The Extreme Value Support Measure Machine for Group Anomaly Detection
Group anomaly detection is a subfield of pattern recognition that aims at detecting anomalous groups rather than individual anomalous points. However, existing approaches mainly target the unusual aggregate of points in high-density regions. In this way,
Lixuan An, Bernard De Baets, Stijn Luca
doaj +1 more source
Element-Based Construction Methods for Uninorms on Bounded Lattices
Uninorms are aggregation operators that generalize the t-norms (t-conorms), which are extensions of the logical connectives ∧(∨) to the fuzzy set theory.
Ümit Ertuğrul +2 more
doaj +1 more source
Ordinal sum construction for uninorms and generalized uninorms
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
Some further construction methods for uninorms via uninorms
In this paper, we further investigate new construction methods for uninorms on bounded lattices via given uninorms. More specifically, we first construct new uninorms on arbitrary bounded lattices by extending a given uninorm on a subinterval of the lattices under necessary and sufficient conditions on the given uninorm.
Xiu, Zhenyu, Zheng, Xu
openaire +2 more sources
New constructions of decision evaluation functions in three-way decision spaces based on uninorms. [PDF]
Jia Z, Qiao J.
europepmc +1 more source
Subjective Trusts for the Control of Mobile Robots under Uncertainty. [PDF]
Kagan E, Rybalov A.
europepmc +1 more source
Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback. [PDF]
de Campos Souza PV, Lughofer E.
europepmc +1 more source
Large-scale group decision-making (LSGDM) for performance measurement of healthcare construction projects: Ordinal Priority Approach. [PDF]
Mahmoudi A, Abbasi M, Yuan J, Li L.
europepmc +1 more source
Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization. [PDF]
Lu Y, Xu Y, Herrera-Viedma E, Han Y.
europepmc +1 more source
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. [PDF]
Lucassen RT +21 more
europepmc +1 more source

