發(fā)布時間：2018-06-09 03:43

  本文選題：綜合評價 + 激勵評價　； 參考：《系統(tǒng)工程理論與實踐》2017年02期

【摘要】：為在信息集結(jié)過程中體現(xiàn)指標(biāo)值的相對發(fā)展水平,提出了一種新的集結(jié)方法,即有序分位加權(quán)集結(jié)算子.該算子尤其適用于激勵評價問題,其主要特征是用分位數(shù)表示指標(biāo)值的相對發(fā)展水平,并且在信息集結(jié)過程中融入了決策者不同程度的激勵偏好.通過性質(zhì)分析,發(fā)現(xiàn)該算子具有置換不變性、界值性和條件單調(diào)性等特征.進(jìn)一步,以算例的方式分析了該算子在激勵評價中的應(yīng)用問題,發(fā)現(xiàn)該算子在信息集結(jié)中通過權(quán)重加和不等于1的方式能夠放大或縮小集結(jié)值,從而凸顯被評價對象之間的差異,實現(xiàn)激勵的目的.
[Abstract]:In order to reflect the relative development level of the index value in the process of information aggregation, a new aggregation method, the ordered quantile weighted aggregation operator, is proposed. This operator is especially suitable for incentive evaluation problems. The main feature of the operator is that the relative development level of the index value is expressed by quantiles, and the decision makers' incentive preferences are incorporated in the process of information aggregation. By property analysis, it is found that the operator is permutation invariant, bounded value and conditional monotonicity. Furthermore, the application of the operator in incentive evaluation is analyzed by a numerical example. It is found that the operator can enlarge or reduce the aggregation value by adding the weight and not equal to 1 in the information aggregation. In order to highlight the difference between the object of evaluation, to achieve the purpose of motivation.
【作者單位】： 東北大學(xué)工商管理學(xué)院;東北大學(xué)東北評價中心;
【基金】：國家自然科學(xué)基金(71671031) 中國博士后科學(xué)基金(2015M570256)~~
【分類號】：C934
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本文編號：1998728