期刊名称：Annals of Library and Information Studies (ALIS)
印刷版ISSN：0975-2404
出版年度：2019
卷号：66
期号：3
页码：110-116
出版社：Annals of Library and Information Studies (ALIS)
摘要：The paper discusses a method of using document clustering for information/knowledge synthesis and decision facilitation in R&D organisations. The emerging methodologies of machine learning, artificial intelligence and data science in conjunction with fuzzy mathematics can be optimally exploited to catalyse development of information bank for research organisations. This knowledge ecosystem can be utilized by the proposed mechanism to accelerate and reinforce interdisciplinary research for R&D organisations and empower them to make efficacious information-driven decisions related to project portfolio selection and proposal funding.
其他摘要：The paper discusses a method of using document clustering for information/knowledge synthesis and decision facilitation in R&D organisations. The emerging methodologies of machine learning, artificial intelligence and data science in conjunction with fuzzy mathematics can be optimally exploited to catalyse development of information bank for research organisations. This knowledge ecosystem can be utilized by the proposed mechanism to accelerate and reinforce interdisciplinary research for R&D organisations and empower them to make efficacious information-driven decisions related to project portfolio selection and proposal funding.
关键词：Decision Support System (DSS); Soft clustering; Information synthesis; Fuzzy clustering
其他关键词：Decision Support System (DSS);Soft clustering;Information synthesis;Fuzzy clustering
