A Hybrid Fuzzy Maintained Classification Method Based on Dendritic Cells

Zaineb Chelly Dagdia () and Zied Elouedi ()
Additional contact information
Zaineb Chelly Dagdia: Aberystwyth University
Zied Elouedi: Institut Supérieur de Gestion de Tunis

Journal of Classification, 2020, vol. 37, issue 1, No 3, 18-41

Abstract: Abstract The dendritic cell algorithm (DCA) is a classification algorithm based on the behavior of natural dendritic cells (DCs). In literature, DCA has given good classification results. However, DCA was known to be sensitive to the order of the instance classes. To solve this limitation, a fuzzy DCA version was developed stating that the cause of such sensitivity is related to the DCA crisp classification task (hypothesis 1). In this paper, we hypothesize that there is a second possible cause of such DCA sensitivity which is related to the possible existence of noisy instances presented in the DCA signal data set (hypothesis 2). Thus, we aim, first of all, to test the trueness of the latter hypothesis, and second, we aim to develop an overall hybrid DCA taking both hypotheses into consideration. Based on hypothesis 1, our new DCA focuses on smoothing the crisp classification task using fuzzy set theory. Based on hypothesis 2, a data set cleaning technique is used to guarantee the quality of the DCA signal data set. Results show that our proposed hybrid fuzzy maintained algorithm succeeds in obtaining results of interest.

Keywords: Evolutionary computing; Fuzzy set theory; Maintenance; Classification (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00357-018-9293-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jclass:v:37:y:2020:i:1:d:10.1007_s00357-018-9293-7

Ordering information: This journal article can be ordered from
http://www.springer. ... hods/journal/357/PS2

DOI: 10.1007/s00357-018-9293-7

Access Statistics for this article

Journal of Classification is currently edited by Douglas Steinley

More articles in Journal of Classification from Springer, The Classification Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().