This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The database is reorganised in a new form of representation called reduced database where data are treated as distributions on symbolic values. K e y w o r d s : Bayesian networks, uncertainty, knowledge representation, fuzzy...

The article describes the principles of creating a hybrid prediction model and comprehensive diagnosis malfunctions CNC ma-chine tools. It was proposed to improve configuration diagnostic system in-clude neuro-fuzzy network with dynamic Bayesian algorithm particle filter in it order provide earlier accurate faults. This will make possible predict some initial stages operation machines, when cos...

This special issue encompasses eleven papers devoted to the recent developments in the applications of soft computing (SC) techniques to information retrieval (IR), both in the text and Web retrieval areas. The seed of the current issue were some of the presentations made in two special sessions organized by the guest editors in two different conferences: the First Spanish Conference on The sco...

correct estimation of suspended sediment transported by a river is an important practice in water structure design, environmental problems and water quality issues. conventionally, sediment rating curve used for suspended sediment estimation in rivers. in this method discharge and sediment discharge or concentration related using regression relation that generally is exponential model. respect ...

The paper studies the analogies and parallelism between the Bayesian approach for digital symbol sequences detection in communications problems and the techniques known as Multiple Hypotheses Tracking, which rely on fuzzy systems and inference. This comparison leads to the development of a SAM fuzzy recursive system which online estimates the performance of a blind Bayesian equalizer in a singl...

simultaneous routing and resource allocation has been considered in wireless networks for its performance improvement. in this paper we propose a cross-layer optimization framework for worst-case queue length minimization in some type of fdma based wireless networks, in which the the data routing and the power allocation problem are jointly optimized with fuzzy distributed h∞ control strategy ....

This paper develops a category-theoretic approach to uncertainty, informativeness and decision-making problems. It is based on appropriate first order fuzzy logic in which not only logical connectives but also quantifiers have fuzzy interpretation. It is shown that all fundamental concepts of probability and statistics such as joint distribution, conditional distribution, etc., have meaningful ...

Linear and Non-linear distortion influenced data transmission rate in communication system. In the presence of White Gaussian Noise linear distortion occurs in form of intersymbol interference (ISI) and co-channel interference (CCI). Amplifiers, modulator and demodulator subsystems are caused for Non-linear distortions along with nature of the medium. Different techniques are used to equalized ...

Marine nuclear power platforms can continuously supply electricity and fresh water for marine resource exploration surrounding islands. China’s first platform uses a soft yoke multi-joint connect mode as the mooring positioning device. When needs repair, maintenance, fuel replacement, or different operation area, disconnect must be carried out. The traditional process consists of four stages: c...