Linguistic Dynamic Analysis and Evaluation Based on Partially Connected Type-2 Fuzzy Sets
Autor: | Li Runze, Xuanming Zhao, Linli Wei, Yaqiong Zeng, Fei-Yue Wang, Hong Mo |
---|---|
Rok vydání: | 2019 |
Předmět: |
Computer science
Fuzzy set Computational intelligence 02 engineering and technology Type (model theory) Object (computer science) Fuzzy logic Linguistics Theoretical Computer Science Computational Theory and Mathematics Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Software Natural language |
Zdroj: | International Journal of Fuzzy Systems. 21:2147-2154 |
ISSN: | 2199-3211 1562-2479 |
DOI: | 10.1007/s40815-019-00712-z |
Popis: | In general, evaluating an object is mainly expressed by natural language. It is not easy for people to evaluate an object with accurate mathematical methods. In this paper, partially connected type-2 fuzzy sets, linguistic dynamic systems and fuzzy comprehensive evaluation are used to evaluate an object, and the evaluation results are expressed by type-2 fuzzy sets. The method of evaluation is presented and the results indicate that this method is both feasible and effective. |
Databáze: | OpenAIRE |
Externí odkaz: |