Survey on cloud model based similarity measure of uncertain concepts
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 field...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-08-01
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| Series: | CAAI Transactions on Intelligence Technology |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0021 |
| _version_ | 1818612805602902016 |
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| author | Shuai Li Guoyin Wang Jie Yang |
| author_facet | Shuai Li Guoyin Wang Jie Yang |
| author_sort | Shuai Li |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T15:52:04Z |
| format | Article |
| id | doaj.art-e1f08e68ab4f426d9f905aa50b78d251 |
| institution | Directory Open Access Journal |
| issn | 2468-2322 |
| language | English |
| last_indexed | 2024-12-16T15:52:04Z |
| publishDate | 2019-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | CAAI Transactions on Intelligence Technology |
| spelling | doaj.art-e1f08e68ab4f426d9f905aa50b78d2512022-12-21T22:25:40ZengWileyCAAI Transactions on Intelligence Technology2468-23222019-08-0110.1049/trit.2019.0021TRIT.2019.0021Survey on cloud model based similarity measure of uncertain conceptsShuai Li0Guoyin Wang1Jie Yang2Chongqing University of Posts and TelecommunicationsChongqing University of Posts and TelecommunicationsChongqing University of Posts and TelecommunicationsIt 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.https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0021probabilityfuzzy set theoryimage retrievalgeophysics computingcognitioncollaborative filteringpublic opinion guidancebidirectional cognitive transformationqualitative conceptuncertain conceptscloud model theorycloud model based similarity measurereal-life artificial intelligence applicationsimage retrievalsimilarity measure methodscognitive computing modelprobability theoryfuzzy set |
| spellingShingle | Shuai Li Guoyin Wang Jie Yang Survey on cloud model based similarity measure of uncertain concepts CAAI Transactions on Intelligence Technology 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 |
| title | Survey on cloud model based similarity measure of uncertain concepts |
| title_full | Survey on cloud model based similarity measure of uncertain concepts |
| title_fullStr | Survey on cloud model based similarity measure of uncertain concepts |
| title_full_unstemmed | Survey on cloud model based similarity measure of uncertain concepts |
| title_short | Survey on cloud model based similarity measure of uncertain concepts |
| title_sort | survey on cloud model based similarity measure of uncertain concepts |
| topic | 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 |
| url | https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0021 |
| work_keys_str_mv | AT shuaili surveyoncloudmodelbasedsimilaritymeasureofuncertainconcepts AT guoyinwang surveyoncloudmodelbasedsimilaritymeasureofuncertainconcepts AT jieyang surveyoncloudmodelbasedsimilaritymeasureofuncertainconcepts |