Telecommunications is the todays’ leading industry. Value Added Services (VAS) is considered as one of the most money making segments of Telecom services. The purpose of this paper is to allocate promotional marketing strategies to customer segments. Therefore, a four-phase practical framework is developed to prioritize marketing strategies based on Customer Lifetime Value (CLV). The first phas...

Based on the concept of an interval-valued function which is motivated by the goal to represent an uncertain function, we define the Choquet integral with respect to a fuzzy measure of intervalvalued functions. We also discuss convergence in the C mean and convergence in a fuzzy measure of sequences of measurable interval-valued functions. In particular, we investigate the convergence theorem f...

This paper proposes a novel fuzzy neural network model based on fuzzy clustering method. The model can accept continuous and discrete inputs together; the discrete input to the model is divided into several clusters by using fuzzy c-mean clustering algorithm (FCM). A fuzzy clustering neuron (FC-neuron) is designed to calculate a membership degree value belonging to one cluster for each discrete...

we consider the concept of fuzzy quasi-contractions initiated by '{c}iri'{c} in the setting of fuzzy metric spaces and establish fixed point theorems for quasi-contractive mappings and for fuzzy $mathcal{h}$-contractive mappings on m-complete fuzzy metric spaces in the sense of george and veeramani.the results are illustrated by a representative example.

Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this paper, we introduce fuzzy swarm particle optimization technique for convergence of associative neural memories based on fuzzy set theory. An FPSO ...

The exploitation of medical images is done by several physical principals or modalities such as X-ray, CT, PET, MRI, etc. The essential task of Image segmentation is done on the images acquired from these modalities. This paper focuses on the segmentation using hybrid technique. The concatenation of Wavelets, Active contours and fuzzy c means has been done so as to attain efficient segmented im...

This paper presents a density estimator based upon a histogram computed on a fuzzy partition. We prove the consistency of this estimator in the Mean Squared Error (MSE). We give the optimal bin width of the estimator which minimizes the Asymptotic Integrated Mean Squared Error (AIMSE). c © 2008 Elsevier B.V. All rights reserved.