An information system is generated and Domlem algorithm is applied for extraction a minimal set of rules.The algorithm builds two text files (outputTxt=name): the first with isf extension for more deep analysis with non geographic software like 4emka and JAMM ; the second file with rls extension hold all the set of rules generate. An output map (outputMap=string)is generated for region classification with the rules finded and the criteria stored in GRASS geodb.
The module can work very slowly with high number of criteria and sample. For bug please contact Gianluca Massei (firstname.lastname@example.org)
Greco S., Matarazzo B., Slowinski R.: Rough sets theory for multicriteria decision analysis. European Journal of Operational Research, 129, 1 (2001) 1-47.
Greco S., Matarazzo B., Slowinski R.: Multicriteria classification by dominance-based rough set approach. In: W.Kloesgen and J.Zytkow (eds.), Handbook of Data Mining and Knowledge Discovery, Oxford University Press, New York, 2002.
Greco S., Matarazzo B., Slowinski, R., Stefanowski, J.: An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle. In W. Ziarko, Y. Yao (eds.): Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence 2005 (2001) 304 - 313. Springer-Verlag
Greco, S., B. Matarazzo, R. Slowinski and J. Stefanowski: Variable consistency model of dominance-based rough set approach. In W.Ziarko, Y.Yao (eds.): Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence 2005 (2001) 170 - 181. Springer-Verlag
http://en.wikipedia.org/wiki/Dominance-based_rough_set_approach - “Dominance-based rough set approach”
http://idss.cs.put.poznan.pl/site/software.html - Software from Laboratory of intelligent decision support system in Poznam University of Technology
r.mcda.fuzzy, r.mcda.electre, r.mcda.regime, r.to.drsa, r.in.drsa
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