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Midgar: Moving Fuzzy Logic Closer to the Internet of Things

Autor(es) y otros:
González García, CristianAutoridad Uniovi; García Díaz, VicenteAutoridad Uniovi
Palabra(s) clave:

IoT

Fuzzy Logic

Fecha de publicación:
2019
Citación:
García, C. G. y García-Díaz, V. (2019). Midgar: Moving Fuzzy Logic Closer to the Internet of Things. Proceedings of National Conference on Machine Learning, March (pp. 1-6)
Descripción física:
p. 1-6
Resumen:

The Internet of Things is our present and the future. The IoT allows us to connect almost any object to automate tasks or to create a smarter object. However, to create a Smarter Object we must rely on Artificial Intelligence. For instance, to create a system to take decisions we can use Fuzzy Logic in order to have more than one possible value against Boolean logic and a possible customisation for each user based on the different linguistic rules than can variate according to people. However, this task is not trivial because not all people have knowledge about programming or about Fuzzy Logic. This is why in this paper the authors propose a possible solution to this problem. This is a Domain-Specific Language to abstract the important and necessary part of a Fuzzy Logic module to allow end-users to programme in an easy and quick way.

The Internet of Things is our present and the future. The IoT allows us to connect almost any object to automate tasks or to create a smarter object. However, to create a Smarter Object we must rely on Artificial Intelligence. For instance, to create a system to take decisions we can use Fuzzy Logic in order to have more than one possible value against Boolean logic and a possible customisation for each user based on the different linguistic rules than can variate according to people. However, this task is not trivial because not all people have knowledge about programming or about Fuzzy Logic. This is why in this paper the authors propose a possible solution to this problem. This is a Domain-Specific Language to abstract the important and necessary part of a Fuzzy Logic module to allow end-users to programme in an easy and quick way.

Descripción:

National Conference on Machine Learning. NCML (2019. Mumbai)

URI:
https://hdl.handle.net/10651/77976
ISBN:
9789353515218
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