6533b7cffe1ef96bd1259772

RESEARCH PRODUCT

Fuzzy Metric Approach to Aggregation of Risk Levels

Svetlana AsmussPavels Orlovs

subject

Risk levelTheoretical computer scienceOperator (computer programming)Similarity (network science)Computer scienceMetric (mathematics)Fuzzy setAggregate (data warehouse)Fuzzy logic

description

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.

yearjournalcountryeditionlanguage
2019-05-03
https://doi.org/10.1007/978-3-030-16024-1_22