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The application of self-adapting weighting(SAW) evidence fusion algorithm in the fault diagnosis of the gas turbine is discussed and a new multi-level information fusion model is proposed. Then address to minimizing the senor measurement uncertainty(MU), the model firstly adopts the self-adapting weighting fusion algorithm for the congenetic data fusion. Then the fault evidence is calculated based...
The basic theory of the evidential reasoning (ER) approach is firstly introduced. Since many uncertainties and ambiguities are included in a variety of real decision making problems, accurate number is not competent for the description of the assessment value any more. Some ER models in the circumstance of interval belief degrees or interval weights are then proposed by some people. The analytical...
The existing researches on highway express passenger transportation (HEPT) have been studied, and an improved evaluation attribute system of the assessment to HEPT company is constructed. Considering the disagreement in group of experts and the majority of uncertainties in the process of assessment to HEPT company, an evidential reasoning (ER) approach based HEPT company assessment model is proposed...
Multiple-attribute decision analysis (MADA) problem consists of both quantitative data and qualitative information with subjective judgments of ambiguity. The evidential reasoning (ER) approach is well-suited for dealing with such MADA problems and can generate comprehensive distributed assessments for different alternatives. In the ER approach, many types of uncertainties could be considered such...
A multi-channel aerosol retrieval algorithm has been developed for the Advanced Baseline Imager (ABI) onboard the next generation US Geostationary Operational Environmental Satellite (GOES-R series). Testing and evaluation of this algorithm is carried out with model simulated and satellite-observed multi-spectral reflectance. Sensitivity tests with synthetic reflectance show that ABI retrieved aerosol...
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