Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
•We introduce hesitance degree of hesitant fuzzy element.•We propose novel distance between hesitant fuzzy sets.•We propose novel similarity measures between hesitant fuzzy sets.•We apply our similarity measure in pattern recognition.
In this paper, we take into account the hesitance degree of hesitant fuzzy sets, introduce the concept of hesitance degree of hesitant fuzzy element which describes the decision maker’s hesitance in decision making process, and propose several novel distance and similarity measures between hesitant fuzzy sets. A comparison with the existing distance and similarity measures between hesitant fuzzy sets and a numerical example show that our proposed method is reasonable and valid.