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Autor:
José Antonio Sanz, Tiago da Cruz Asmus, Humberto Bustince, Benjamin Bedregal, Graçaliz Pereira Dimuro, Javier Fernández
Publikováno v:
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
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Overlap functions are a type of aggregation functions that are not required to be associative, generally used to indicate the overlapping degree between two values. They have been successfully used as a conjunction operator in several practical probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c7e43fa44a6ecf15fc9707561473e84
https://hdl.handle.net/2454/42493
https://hdl.handle.net/2454/42493
Autor:
Pinar Cihan
Publikováno v:
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
The Covid-19 outbreak appeared in Wuhan in December 2019 and spread rapidly all over the world. The Covid-19 disease does not yet have a clinically proven vaccine and drug for treatment. The most important physical factors in reducing the spread of t
Publikováno v:
SNAMS
Machine learning has arisen with advanced data analytics. Many factors influence crop yield, such as soil, amount of water, climate, and genotype. Determining factors that significantly influence yield prediction and identify the most appropriate pre
Publikováno v:
2019 IEEE 3rd International Electrical and Energy Conference (CIEEC).
An equivalent single input-fuzzy PI(ESIF-PI) converter with superior dynamic performance is designed for buck DC-DC converter in this paper, which is verified by simulation and FPGA test. Firstly, the stable boundary of PI parameters is tuned by Juli
Autor:
Humberto Bustince, José Antonio Sanz, Graçaliz Pereira Dimuro, Giancarlo Lucca, Benjamin Bedregal, Javier Fernández
Publikováno v:
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Universidad Pública de Navarra
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
A key component of fuzzy rule-based classification systems (FRBCS) is the fuzzy reasoning method (FRM) since it infers the class predicted for new examples. A crucial stage in any FRM is the way in which the information given by the fired rules durin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c6b79558cf6ac3c440f8d595e5bd9ea
https://hdl.handle.net/2454/33499
https://hdl.handle.net/2454/33499
Publikováno v:
2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
In this paper, the probability of the estimated load parameters accuracy is evaluated using condition number and fuzzy rule base. The voltage and power measured in the field are buffered to form data vector and the exponential dependence of load para
Publikováno v:
2017 IEEE International Conference on Mechatronics and Automation (ICMA).
This paper describes a special type of fuzzy models with incomplete grid-type fuzzy rule base in the multidimensional input space. The number and locations of the fuzzy rules are automatically defined by the concrete distribution of the training data
Publikováno v:
FUZZ-IEEE
In this paper, ad hoc and system identification methods are used to generate fuzzy If-Then rules for a zero-order Takagi-Sugeno-Kang (TSK) Fuzzy Inference System (FIS) using a set of multi-attribute monotone data. Convex and normal trapezoidal fuzzy
Publikováno v:
2017 36th Chinese Control Conference (CCC).
Indoor localization technology based on the received signal strength (RSS) of wireless access point (AP) has become very popular in recent years. Considering that the Wi-Fi signal is unstable and uncertain, and the contribution of different APs to th
Publikováno v:
2017 36th Chinese Control Conference (CCC).
Data-driven fault diagnosis, known to be simple and convenient, is more suitable for diagnosing the complicated systems of satellite. Nevertheless, there are two main bottlenecks of data-driven fault diagnosis methods: rule acquisition and decision m