Affiliations: [a] School of Information Management, Shanghai Lixin University of Accounting and Finance, Shanghai, China | [b] College of Civil Engineering, Institute of Disaster Prevention, Sanhe 065201, Hebei, China | [c] Department of Mathematics and Physics, Catholic University of the Sacred Heart, Brescia, Italy
Correspondence:
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Corresponding author: Jing Tian, College of Civil Engineering, Institute of Disaster Prevention, Sanhe 065201, Hebei, China. E-mail: tianjingle27@163.com.
Abstract: One core technology in the model of Attribute Comprehensive Evaluation is the application of the barycentric curve which simulates the psychological change of the evaluators, but original method can only select three total score hyperplanes when calculates the barycentric curve, when data set is big, it’s impossible to accurately reflect the psychological change of the evaluators. In order to solve this problem, in this paper morphic computing is applied to calculate the barycentric curve, it can apply more total score hyperplanes when compute the barycentric curve, so makes the results more accurate. The simulation results show the effectiveness of the improved method.
Keywords: Comprehensive evaluation, morphic computing, morphogenetic system
