Traditional image change detection based on a non-subsampled contourlet transform always ignores the neighborhood information's relationship to the non-subsampled contourlet coefficients, and the detection results are susceptible to noise interference. To address these disadvantages, we propose a denoising method based on the non-subsampled contourlet transform domain that uses the Hidden Marko...

In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often inappropriate for this task due to a lack of su cient probabilistic information during the design and prototyping phases. Fuzzy logic o ers an alternative to the probability paradi...

In the present paper we develop a stochastic (Markov chain) model for a mathematical description of the decision making (DM) process and we apply principles of fuzzy logic (FL) in representing the DM process in a fuzzy environment. Further, we develop an innovative approach for studying the step of verification of a chosen decision, which is based on principles of FL (a special form of the COG ...

As Mobile ad hoc networks (MANETs) deployed in adversary environments. There are several routing protocols required to switch data from one node to another but nonetheless they venerable from variety of attacks. Trust model, an abstract psychological perceptive process, is one of the utmost multifarious perceptions in social relationships, concerning factors such as expectations, potentials and...

Directed hypergraphs represent a general modelling and algorithmic tool, which have been successfully used in many different research areas such as artificial intelligence, database systems, fuzzy systems, propositional logic and transportation networks. However, modelling Markov decision processes using directed hypergraphs has not yet been considered. In this paper we consider finite-horizon ...

We consider cyclic non homogeneous fuzzy Markov chains where there are uncertainties in the transition possibilities. These uncertainties are modeled by triangular fuzzy number. Using the algorithm for finding the greatest eigen fuzzy sets we have analyzed the long term behavior of the system and this is illustrated with the numerical example. Mathematics Subject Classification: 03E72, 60J10

A new fuzzy technique called fuzzy entropy (FE) clustering is proposed and applied to hidden Markov models (HMMs) for speech recognition. FE-HMMs, both discrete and continuous, are proposed in this paper. Experimental results in speech recognition show good results for FE models compared with fuzzy C-means and conventional models.

conclusions the use of sof + pr regimen or ldv/sof can significantly reduce the incidence of complications associated with the disease. for example, short and long-term outcomes are better than the current drug regimens for hcv genotype 1 patients in all stages of the disease. objectives this study is aimed to assess the cost-effectiveness of the three drug regimens of pegylated interferon and ...