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A comprehensive performance evaluation framework of complex products based on a fuzzy AHP and DS theory

International Journal of Modeling, Simulation, and Scientific Computing 2016年第3期7卷 181-198页

作者： Yuhong Li Guanghong Gong Ni Li School of Automation Science Beihang University(BUAA)Beijing 100191 P.R.China

With the development of computer technique,performance evaluation of complex products is playing an increasingly critical role in ensuring product quality and improving development *** extensible comprehensive performance evaluation framework with the integration of effective group decision-making algorithms could be a supporting tool to achieve an efficient evaluation process and reduce comprehensive evaluation *** paper aims to provide a evaluation framework with friendly interactive operation and extensive expansibility,which adopts a multi-expert evaluation approach based on fuzzy,analytical hierarchy process(FAHP)and Dempstere–Shafer(DS)theory(FADS)in order to consider experts’relative importance *** addition,an extensible evaluation process and related auxiliary functions are implemented in the framework,including the establishment of an assessment index system,integration and calls of multiple types of testing data preprocessing methods and index assessment methods suitable for small sample data,graphical result display and data analysis,***,performance evaluation cases of two models of airborne radar anti-jamming are presented to verify the feasibility and expansibility of our assessment *** group decision-making method shows its effectiveness compared with the experimental evaluation results by the FAHP researched method.

关键词： Evaluation framework small sample data analytical hierarchy process fuzzy Dempstere-Shafer theory.

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Structural Reliability Analysis Based on Support Vector Machine and Dual Neural Network Direct Integration Method

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Journal of Donghua University(English Edition) 2021年第1期38卷 51-56页

作者： NIE Xiaobo LI Haibin College of Mechanical Engineering Inner Mongolia University of TechnologyHohhot 010051China College of Science Inner Mongolia University of TechnologyHohhot 010051China Inner Mongolia Key Laboratory of Advanced Manufacturing Technology Hohhot 010051China

Aiming at the reliability analysis of small sample data or implicit structural function,a novel structural reliability analysis model based on support vector machine(SVM)and neural network direct integration method(DNN)is ***,SVM with good small sample learning ability is used to train small sample data,fit structural performance functions and establish regular integration ***,DNN is approximated the integral function to achieve multiple integration in the integration ***,structural reliability was obtained by *** examples are investigated to demonstrate the effectiveness of the present method,which provides a feasible way for the structural reliability analysis.

关键词： support vector machine(SVM) neural network direct integration method structural reliability small sample data performance function

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Bayesian Method Reliability of Flight Simulator

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International English Education Research 2017年第1期 76-78页

作者： WANG Li XIONG Jing Shanghai University of Engineering Science Shanghai 201620 China

This paper introduces the basic viewpoints and characteristics of Bayesian statistics. Which provides a theoretical basis for solving the problem of small sample of flight simulator using Bayesian method. A series of formulas were derived to establish the Bayesian reliability modeling and evaluation model for flight simulation equipment. The two key problems of Bayesian method were pointed out as follows： obtaining the prior distribution of WeibuU parameter, calculating the parameter a posterior distribution and parameter estimation without analytic solution, and proposing the corresponding solution scheme.

关键词： small sample data Flight simulation equipment Reliability modeling Bayesian method Weibull parameter

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