文献类型：期刊文献

英文题名：An interval-valued intuitionistic fuzzy projection-based approach and application to evaluating knowledge transfer effectiveness

作者：Yue, Chuan[1]

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

年份：2019

卷号：31

期号：11

起止页码：7685

外文期刊名：NEURAL COMPUTING & APPLICATIONS

收录：SCI-EXPANDED(收录号：WOS:000492056500047)、、EI(收录号：20182805535244)、Scopus(收录号：2-s2.0-85049582673)、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 supported partially by the Young Creative Talents Project from Department of Education of Guangdong Province (No. 2016KQNCX064), the Education and Teaching Reform Program of Guangdong Ocean University (No. XJG201644) and the Monitoring System Managed by Underwater Robot for Deep Sea Cage Culture (No. GDOU2017052605).

语种：英文

外文关键词：Normalized projection; Group decision-making; Interval-valued intuitionistic fuzzy number; Knowledge transfer effectiveness

外文摘要：Projection measure is one of the most important tools for group decision-making (GDM) problems. However, this research finds that the existing projection measure is not always reasonable in interval-valued intuitionistic fuzzy setting. To solve this problem, this research intends to (1) propose a new normalized projection measure in interval-valued intuitionistic fuzzy setting; (2) develop a GDM model based on the new projection measure; and (3) apply the developed model to evaluating knowledge transfer effectiveness for software development team. The feasibility and practicability developed method in this work are illustrated by an experimental analysis.