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Artificial Intelligence Applications and Innovations 12th INNS EANN-SIG International Conference,EANN2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011 Corfu, Greece, September 15-18, 2011, Part II |
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Conference papers
A Generalized Fuzzy-Rough Set Application for Forest Fire Risk Estimation Feature Reduction
Abstract : This paper aims in the reduction of data attributes of a fuzzy-set based system for the estimation of forest fire risk in Greece, with the use of rough-set theory. The aim is to get as good results as possible with the use of the minimum amount of data attributes possible. Data manipulation for this project is done in MS-Access. The resulting data table is inserted into Matlab in order to be fuzzified. The final result of this clustering is inserted into Rossetta, which is a Rough set exploration software, in order to estimate the reducts. The risk estimation is recalculated with the use of the reduct set in order to measure the accuracy of the final minimum attribute set. Nine forest fire risk factors were taken into consideration for the purpose of this paper and the Greek terrain was separated into smaller areas, each concerning a different Greek forest department.
Cited literature [12 references]
https://hal.inria.fr/hal-01571458
Contributor : Hal Ifip <>
Submitted on : Wednesday, August 2, 2017 - 4:22:05 PM
Last modification on : Thursday, March 5, 2020 - 5:42:29 PM
Contributor : Hal Ifip <>
Submitted on : Wednesday, August 2, 2017 - 4:22:05 PM
Last modification on : Thursday, March 5, 2020 - 5:42:29 PM
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