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Robustness analysis of the interval-valued fuzzy inference algorithms1.
- Source :
-
Journal of Intelligent & Fuzzy Systems . 2020, Vol. 38 Issue 1, p685-696. 12p. - Publication Year :
- 2020
-
Abstract
- A new distance metric between interval-valued fuzzy sets is proposed. The four special logic metric spaces based on the distance are structured. we analysis and compare the structures of the four logic metric spaces. It is shown that the Łukasiewicz logic metric space and Goguen logic metric space are more suitable for interval-valued fuzzy reasoning. Moreover, the robustness of interval-valued fuzzy reasoning triple I methods are studied in the two logic metric spaces. We prove that fuzzy reasoning triple I methods based on the interval-valued Łukasiewicz residuated implication and interval-valued Goguen residuated implication are robust. [ABSTRACT FROM AUTHOR]
- Subjects :
- *INTERVAL analysis
*METRIC spaces
*FUZZY sets
*LOGIC
Subjects
Details
- Language :
- English
- ISSN :
- 10641246
- Volume :
- 38
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Intelligent & Fuzzy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 141154703
- Full Text :
- https://doi.org/10.3233/JIFS-179441