Abstract The objective of the present research is to establish and prove some new common fuzzy fixed-point theorems for set-valued mappings involving Θ-contractions in a complete metric space. For this purpose, novel integral-type contraction condition applied obtain these results. In way, several useful classical results have been generalized. Moreover, concrete example created furnish our An ...

muscle fatigue assessment has been the basis of numerous studies, specifically, in neuromuscular rehabilitation and the applications of fessystems. various emgbased techniques, in time and frequency domains, have been investigatedover years for the detection and evaluationof this phenomenon. the main objective of this study has beento evaluate the efficiency of applying a number of techniques w...

Ordinary differential equations that includes stochastic processes in their vector fields are called random ordinary equations, considered through this work as a Weiner process or also Brownian motion. In paper, fuzzy considered, which the fuzziness appears initial conditions terms of triangular numbers. Such crucial theory dynamical systems and/or modern control and therefore existence unique ...

This study proposes a new single-solution based metaheuristic, namely the Vortex Search algorithm (VS), for fuzzy clustering of ECG beats. The newly proposed metaheuristic is quite simple and highly competitive when compared to the population-based metaheuristics. In order to study the performance of the proposed method a number of experiments are performed over a dataset which is created by us...

This paper describes a general fuzzy min-max (GFMM) neural network which is a generalization and extension of the fuzzy min-max clustering and classification algorithms developed by Simpson. The GFMM method combines the supervised and unsupervised learning within a single training algorithm. The fusion of clustering and classification resulted in an algorithm that can be used as pure clustering...

This manuscript contains several fixed point results for αΓ-F-fuzzy contractive mappings in the framework of orthogonal fuzzy metric spaces. The symmetric property guarantees that distance function is consistent and does not favour any one direction No matter how points are arranged, it enables a fair assessment separations between all them. In results, symmetry condition preserved types self-m...

In this article, we introduce the notions of extended b -rectangular and controlled rectangular fuzzy metric-like spaces that generalize many metric in literature. We give examples to justify our newly defined prove these are not Hausdorff. use contraction Banach fixed point theorems spaces. As an application, utilize ma...

We propose a fuzzy rule-based system to map representations of the emotional state of an animated agent onto muscle contraction values for the appropriate facial expressions. Our implementation pays special attention to the way in which continuous changes in the intensity of emotions can be displayed smoothly on the graphical face. The rule system we have defined implements the patterns describ...

jachymski [ proc. amer. math. soc., 136 (2008), 1359-1373] gave modified version of a banach fixed point theorem on a metric space endowed with a graph. in the present paper, (g, φ)-graphic contractions have been de ned by using a comparison function and studied the existence of fixed points. also, hardy-rogers g-contraction have been introduced and some fixed point theorems have been proved. s...

The kernelized fuzzy c-means algorithm uses kernel methods to improve the clustering performance of the well known fuzzy c-means algorithm by mapping a given dataset into a higher dimensional space non-linearly. Thus, the newly obtained dataset is more likely to be linearly seprable. However, to further improve the clustering performance, an optimization method is required to overcome the drawb...