The combination of dependence-based interval-valued evidential reasoning approach with balanced scorecard for performance assessment

The combination of dependence-based interval-valued evidential reasoning approach with balanced scorecard for performance assessment
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基于依赖的区间值证据推理方法与平衡计分卡相结合的绩效评估

DOI:
10.1016/j.eswa.2011.09.069
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发表时间:
2012-02
影响因子:
8.5
通讯作者:
Fu, Chao
Fu, Chao
中科院分区:
计算机科学1区
文献类型:
--
作者:
Yang, Shanlin;Fu, Chao

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证据推理(ER)方法可以在不确定环境下对同时具有定量和定性属性的多属性决策分析问题进行建模。然而,在真实的情况下,由于信息、知识和数据的不完整或缺乏,对替代品进行精确(明确)的评估对专家来说往往限制太多,也很困难。并且在难以数学建模或不为人知的属性之间可能存在相关性。为了处理这些情况下,本文开发了一个依赖为基础的区间值ER(简称DIER)的方法的基础上Denoeux的谨慎合取规则,这是一个运营商的联合收割机的信念功能,从依赖的来源。基于谨慎规则对相关属性进行集结,构造了一对考虑属性相对权重的非线性优化问题。此外,由于平衡计分卡(BSC)的观点的依赖性,DIER方法与BSC相结合,形成了DIER-BSC,以实施不确定环境下的绩效评估。最后,以某航空供氧冷却设备制造企业传感器部门为例,验证了DIER-BSC的有效性和实用性。
The evidential reasoning (ER) approach can model multiple attribute decision analysis problems with both quantitative and qualitative attributes under the uncertain environment. In real situations, however, giving precise (crisp) assessments for alternatives is often too restrictive and difficult for experts, due to the incompleteness or the lack of information, knowledge and data. And there may be dependence among attributes which is difficult to mathematically model or ill known. To deal with these situations, this paper develops a dependence-based interval-valued ER (shortly called DIER) approach based on Denoeux’s cautious conjunctive rule which is an operator to combine belief functions from dependent sources. A pair of nonlinear optimization problems considering the relative weights of attributes is constructed based on the cautious rule to aggregate dependent attributes. Furthermore, due to the dependence of balanced scorecard (BSC) perspectives, the combination of DIER approach with BSC, called the DIER-BSC, is formed to implement the performance assessment under the uncertain environment. Finally, the performance assessment of the sensors department in a manufacturing company, which provides oxygen supplying and cooling devices for aviation, is demonstrated as an example to verify the validity and usefulness of DIER-BSC.
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