Survey on cloud model based similarity measure of uncertain concepts

Abstract

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.

Keywords

• probability
• fuzzy set theory
• image retrieval
• geophysics computing
• cognition
• collaborative filtering
• public opinion guidance
• bidirectional cognitive transformation
• qualitative concept
• uncertain concepts
• cloud model theory
• cloud model based similarity measure
• real-life artificial intelligence applications
• image retrieval
• similarity measure methods
• cognitive computing model
• probability theory
• fuzzy set