A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications

Daniele De Martini, Gianluca Roveda, Alessandro Bertini, Agnese Marchini, Tullio Facchinetti

2017

Abstract

Fuzzy logic is a powerful modelling approach to build control applications and to generate knowledge-based evaluation indices. In both cases, however, the applicability to complex systems is limited by the effort required to formulate the rules, whose number grows rapidly with the number of input variables and membership functions. This work presents a framework that implements the F-IND fuzzy model to simplify the formulation of fuzzy indices, where the rules are automatically generated on the basis of the specification of best and worst cases on the membership functions of each input variable. The paper discusses the method and presents the organization of the framework that allows automatic code generation, targeting the efficient execution of the calculations on an embedded system. The framework has been tested and validated on real hardware.

Paper Citation

in Harvard Style

De Martini D., Roveda G., Bertini A., Marchini A. and Facchinetti T. (2017). A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications.In Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-274-5, pages 281-288. DOI: 10.5220/0006501802810288

in Bibtex Style

@conference{ijcci17,
author={Daniele De Martini and Gianluca Roveda and Alessandro Bertini and Agnese Marchini and Tullio Facchinetti},
title={A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2017},
pages={281-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006501802810288},
isbn={978-989-758-274-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications
SN - 978-989-758-274-5
AU - De Martini D.
AU - Roveda G.
AU - Bertini A.
AU - Marchini A.
AU - Facchinetti T.
PY - 2017
SP - 281
EP - 288
DO - 10.5220/0006501802810288