Abstract
As one of the most important factors that interfere in peoples life, the soil is characterized by quantitative and qualitative features which describe not only the soil itself, but also the environment, the weather and the vegetation around it. Different types of soil can be identified by means of these features. A good soil classification is very important to get a better use of the soil. Soil classification, when performed manually by experts, is not a simple task, as long as the experts opinions may vary considerably. Besides, different types of soil cannot be defined deterministically. With the objective of exploring an alternative approach towards solving this problem, we investigated in this paper the application of an automatic procedure to generate a soil classifier from data, using a fuzzy decision tree induction algorithm. In order to compare the results obtained by means of the fuzzy decision tree classifier, we used two well known methods for classifiers generation: the classic decision tree induction algorithm C4.5 and the fuzzy rules induction algorithm named FURIA.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Santos, H.e.a.: Brazilian System of Soil Classification. Embrapa Solos, Rio de Janeiro, RJ, Brazil (2013) (in portuguese).
Cintra, M.E., Monard, M.C., Camargo, H.A.: A Fuzzy Decision Tree Algorithm Based on C4.5. Mathware & Soft Computing 20, 56–62 (2013)
Chang, R.L.P., Pavlidis, T.: Fuzzy decision tree algorithms. IEEE Transactions on Systems Man and Cybernetics 7, 28–35 (1977)
Janikow, C.Z.: Fid4.1: an overview. In: Proceedings of NAFIPS 2004, pp. 877–881 (2004)
Kazunor, U., Motohide, S.: Fuzzy C4.5 for generating fuzzy decision trees and its improvement. Faji Shisutemu Shinpojiumu Koen Ronbunshu 15, 515–518 (2001) (in Japanese)
Olaru, C., Wehenkel, L.: A complete fuzzy decision tree technique. Fuzzy Sets and Systems 138(2), 221–254 (2003)
Tokumaru, M., Muranaka, N.: Kansei impression analysis using fuzzy c4.5 decision tree. In: International Conference on Kansei Engineering and Emotion Research (2010)
Cintra, M.E., Meira, C.A.A., Monard, M.C., Camargo, H.A., Rodrigues, L.H.A.: The use of fuzzy decision trees for coffee rust warning in Brazilian crop. In: 11th International Conference on Intelligent Systems Design and Applications, vol. 1, pp. 1347–1352 (2011)
Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers Inc., San Francisco (1993)
Huhn, J., Hullermeier, E.: Furia: An algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery (2009)
Oliveira, J.B.: Soil classification and its agricultural and nonagricultural use (2013) (in Portuguese), http://jararaca.ufsm.br/websites/dalmolin/download/textospl/classif.pdf (accessed in December 30, 2013)
Almeida, J.: Brief History of the Subtropical Bruno Soils in Brazil. VIII RCC Brazilian Meeting of Soil Correlation and Classification. Embrapa Solos (2008) (in Portuguese)
Cohen, W.W.: Fast effective rule induction. In: Proceedings of the Twelfth International Conference on Machine Learning, pp. 115–123. Morgan Kaufmann (1995)
Furnkranz, J., Widmer, G.: Incremental Reduced Error Pruning. In: Proceedings of the 11th International Conference on Machine Learning (ML 1994), pp. 70–77. Morgan Kaufmann, New Brunswick (1994)
Furnkranz, J.: Separate-and-conquer rule learning. Artificial Intelligence Review 13(1), 3–54 (1999)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA Data Mining Software: An Update. SIGKDD Explorations 11(1) (2009)
Cordón, O., del Jesús, M.J., Herrera, F.: A proposal on reasoning methods in fuzzy rule-based classification systems. Int. J. Approx. Reasoning 20(1), 21–45 (1999)
Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)
Shannon, C.: A mathematical theory of communication. Bell System Technical Journal 27 (1948)
Martinez, C.V.O., Souza, V.F.: Importance of the soils classification in the Brazilian system and the ability of land use of rural properties for their sustainable management. In: International Meeting of Cientific Production Cesumar (2009) (in Portuguese)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Ribeiro, M.V., Cunha, L.M.S., Camargo, H.A., Rodrigues, L.H.A. (2014). Applying a Fuzzy Decision Tree Approach to Soil Classification. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-319-08795-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-08795-5_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08794-8
Online ISBN: 978-3-319-08795-5
eBook Packages: Computer ScienceComputer Science (R0)