Linguistic-value appraisement extensively exists in artificial intelligence and social system. In the appraisement of enterprise human resource, there is a great amount of linguistic-value information. In order to imp...Linguistic-value appraisement extensively exists in artificial intelligence and social system. In the appraisement of enterprise human resource, there is a great amount of linguistic-value information. In order to improve the reasonability of the result of appraisement of enterprise human resource, we need to study the methods for processing the linguistic-value information. In this paper, a 2-stages method is proposed for processing the linguistic-value appraisement of enterprise human resource. At the first stage, we choose the experts familiar with the related field according to the appraisement goal and problem. At the second stage, we combine the appraisement results by D-S evidence theory or LOWA operator according to the nature of linguistic variable.展开更多
基金support of National Social Science Foundation of China(Grant No.03CJL004)National Natural Science Foundation of China(Grant No.60074014).
文摘Linguistic-value appraisement extensively exists in artificial intelligence and social system. In the appraisement of enterprise human resource, there is a great amount of linguistic-value information. In order to improve the reasonability of the result of appraisement of enterprise human resource, we need to study the methods for processing the linguistic-value information. In this paper, a 2-stages method is proposed for processing the linguistic-value appraisement of enterprise human resource. At the first stage, we choose the experts familiar with the related field according to the appraisement goal and problem. At the second stage, we combine the appraisement results by D-S evidence theory or LOWA operator according to the nature of linguistic variable.
