<abstract xmlns="http://www.w3.org/1999/xhtml"> This paper intends to present the differences appearing between the pervasive systems and other usual systems regarding the tuning of the fuzzy controllers. For the pervasive systems used in the intelligent buildings, the emphasize is on the building’s occupant and the used equipment is to be engineered so that the occupant will be as less perturbed by its presence or settings. For the fuzzy controllers used in non-pervasive systems - although the occupants are not working with physical quantities, but with language described variables, the definition of the inputs’ and outputs’ domain values can be modified only by reprogramming. The result generated by the research work that lays at the basis of the present paper is the tuning of the fuzzy controllers used in pervasive systems. The occupants role is to describe the sensation they have in the very moment, the sensation they would like to have, and the fuzzy controllers’ inputs and outputs will be automatically modified based on different parameters regarding the occupants, for example the clothes worn. The tuning of the fuzzy controllers for the pervasive systems has not been treated before, the authors intending to make a detailed and deep research in this field.</abstract>

This paper intends to present the differences appearing between the pervasive systems and other usual systems regarding the tuning of the fuzzy controllers. For the pervasive systems used in the intelligent buildings, the emphasize is on the building’s occupant and the used equipment is to be engineered so that the occupant will be as less perturbed by its presence or settings. For the fuzzy controllers used in non-pervasive systems - although the occupants are not working with physical quantities, but with language described variables, the definition of the inputs’ and outputs’ domain values can be modified only by reprogramming. The result generated by the research work that lays at the basis of the present paper is the tuning of the fuzzy controllers used in pervasive systems. The occupants role is to describe the sensation they have in the very moment, the sensation they would like to have, and the fuzzy controllers’ inputs and outputs will be automatically modified based on different parameters regarding the occupants, for example the clothes worn. The tuning of the fuzzy controllers for the pervasive systems has not been treated before, the authors intending to make a detailed and deep research in this field.

The Tuning of the Fuzzy Controllers Used in the Pervasive Systems

Technical University of Civil Engineering, Faculty of Building Services

Modelling in Civil Environmental Engineering

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

{"article-title":"The Tuning of the Fuzzy Controllers Used in the Pervasive Systems"}

This paper intends to present the differences appearing between the pervasive systems and other usual systems regarding the tuning of the fuzzy controllers....

The Tuning of the Fuzzy Controllers Used in the Pervasive Systems

Published Online: Jul 10, 2014

Page range: 11 - 16

DOI: https://doi.org/10.2478/mmce-2014-0007

Keywords
artificial intelligence, comfort, fuzzy logic, predicted mean vote

© by Magdalena Culcea

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

The Tuning of the Fuzzy Controllers Used in the Pervasive Systems

Published Online: Jul 10, 2014

Page range: 11 - 16

DOI: https://doi.org/10.2478/mmce-2014-0007

Keywordsartificial intelligence, comfort, fuzzy logic, predicted mean vote

© by Magdalena Culcea

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords
artificial intelligence, comfort, fuzzy logic, predicted mean vote