Environmental Evaluation Models Based on Soft Data

This paper develops rule-based models of environmental evaluation based on a questionnaire survey to residents. Meaingful rules are obtained by utilizing the SC-Optimality algorithm that is one of methods of rule extraction in data mining. Rules reflect attiributes of each region or depend on the co...

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Published inTransactions of the Institute of Systems, Control and Information Engineers Vol. 15; no. 12; pp. 652 - 662
Main Authors KAWANO, Sayoko, HUYNH, Van Nam, RYOKE, Mina, NAKAMORI, Yoshiteru
Format Journal Article
LanguageJapanese
Published THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE) 15.12.2002
Subjects
data analysis
data mining
environmental evaluation
optimal rules
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Summary:This paper develops rule-based models of environmental evaluation based on a questionnaire survey to residents. Meaingful rules are obtained by utilizing the SC-Optimality algorithm that is one of methods of rule extraction in data mining. Rules reflect attiributes of each region or depend on the context. These results are more meaningful than those by existing researches and other methods.
ISSN:1342-5668
2185-811X
DOI:10.5687/iscie.15.652