文献类型：期刊文献

英文题名：Normalized projection approach to group decision-making with hybrid decision information

作者：Yue, Chuan[1]

机构：[1]Guangdong Ocean Univ, Coll Math & Comp Sci, Zhanjiang 524088, Peoples R China

年份：2018

卷号：9

期号：8

起止页码：1365

外文期刊名：INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS

收录：SCI-EXPANDED(收录号：WOS:000438855100010)、、EI(收录号：20183005582321)、Scopus(收录号：2-s2.0-85030784201)、WOS

基金：The author would like to thank the editors and the anonymous reviewers for their insightful and constructive comments and suggestions that have led to this improved version of the paper. This work was partially supported by the Education and Teaching Reform Program of Guangdong Ocean University (XJG201644).

语种：英文

外文关键词：Normalized projection measure; Group decision-making; Interval data; Hybrid decision information

外文摘要：Projection is an important measure in decision science, and it is also often used as a tool for various administrators. However, there are some defects in the existing projection models. To solve this significant scientific problem, this paper intends to establish new projection measures between two real vectors and between two interval vectors. First, the hidden flaws of existing projection measures are pertinently shown, and new projection measures in real number and interval settings are established, which satisfy the condition of normalization. Then new projection measures are applied to group decision-making with hybrid decision information, including real numbers and interval data. Finally, an experimental analysis shows the applicability, feasibility, effectiveness and advantages of the proposed methods.