On the use of Heronian means in a similarity classifier

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Kurama O.

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Journal: Iranian Journal of Fuzzy Systems Year:2020 | Volume:17 | Issue:5 Page(s): 137-146

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Information Journal Paper

Title

On the use of Heronian means in a similarity classifier

Author(s)

Kurama O. | Issue Writer Certificate

Keywords

Similarity classifierQ2

Heronian meanQ2

aggregationQ2

classificationQ2

Abstract

This paper introduces new Similarity classifier using the Heronian mean, and the generalized Heronian mean operators. We examine the use of these operators at the aggregation step within the Similarity classifier. The Similarity classifier was earlier studied with other operators, in particular with an arithmetic mean, generalized mean, OWA operators, and many more. The two classifier here are tested on four real world data sets, i. e., echocardiogram, fertility, horse-colic, and lung cancer. Three previously studied Similarity classifier are used as benchmarks to the new approaches. We observe that the Similarity classifier with a generalized Heronian mean produces good classification results for the tested data sets, and is therefore more suitable for use in these classification problems.

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APA: Copy

Kurama, O.. (2020). On the use of Heronian means in a similarity classifier. IRANIAN JOURNAL OF FUZZY SYSTEMS, 17(5 ), 137-146. SID. https://sid.ir/paper/369321/en

Vancouver: Copy

Kurama O.. On the use of Heronian means in a similarity classifier. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2020;17(5 ):137-146. Available from: https://sid.ir/paper/369321/en

IEEE: Copy

O. Kurama, “On the use of Heronian means in a similarity classifier,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 17, no. 5 , pp. 137–146, 2020, [Online]. Available: https://sid.ir/paper/369321/en

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