Application of uninorms to aggregate uncertainty from many classifiers

• Autorzy: Drygaś Paweł , Bazan Jan G. , Pusz Piotr , Knap Maksymilian

Identyfikatory

DOI

10.14313/JAMRIS/4‐2019/41

• Języki publikacji: EN

Abstrakty

EN

In this contribution we want to present the concept of uncertainty area of classifiers and an algorithm that uses uninorms to minimize the area of uncertainty in the pre‐ diction of new objects by complex classifiers.

Słowa kluczowe

EN

aggregation function; decision making; classifier; uncertainty area

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2019
• Tom: Vol. 13, No. 4
• Strony: 85--90
• Opis fizyczny: Bibliogr. 29 poz., rys.

Twórcy

autor

Drygaś Paweł

• University of Rzeszów, College of Natural Sciences, Institute of Information Technology, ul. Pigonia 1, 35‑310 Rzeszów, Poland

autor

Bazan Jan G.

• University of Rzeszów, College of Natural Sciences, Institute of Information Technology, ul. Pigonia 1, 35‑310 Rzeszów, Poland

autor

Pusz Piotr

• University of Rzeszów, College of Natural Sciences, Institute of Information Technology, ul. Pigonia 1, 35‑310 Rzeszów, Poland

autor

Knap Maksymilian

• University of Rzeszów, College of Natural Sciences, Institute of Information Technology, ul. Pigonia 1, 35‑310 Rzeszów, Poland

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).