We propose a new method to segment 3D structures with competitive level sets driven by a shape model and fuzzy control. To this end, several contours evolve simultaneously toward previously defined targets. The main contribution of this paper is the original introduction of prior information provided by a shape model, which is used as an anatomical atlas, into a fuzzy decision system. The shape...

Proving  fixed point theorem in a fuzzy metric space is not possible for  Meir-Keeler contractive mapping. For this, we introduce the notion of $c_0$-triangular fuzzy metric space. This new space allows us to prove some fixed point theorems for  Meir-Keeler contractive mapping. As some pattern we introduce the class of $alphaDelta$-Meir-Keeler contractive and we establish some results of fixed ...

Fractional Differential inclusions, the multivalued version of fractional differential equations, yellow play a vital role in various fields applied sciences. In present article, class q-rung orthopair fuzzy (q-ROF) set valued mappings along with q-ROF upper/lower semi-continuity have been introduced. Based on these ideas, existence theorems for numerical solution distinct inclusions achieved h...

As it is not always true that the distance between points in fuzzy rectangular metric spaces one, so we introduce notions of and b-rectangular metric-like set theory generalize many existing results, which can be regarded as main advantage this paper. In these spaces, symmetry property preserved, but self may equal to one. We discuss topological properties demonstrate neither Hausdorff. Using α...

This article presents a new technique to detect a premature atrial contraction (PAC). The technique employs a hybrid of particle swarm optimization (PSO) and fuzzy inference system (FIS), and is called PSO-FIS. In the detection electrocardiographic features are used for the inputs of PSO-FIS. In PSO-FIS, a PSO is used to find the optimal parameters of the FIS. A Gaussian function is employed fo...

After long-term exploration, it has been well established for the mechanisms of electrocardiogram (ECG) in health monitoring of cardiovascular system. Within the frame of an intelligent home healthcare system, our research group is devoted to researching/developing various mobile health monitoring systems, including the smart ECG interpreter. Hence, in this paper, we introduce a fuzzy classifie...

In this paper, a rule extraction method using a modified fuzzy minmax neural network for dynamic hand gesture recognition is introduced. We present a feature relevance measure for the pattern classification based on FMM neural networks. During the learning process, the feature distribution information is utilized to compensate the hyperbox distortion which may be caused by eliminating the overl...

In this paper, we present a rule extraction method using a modified fuzzy min-max neural network for dynamic hand gesture recognition. We introduce a feature relevance measure for the pattern classification based on FMM neural networks. During the learning process, the feature distribution information is utilized to compensate the hyperbox distortion which may be caused by eliminating the overl...

Very recently, Fang (Fuzzy Sets Syst. 267:86-99, 2015) gave some fixed point theorems for probabilistic φ-contractions in Menger spaces. Fang’s results improve the one of Jachymski (Nonlinear Anal. 73:2199-2203, 2010) by relaxing the restriction on the gauge function φ . In this paper, inspired by the results of Fang, we prove a new fixed point theorem for a probabilistic φ-contraction in Menge...