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Flintstones: A Fuzzy Linguistic Decision Tools Enhancement Suite

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The 2-tuple Linguistic Model

Abstract

Previous chapters have introduced distinct linguistic modelling approaches to different computational tools passing by several decision models for solving linguistic decision-making processes defined in different frameworks and real-world situations. However, in contrast with other decision-making models there is not much software to support and help decision makers and managers in the resolution of the decision processes in linguistic decision making. This chapter shows a fuzzy linguistic decision tool enhancement suite, called Flintstones, that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model, following the Computing with Words paradigm. Such a suite is licensed under the terms of the GNU General Public License and all readers can download and extend it for their own needs. It is also remarkable that together with this suite a website has been developed that contains all the datasets of the examples used in this book except the one presented in Chapter 6 Additionally, there are some more case studies with datasets that can be used by researchers to compare their proposals with the previous ones for different linguistic decision problems.

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Notes

  1. 1.

    http://sinbad2.ujaen.es/flintstones/.

  2. 2.

    http://www.eclipse.org/home/categories/rcp.php.

  3. 3.

    http://sinbad2.ujaen.es/flintstones/.

  4. 4.

    http://www.gnu.org.

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Acknowledgements

The authors want to highlight and thank Francisco J. Estrella and Macarena Espinilla for their hard work and cooperation in developing Flintstones.

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© 2015 Springer International Publishing Switzerland

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Martínez, L., Rodriguez, R.M., Herrera, F. (2015). Flintstones: A Fuzzy Linguistic Decision Tools Enhancement Suite. In: The 2-tuple Linguistic Model. Springer, Cham. https://doi.org/10.1007/978-3-319-24714-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-24714-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24712-0

  • Online ISBN: 978-3-319-24714-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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