Open access peer-reviewed chapter

Improving Interpretability of Fuzzy Models Using Multi-Objective Neuro-Evolutionary Algorithms

By Gracia Sánchez Carpena, José Francisco Sánchez Ruiz, José Manuel Alcaraz Muñoz and Fernando Jiménez

Published: November 1st 2008

DOI: 10.5772/6124

Downloaded: 2046

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Gracia Sánchez Carpena, José Francisco Sánchez Ruiz, José Manuel Alcaraz Muñoz and Fernando Jiménez (November 1st 2008). Improving Interpretability of Fuzzy Models Using Multi-Objective Neuro-Evolutionary Algorithms, Advances in Evolutionary Algorithms, Witold Kosinski, IntechOpen, DOI: 10.5772/6124. Available from:

chapter statistics

2046total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Multi-objective Uniform-diversity Genetic Algorithm (MUGA)

By Ali Jamali, Nader Nariman-zadeh and Kazem Atashkari

Related Book

First chapter

Traveling Salesman Problem: an Overview of Applications, Formulations, and Solution Approaches

By Rajesh Matai, Surya Singh and Murari Lal Mittal

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More about us