, we extend methodology for selecting relevant fuzzy implications from [14] in backward reasoning. The proposed methodology takes full advantage of the functional representation of fuzzy implications and the algebraic properties ...

This paper addresses the added value that is provided by using distance-based fuzzy relations in flexible query answering. To use distances and/or concepts of gradual similarity in that domain is not new. Within the last ten years, however, results in the theory of fuzzy relations have emerged that permit a smooth and pragmatic, yet expressive and effective, integration of ordinal concepts too....

| This paper presents a novel method of automatically generating a multi-variable fuzzy inference system from given sample sets. The method exploits the Fourier series expansion in decomposing the sample sets into simpliied tasks of generating a fuzzy system with a single input variable independent of the other variables. Once the single input fuzzy systems are obtained, the resulting decompose...

annihilation or reduction of each kind of noise blended in correct data signals is a field that has attracted many researchers. it is a fact that fuzzy theory presents full capability in this field. fuzzy filters are often strong in smoothing corrupted signals, whereas they have simple structures. in this paper, a new powerful yet simple fuzzy procedure is introduced for sharpness reduction in ...