The definitions of the number of fuzzy sets and their proper distribution on their domains are fundamental issues for fuzzy systems since these basic parameters deeply affect the quality of the systems results, both in terms of performance rates and interpretability. Several methods have been proposed in the literature to define these parameters, although it is common to find works in which the...

Fuzzy logic is a natural basis for modelling and solving problems involving imprecise knowledge and continuous systems. Unfortunately, fuzzy logic systems are invariably static (once created they do not change) and subjective (the creator imparts their beliefs on the system). In this paper we address the question of whether systems based on fuzzy logic can effectively adapt themselves to dynami...

In this paper we investigate the suitability of a fuzzy system as a classifier for imbalanced data problems. Primarily, the fuzzy model performance is evaluated on artificial data sets, generated with various levels of size, complexity and imbalance. It is investigated what combination of the three problematic issues makes the learning problem harder [4]. A theoretic analysis shows that for a f...

Fuzzy integrals, in general, and Sugeno integrals, in particular, are well known aggregation operators. They can be used in a great variety of decision making applications. Nevertheless, their use is not easy as their interpretation is not straightforward. In this paper we study the interpretation of fuzzy integrals, focusing on Sugeno ones, and we show their application to fuzzy inference syst...

This work presents a supervisory control strategy for Networked Control Systems. This shows the identification and control of a plant using fuzzy theory. The identification is perform through input-output data. The fuzzy model incorporates the delay dynamics within of fuzzy rules. The controller is composed by a nominal control and a proposed supervisory control from the fuzzy model. A system o...

A hierarchical intelligent control system paradigm for a vision-based autonomous driving scheme is presented for a leader-lollowing HMMWV. The paper shows how fuzzy logic is employed to represent knowledge at the organizational level, resolve conflicting perceived information and plan the best path for the vehicle. After introducing the methodology, simulation and experimental aspects for reali...

non-destructive testing & evaluation methods are developed to inspect and investigate materialsand structures. ultrasonic testing is an ndt method can be used for measuring the thickness ofobjects, as one of its significant applications. the objective of this paper is designing and applyingan intelligent ut fuzzy control system for evaluating the thickness of thin metal objects in a rangeof...

this paper tries to determine efficiency of noise control method using fuzzy logic and based on collected data. from among various methods of noise control in workplace, sex methods (enclosure, installing noise absorber, enclosure and absorber, active, and administrative control, and personal protective equipment) were typically selected based on experts' judgment. for each of selected control ...