管理学报
管理學報
관이학보
Chinese JOurnal of Management
2010年
5期
683~685
,共null页
岗位评价 粗糙集 差别矩阵 属性重要度 权重
崗位評價 粗糙集 差彆矩陣 屬性重要度 權重
강위평개 조조집 차별구진 속성중요도 권중
position evaluation; rough set; discernibility matrix; attribute significance degree; weighting
提出一种基于粗糙集差别矩阵属性重要度的岗位评价方法,该方法充分考虑各个属性的重要程度,降低了打分的主观影响。从岗位的评价出发,根据评价体系赋值的属性重要度来确定岗位包含各种属性的权重,最后得出岗位的评价值,与传统方法采用的指标得分简单加权求和的方法相比,所提方法更具合理性。
提齣一種基于粗糙集差彆矩陣屬性重要度的崗位評價方法,該方法充分攷慮各箇屬性的重要程度,降低瞭打分的主觀影響。從崗位的評價齣髮,根據評價體繫賦值的屬性重要度來確定崗位包含各種屬性的權重,最後得齣崗位的評價值,與傳統方法採用的指標得分簡單加權求和的方法相比,所提方法更具閤理性。
제출일충기우조조집차별구진속성중요도적강위평개방법,해방법충분고필각개속성적중요정도,강저료타분적주관영향。종강위적평개출발,근거평개체계부치적속성중요도래학정강위포함각충속성적권중,최후득출강위적평개치,여전통방법채용적지표득분간단가권구화적방법상비,소제방법경구합이성。
In this paper,a new position evaluation method based on attribute significance degree of rough set discernibility matrix is put forward.The method considers every attribute significance degree and decrease the subjectivity of evaluation.Starting from the evaluation of position,the weights of attributes are figured out for each attribute according to the attribute significance degree of evaluation result system,and then the final evaluation for each position could be worked out.Compared to the traditional method based on simple weighting sum of each indicator,this new method is more reasonable.
