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Fuzzy Deformable Prototypes and Forest Fires Prediction and Prevention

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Enric Trillas: A Passion for Fuzzy Sets

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 322))

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Abstract

In this work, a short introduction and definition of Fuzzy Deformable Prototypes, introduced by the author in 2000, is presented. Then, the first application of this model, a system for prediction and prevention of Forest Fires, is briefly described, trying to show its main characteristics and how the Fuzzy Deformable Prototypes can improve the results of such system. This work was carried out in the period of closest work of the author with Prof. Trillas.

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References

  1. Olivas, J.A.: A contribution to the experimental study of prediction based on fuzzy deformable categories. Ph.D. Thesis, University of Castilla-La Mancha (2000)

    Google Scholar 

  2. Bremermann, H.: Pattern Recognition. H. Bossel: Systems Theory in the Social Sciences, pp. 116–159, Birkhäuser Verlag (1976)

    Google Scholar 

  3. Zadeh, L.A.: A note on prototype set theory and fuzzy sets. Cognition 12, 291–297 (1982)

    Article  Google Scholar 

  4. Osheron, D.N., Smith, E.E.: On the adequacy of prototype theory of concepts. Cognition 9, 35–58 (1981)

    Article  Google Scholar 

  5. Genero, M., Olivas, J.A., Piattini, M., Romero, F.P.: Using metrics to predict OO information systems maintainability. In: Dittrich, K.R., Geppert, A., Norrie, M.C. (eds.) Advanced Information Systems Engineering CAISE2001. LNCS, vol. 2068, pp. 388–401. Springer (2001)

    Google Scholar 

  6. Peralta, A., Romero, F.P., Olivas, J.A., Polo, M.: Knowledge extraction of the behaviour of software developers by the analysis of time recording logs. In: Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’10) (2010)

    Google Scholar 

  7. Angulo, E., Romero, F.P., García, R., Serrano-Guerrero, J., Olivas, J.A.: An adaptive approach to enhanced traffic signal optimization by using soft-computing techniques. Expert Syst. Appl. 38(3), 2235–2247 (2011)

    Article  Google Scholar 

  8. Romero, F.P., Caballero, I., Serrano-Guerrero, J., Olivas, J.A.: An approach to web-based personal health records filtering using fuzzy prototypes and data quality criteria. Inf. Process. Manag. 48(3), 451–466 (2012)

    Article  Google Scholar 

  9. Sobrino, A., Puente, C., Olivas, J.A.: Extracting answers from causal mechanisms in a medical document. Neurocomputing 135, 53–60 (2014)

    Article  Google Scholar 

  10. Garcés, P., Olivas, J.A., Romero, F.P.: Concept-matching IR systems versus word-matching IR systems: considering fuzzy interrelations for indexing web pages. J. Am. Soc. Inf. Sci. Technol. JASIST 57(4), 564–576 (2006)

    Article  Google Scholar 

  11. Olivas, J.A.: Forest fire prediction and management using soft computing. In: Proceedings of the 1st IEEE-INDIN’03, IEEE International Conference on Industrial Informatics. pp. 338–344 (2003)

    Google Scholar 

  12. Olivas, J.A., Sobrino, A.: An application of Zadeh’s prototype theory to the prediction of forest fire in a knowledge-based system. In: Proceedings of the 5th International IPMU, vol. II, pp. 747–752 (1994)

    Google Scholar 

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Correspondence to José A. Olivas .

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Olivas, J.A. (2015). Fuzzy Deformable Prototypes and Forest Fires Prediction and Prevention. In: Magdalena, L., Verdegay, J., Esteva, F. (eds) Enric Trillas: A Passion for Fuzzy Sets. Studies in Fuzziness and Soft Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-16235-5_25

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  • DOI: https://doi.org/10.1007/978-3-319-16235-5_25

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  • Print ISBN: 978-3-319-16234-8

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