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The Exposition of Fuzzy Decision Trees and their Application in Biology

Beynon, Malcolm James and Park, K. 2008. The Exposition of Fuzzy Decision Trees and their Application in Biology. In: Porto Pazos, Ana B., Pazos Sierra, Alejandro and Buño Buceta, Washington eds. Advancing Artificial Intelligence Through Biological Process Applications, Hershey, PA: IGI Global, pp. 375-394. (10.4018/978-1-59904-996-0.ch020)

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Abstract

This chapter employs the fuzzy decision tree classification technique in a series of biological based application problems. With its employment in a fuzzy environment, the results, in the form of fuzzy ‘if .. then ..’ decision rules, bring with them readability and subsequent interpretability. The two contrasting applications considered concern, the age of abalones and the lengths of torpor bouts of hibernating Greater Horseshoe bats. Emphasis is on the visual results presented, including the series of membership functions used to construct the linguistic variables representing the considered attributes and the final fuzzy decision trees constructed. Technical details presented further offer the opportunity to readers to future employ the technique in other biological applications.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > HF Commerce > HF5601 Accounting
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QH Natural history > QH301 Biology
Publisher: IGI Global
ISBN: 9781599049960
Related URLs:
Last Modified: 04 Jun 2017 03:44
URI: http://orca-mwe.cf.ac.uk/id/eprint/25587

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