DEA-DA Model And Algorithms With L-R Fuzzy Numbers

When it comes to actual engineering problems, fuzzy environment will be produced because of measurement error, noise, the randomness of the economic environment and quality factors of the environment.The indeterminacy of data,comes from fuzzy system,induce the the accuracy of system identification to be low,the problem of system identification of fuzzy environment has not been satisfactorily resolved.This paper will integrate fuzzy mathematics, operations research, computer science , and principles of other subjects and Method systems.Based on the theoretical research of fuzzy recognition methods of DEA-DA, DEA-DA pattern recognition model with LR fuzzy numbers will be established.It will test the robustness of model by the model sensitivity analysis ,and achieve the high accuracy effective identification of fuzzy system.Model construction will use the integration of fuzzy mathematics, operations research and multivariate statistical analysis methods ,and make use of mixed integer programming,multi-programming algorithm to achieve the computer model.Little of the research of this modle and method has not been discussed in the filed of non-uniform field evaluation model,especially the field of multi-indicators, multi-feature, multi-unit fuzzy recognition.It is highly valuable for application to solve the problem of pattern recognition in fuzzy environment.Making use of the integration of the DEA-DA fuzzy pattern recognition algorithm and computer,it can be used in economic forecasting and early warning, engineering fuzzy recognition and diagnosis, artificial intelligence, knowledge management and data mining areas.It has important theoretical value and application prospects.