The shape of if-part fuzzy sets affects how well feedforward fuzzy systems approximate continuous functions. We explore a wide range of candidate if-part sets and derive supervised learning laws that tune them. Then we test how well the resulting adaptive fuzzy systems approximate a battery of test functions. No one set shape emerges as the best shape. The sinc function often does well and has ...

The scope of the study was a retrospective evaluation, involving a 1‐3 year follow‐up period, of the periodontal condition of teeth with fixed crowns. The experimental group was formed of 40 patients having followed a prosthetic treatment with ceramic crowns. The complete clinical evaluations performed included analysis of the plaque index (IP), of the index of gingival bleeding (ISG), probing ...

Software quality estimation based on measured attributes from previous similar products is an active field of research. Such estimation models must inevitably handle imprecision and uncertainty and hence soft computing techniques are gaining popularity. This paper presents a Fuzzy rule based classifier for software quality data and its performance is compared with Bayesian classifier. The fuzzy...

The aim of the research is to find out effect applying classroom assessment techniques (CATs) on both mathematical and logical thinking among fourth-grade scientific students. In pursuit objectives, experimental method was used, quasi-experimental design used for two equivalent groups, one control group taught in traditional way other according structural evaluation. sample consisted (44) stude...

The application of fuzzy-based control strategies has recently gained enormous recognition as an approach for the rapid development of effective controllers for nonlinear time-variant systems. This paper describes the preliminary research and implementation of a fuzzy logic based controller to control the wheel slip for electric vehicle antilock braking systems (ABSs). As the dynamics of the br...

the classification and regression trees (cart) possess the advantage of being able to handlelarge data sets and yield readily interpretable models. in spite to these advantages, they are alsorecognized as highly unstable classifiers with respect to minor perturbations in the training data.in the other words methods present high variance. fuzzy logic brings in an improvement in theseaspects due ...