A Method on Post-evaluation of Whole Staff Performance Management Based on Fuzzy Partial Ordering and Rough Sets
To solve the problem that weights of each attribute of whole staff performance management are often determined subjectively in multi-attribute assessment A whole staff performance management evaluation model based on fuzzy partial ordering and rough set theory is proposed. Sample values having been normalized, each sample is ranked by a fuzzy partial rank model. A decision making information list of continuous values is built so as to solve the problem that there must be decision making information list in general rough sets. Then the weight coefficient of each attribute value is calculated based on generalized importance of attribute to avoid the bad aftereffect worked by dispersing attribute values sensitized to noise and to overcome the problem that general rough sets are difficult to be used in continuous attributes, which have non-commensurability, variation range and strong antagonism. Then, the feasibility and validity of post-evaluation of whole staff performance management is verified by fuzzy partial ordering and rough sets method.
multi-attribute decision making post-evaluation of whole staff performance management fuzzy partial ordering rough sets generalized importance of attribute
YU Shunkun ZHOU Lisha LI Chen
School of Economy and Management North China Electric Power University Beijing 102206, China
国际会议
北京
英文
391-394
2011-08-08（万方平台首次上网日期，不代表论文的发表时间）