DocumentCode :
2313832
Title :
A Comprehensible Approach to Develop Fuzzy Decision Trees
Author :
Suma, Jaya G. ; Shashi, M. ; Devi, Lavanya G.
Author_Institution :
Dept of Comput. Sci. & Eng., Gitam Univ., Visakhapatnam
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
601
Lastpage :
605
Abstract :
With the immense increase of the data in various fields, interpreting the data into useful information has become a tedious job. Design of models to handle the problem is essential. This paper discusses the methods that handle uncertain information with continuous data and deliver comprehensible classification model. We investigate fuzzy decision tree as a method for classification problems and axiomatic fuzzy set for building fuzzy sets (membership functions) . To select the best available test attributes of fuzzy decision trees we use a generalized Shannon Entropy. The problems connected with this generalization arised from fuzzy domain are discussed and some alternatives are proposed.
Keywords :
data handling; decision trees; fuzzy set theory; pattern classification; axiomatic fuzzy set; classification problems; fuzzy decision trees; generalized Shannon entropy; membership functions; uncertain continuous data handling; Classification tree analysis; Computer science; Data engineering; Decision trees; Entropy; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Shape; Testing; Axiomatic fuzzy sets; Continuous Data; Fuzzy Decision Tree; Shannon Entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
Conference_Location :
Nagpur, Maharashtra
Print_ISBN :
978-0-7695-3267-7
Electronic_ISBN :
978-0-7695-3267-7
Type :
conf
DOI :
10.1109/ICETET.2008.173
Filename :
4579971
Link To Document :
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