Temat: 2-uncertain rule - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Some examples of reasoning with 2-uncertain rules
Autorzy:: Szymkowiak, M.
Powiązania:: https://bibliotekanauki.pl/articles/332996.pdf
Data publikacji:: 2012
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: całokształt eksploracji danych medycznych
łańcuch rozumowania
wewnętrzna i globalna solidność
medical aggregate data mining
2-uncertain rule
reasoning chain
internal and global reliability
Opis:: In the paper some examples of reasoning with 2-uncertain rules are presented. First of all, they will illustrate the method for designing 2-uncertain rules from medical aggregate data. The obtained rules compose the knowledge base of a medical Rule-Based System (RBS) aiding medical diagnosis and treatment. For each obtained rule two determined factors of rules' reliability - global and internal ones - will rank it in the designed RBS. Furthermore, the presented examples will realize the influence of the reliability factors on the process of uncertain reasoning.
Źródło:: Journal of Medical Informatics & Technologies; 2012, 20; 49-57
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Hybrid Learning of Interval Type-2 Fuzzy Systems Based on Orthogonal Least Squares and Back Propagation for Manufacturing Applications
Autorzy:: Mendez, G.
Hernandez, A.
Powiązania:: https://bibliotekanauki.pl/articles/384517.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: type-2 fuzzy inference systems
type-2 neuro-fuzzy systems
hybrid learning
uncertain rule-based fuzzy logic systems
Opis:: This paper presents a novel learning methodology based on the hybrid algorithm for interval type-2 (IT2) fuzzy logic systems (FLS). Since in the literature only back-propagation method has been proposed for tuning of both antecedent and consequent parameters of type-2 fuzzy logic systems, a hybrid learning algorithm has been developed. The hybrid method uses recursive orthogonal least-squares method for tuning of consequent parameters as well as the back-propagation method for tuning of antecedent parameters. The systems were tested for three types of inputs: a) interval singleton b) interval type-1 (T1) non-singleton, c) interval type-2 non-singleton. The experimental results of the application of the hybrid interval type-2 fuzzy logic systems for scale breaker entry temperature prediction in a real hot strip mill were carried out for three different types of coils. They proved the feasibility of the systems developed here for scale breaker entry temperature prediction. Comparison with type-1 fuzzy logic systems shows that the hybrid learning interval type-2 fuzzy logic systems improve performance in scale breaker entry temperature prediction under the tested condition.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 23-32
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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