A Multi-Agent System for Building Control
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Higher order models for fuzzy random variables
Fuzzy Sets and Systems
International Journal of Approximate Reasoning
A fuzzy logic based efficient energy saving approach for domestic heating systems
Integrated Computer-Aided Engineering
Genetic learning of fuzzy rules based on low quality data
Fuzzy Sets and Systems
Taximeter verification with GPS and soft computing techniques
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems
IEEE Transactions on Fuzzy Systems
An study of the tree generation algorithms in equation based model learning with low quality data
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
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Energy efficiency represents one of the main challenges in the engineering field, i.e., by means of decreasing the energy consumption due to a better design minimising the energy losses This is particularly true in real world processes in the industry or in business, where the elements involved generate data full of noise and biases In other fields as lighting control systems, the emergence of new technologies, as the Ambient Intelligence can be, degrades the quality data introducing linguistic values The presence of low quality data in Lighting Control Systems is introduced through an experimentation step, in order to realise the improvement in energy efficiency that its of managing could afford In this contribution we propose, as a future work, the use of the novel genetic fuzzy system approach to obtain classifiers and models able to deal with the above mentioned problems.