New algorithm of meta-synthesis based on artificial neural network
Yang Gao · Systems engineering and electronics · 2004
Aimed at discrepant problems of every evaluated method's results and subjective randomicity which exist in present multiobjective comprehensive evaluation and based on analytic hierarchy process(AHP), principal component analytic (PCA) and articfical neural network(ANN), a new algorithm of metasynthesis from qualitiative to quantitative is proposed and used to comprehensive evaluation. Based on the theory of artificial neural network, the algotithm absorbs the skill which is used to determine the power by AHP and the excellence which is used to get principal component by PCA. The model of a new multiobjective comprehensive evaluation——AHP-PCA-ANN is proposed. Its constitutional principle and method are given, the main tasks of every step are described.Finally, by concrete example of the total quality management comprehensive evaluation in a certain construction bank of Hunan, its feasibility and effectiveness are proved.