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.