PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

 

e-ISSN 2231-8526
ISSN 0128-7680

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Fuzzy Lambda-Max Criteria Weight Determination for Feature Selection in Clustering

Nurul Adzlyana Mohd Saadon, Rosma Mohd Dom and Nurazzah Abd Rahman

Pertanika Journal of Science & Technology, Volume 25, Issue S, March 2017

Keywords: Clustering, criteria weight determination, feature selection, Fuzzy Lambda-Max

Published on: 05 Dec 2017

Clustering refers to reducing selected features involved in determining the clusters. Raw data might come with a lot of features, including unimportant ones. A hybrid similarity measure (discovered in 2014) used in selecting features can be improvised as it might select all the attributes, including insignificant ones. This paper suggests Fuzzy Lambda-Max to be used as a feature selection method since Lambda-Max is normally used in ranking of alternatives. A set of AIDS data is used to measure the performance. Results show that Fuzzy Lambda-Max has the ability to determine criteria weights and ranking the criteria. Hence, feature selection can be done by choosing only the important criteria.

ISSN 0128-7680

e-ISSN 2231-8526

Article ID

JST-S0175-2016

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