基于非均匀性语言标度和DLWA算子的动态绩效模糊群决策研究

Research on Dynamic Performance Fuzzy Assessment in Group Decision Making based on Non-uniformity Additive Linguistic Evaluation Scale and DLWA Operator

基于企业人力资源管理(HRM)系统中职能管理部门年度绩效考核决策评价和选优序列生成过程中的数据的不确定性、随机性和模糊性,通过设计季度绩效多维度模糊评价体系,采用非均匀加性语言评估标度定性的多维度评价,构建动态加性语言判断矩阵模型,利用DLWA算子等语言信息集成算子,集成多个决策者不同时期绩效指标评价数据,并整合不同决策者的偏好度,综合呈现年度部门业绩选优序列,优化提升职能管理部门绩效考核决策的精确性、公平性和可信度。

Considering the uncertainty, randomness, fuzziness of data raised from functional management＇ s annual performance assessment and excellent selection process in enterprises~ HRM system. This article aims to optimize performance assessment activities in Functional Management by designing a quarterly multi-dimensional fuzzy evaluation system and adopting term-wise and qualitative evaluation method which is based on non-uniformity additive linguistic evaluation scale, a constructing dynamic additive linguistic judgment matrix model is constructed to optimize performance assessment activities in functional manage- ment. Using linguistic information aggregation operators like DLWA, subjects~ evaluation data in various performance indicators and different period and different subjects＇ preference degree are integrated, all of which can reflect function management departments＇ performance comprehensively.