Survey on cloud model based similarity measure of uncertain concepts

• 作者: Guoyin Wang Jie Yang Shuai Li
• 来源期刊: 智能技术学报
• 学科: 工学
• 关键词: artificial SIMILARITY CLOUD
• 年，卷（期）: znjsxb_2019,（4）
• 页码范围: 223-230
• 页数: 8页
• 分类号: TP3

摘要

It is a basic task to measure the similarity between two uncertain concepts in many real-life artificial intelligence applications,such as image retrieval,collaborative filtering,public opinion guidance,and so on.As an important cognitive computing model,cloud model has been used in many fields of artificial intelligence.It can realise the bidirectional cognitive transformation between qualitative concept and quantitative data based on the theory of probability and fuzzy set.The similarity measure of two uncertain concepts is a fundamental issue in cloud model theory.Popular similarity measure methods of cloud model are surveyed in this study.Their limitations are analysed in detail.Some related future research topics are proposed.