Feature selection using fuzzy objective functions

S.M. Vieira, J.M. Costa Sousa, da, U. Kaymak

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

One of the most important stages in data preprocessing for data mining is feature selection. Real-world data analysis, data mining, classification and modeling problems usually involve a large number of candidate inputs or features. Less relevant or highly correlated features decrease, in general, the classification accuracy, and enlarge the complexity of the classifier. Feature selection is a multicriteria optimization problem, with contradictory objectives, which are difficult to properly describe by conventional cost functions. The use of fuzzy decision making may improve the performance of this type of systems, since it allows an easier and transparent description of the different criteria used in the feature selection process. In previous work an ant colony optimization algorithm for feature selection was presented, which minimizes two objectives: number of features and classification error. Two pheromone matrices and two different heuristics are used for each objective. In this paper, a fuzzy objective function is proposed to cope with the difficulty of weighting the different criteria involved in the optimization algorithm.
Original languageEnglish
Title of host publicationProceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009
EditorsD. Dubois, U. Kaymak, J.M.C. Sousa, J.P. Carvalho
Place of PublicationLisbon
PublisherEusflat
Pages1673-1678
ISBN (Print)978-989-95079-6-8
Publication statusPublished - 2009
EventJoint 13th International Fuzzy Systems Association World Congress and 6th European Society of Fuzzy Logic and Technology Conference (IFSA-EUSFLAT 2009), July 20-24, 2009, Lisbon, Portugal - Lisbon, Portugal
Duration: 20 Jul 200924 Jul 2009

Conference

ConferenceJoint 13th International Fuzzy Systems Association World Congress and 6th European Society of Fuzzy Logic and Technology Conference (IFSA-EUSFLAT 2009), July 20-24, 2009, Lisbon, Portugal
Abbreviated titleIFSA-EUSFLAT 2009
Country/TerritoryPortugal
CityLisbon
Period20/07/0924/07/09

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