# [1]徐泽水,吴应宇,达庆利.一种改进的行和归一化排序方法[J].东南大学学报(自然科学版),2004,34(4):518-522.[doi:10.3969/j.issn.1001-0505.2004.04.022] 　Xu Zeshui,Wu Yingyu,Da Qingli.Improved normalizing rank aggregation method for priorities[J].Journal of Southeast University (Natural Science Edition),2004,34(4):518-522.[doi:10.3969/j.issn.1001-0505.2004.04.022] 点击复制 一种改进的行和归一化排序方法() 分享到： var jiathis_config = { data_track_clickback: true };

34

2004年第4期

518-522

2004-07-20

## 文章信息/Info

Title:
Improved normalizing rank aggregation method for priorities

Author(s):
College of Economics and Management, Southeast University, Nanjing 210096, China

Keywords:

C934
DOI:
10.3969/j.issn.1001-0505.2004.04.022

Abstract:
An improved normalizing rank aggregation method(INRAM)for priorities of reciprocal judgment matrices is presented and some of its desirable properties, such as rank preservation, compatibility, cumulative dominance, are studied. By using the transformation formulas of reciprocal judgment matrix and complementary judgment matrix, the corresponding method for priorities of complementary judgment matrix is also given. The priority theory of reciprocal judgment matrices and complementary judgment matrices is thus developed. Finally, the normalizing rank aggregation method(NRAM)and the INRAM are compared with the eigenvector priority method(EM)and the logarithmic least squares method(LLSM)through some numerical examples. The numerical results show that the INRAM is simple, feasible and can get the same priorities as that of the EM. Thus it can get underlying priorities for alternatives.

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