面向复杂评价模型的证据推理方法

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Abstract Since the attribute aggregation of the evidential reasoning approach with multiple-level hierarchical structures is implemented in a recursive way, the aggregation times are the number of the branch nodes of attribute tree, which results in a large amount of calculation. To reduce the amount of calculation, a non-recursive aggregation approach is proposed and its time complexity is compared with that of the recursive approach. To explore the accuracy and the nonlinear characteristics of the non-recursive approach to dealing with different belief distributions, the belief degrees and the utilities of the aggregated attribute are calculated in terms of the belief structures of harmony, quasi-harmony and conflict, respectively. The nonlinear characteristics of the two aggregation approaches are analyzed based on the comparison of formula derivation and experimental results, and the accuracy of the non-recursive approach is examined from the angle of relative errors. The experimental results and the numeric example show the effectiveness of the proposed approach.

Key words： Evidential Reasoning Complex Evaluation Model Recursive Way Non-recursive Way Nonlinear Characteristic

Received: 13 May 2013

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	Articles by authors
	FU Yang-Geng
	YANG Long-Hao
	WU Ying-Jie

Cite this article:

FU Yang-Geng,YANG Long-Hao,WU Ying-Jie. Evidential Reasoning Approach for Solving Complex Evaluation Models[J]. , 2014, 27(4): 313-326.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2014/V27/I4/313

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