Semi-active Fuzzy control of quarter car system having three degrees of freedom and assembled with magnetorheological (MR) shock absorber is studied in present paper. First, experimental work was performed on an MR shock absorber under different excitation conditions to obtain force-displacement and force-velocity curves. Then, for the application of experimental data in semi-active quarter car...

This paper is directed towards an infrastructure for handling both uncertainty and vagueness in the Rules, Logic, and Proof layers of the Semantic Web. More concretely, we present probabilistic fuzzy description logic programs, which combine fuzzy description logics, fuzzy logic programs (with stratified nonmonotonic negation), and probabilistic uncertainty in a uniform framework for the Semant...

In this paper, we introduce the evolutionary design methodology of fuzzy inference systems by means of fuzzy partition of input space. The rules of the proposed fuzzy model are realized with the aid of the fuzzy partition of input space generated by fuzzy c-means clustering algorithm. The number of the partition of input space is equal to the number of clusters. And the individual partitioned s...

This paper considers new downside risk-aversion models for linear optimization (linear programming) with discrete fuzzy random variables. Through new downside risk measures for fuzzy stochastic optimization problems, possibilistic low partial moment (PLPM) models are constructed by incorporating possibility and necessity measures into classical low partial moment. To provide practical models, t...

In this paper a general bottleneck combinatorial optimization problem with uncertain element weights modeled by fuzzy intervals is considered. A possibilistic formalization of the problem and solution concepts in this setting, which lead to compute robust solutions under fuzzy weights are given. Some algorithms for finding a solution according to the introduced concepts and evaluating optimalit...

In the present paper a Korovkin-type theorem is proposed for the approximation operators defined by the inverse Ftransforms. These results allow us to choose between a variety of shapes to be used as atoms of the fuzzy partitions used within the F-transform’s framework. In this way we can enlarge considerably the class of F-transforms proposed recently by I. Perfilieva. The new fuzzy partitions...

The design of neuro-fuzzy networks based on fuzzy respective input space for pattern recognition is introduced in this paper. The premise part of the rules of the proposed networks is realized by partitioning of the fuzzy respective input space. The respectively partitioned spaces express the rules of the networks. The consequence part of the rules is represented by polynomial functions. The co...