Szczegóły publikacji
Opis bibliograficzny
Identification of atypical elements by transforming task to supervised form with fuzzy and intuitionistic fuzzy evaluations / Piotr KULCZYCKI, Damian Kruszewski // Applied Soft Computing ; ISSN 1568-4946. — 2017 — vol. 60, s. 623–633. — Bibliogr. s. 632–633, Abstr. — Publikacja dostępna online od: 2017-06-23. — P. Kulczycki - pierwsza afiliacja: Polish Academy of Sciences
Autorzy (2)
- AGHKulczycki Piotr
- Kruszewski Damian
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 118831 |
|---|---|
| Data dodania do BaDAP | 2019-03-22 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.asoc.2017.06.024 |
| Rok publikacji | 2017 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Applied Soft Computing |
Abstract
The subject of this paper is a procedure for the identification (detection, discovery) of atypical elements, understood in the sense that they occur rarely. A result of the procedure is the generation of a rating as to whether an examined observation should be classed as atypical, given in classic two-values form (deterministic, sharp), as well as fuzzy or intuitionistic fuzzy. Moreover, the task of identifying atypical elements, unsupervised in its basic formula, can - as a result of the procedure - be brought to a supervised form, which allows well-developed diverse methods of supervised classification to be used. The investigated method is independent of distribution existing in a population and enables the detection of atypical elements not only occurring in the tails, but also - e.g. for multimodal distributions with more distant factors - potentially located inside. The procedure is presented in ready-to-use form and does not require laborious research or literary study. The correctness of its functioning has been examined in practical medical problems. (C) 2017 Elsevier B.V. All rights reserved.
