02174nam a2200277 a 450000100080000000500110000800800410001902000220006010000190008224500910010126001770019230000220036949000630039150001000045452011110055465000160166565000240168165000280170565300240173365300180175765300390177565300190181470000200183370000190185370000240187219912622020-01-08       2014    bl uuuu     u00u1 u    #d  a978-3-319-08794-81 aRIBEIRO, M. V.  aApplying a fuzzy decision tree approach to soil classification.h[electronic resource]  aIn: INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, 15., 2014, Montpellier. Proceedings... Cham: Springerc2014  ap. 87-96. Part I.  a(Communications in computer and information science, 442).  aEditores: Anne Laurent Olivier Strauss, Bernadette Bouchon-Meunier, Ronald R. Yager. IPMU 2014.  aAbstract. 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.  aFuzzy logic  aSoil classification  aClassificação do solo  aÁrvore de decisão  aDecision tree  aSistema de classificação do solo  aSistemas fuzzy1 aCUNHA, L. M. S.1 aCAMARGO, H. A.1 aRODRIGUES, L. H. A.