@inbook{8d244266dc3147eeaca68af0f88e0c1e,
title = "Fuzzy metric approach to aggregation of risk levels",
abstract = "In this paper we propose a special construction of a general aggregation operator. The construction allows to aggregate fuzzy sets taking into account the distance between elements of the universe. We consider the case when fuzzy sets to be aggregated represent the risk level evaluation by several experts. We describe how the proposed construction could be applied for risk level assessment in the case when a strong fuzzy metric is used to characterize the similarity of objects under evaluation.",
keywords = "Aggregation operator, Fuzzy metric, Risk level assessment",
author = "Svetlana Asmuss and Pāvels Orlovs",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.",
year = "2020",
doi = "10.1007/978-3-030-16024-1\_22",
language = "English",
isbn = "9783030160234",
volume = "819",
series = "Studies in Computational Intelligence",
publisher = "Springer",
pages = "175--181",
booktitle = "Studies in Computational Intelligence",
address = "Germany",
}