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

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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 difficulty of defining the fuzzy rules and membership functions. This paper presents a framework for the automatic generation of fuzzy evaluation systems for embedded applications. The framework is based on the F-IND (Fuzzy INDices) methodology, which allows the automatic generation of fuzzy rules and membership functions from data. The framework provides a configuration-based approach that simplifies the development of fuzzy evaluation systems and makes them suitable for embedded applications with limited computational resources. The effectiveness of the proposed framework is demonstrated through a case study in environmental monitoring.

Paper: https://www.scitepress.org/Papers/2017/65018/65018.pdf

Bibtex

@inproceedings{DeMartini2017Framework,
  author = {De Martini, Daniele and Roveda, Gianluca and Bertini, Alessandro and Marchini, Agnese and Facchinetti, Tullio},
  title = {A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications},
  booktitle = {Proceedings of the 9th International Joint Conference on Computational Intelligence},
  year = {2017},
  pages = {281--288},
  publisher = {SCITEPRESS},
  address = {Funchal, Madeira, Portugal},
  isbn = {978-989-758-274-5},
  doi = {10.5220/0006501802810288},
  month = {November}
}