Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications

Gallese, Chiara; Fuchs, Caro; Riva, Simone G.; Foglia, Emanuela; Schettini, Fabrizio; Ferrario, Lucrezia; Falletti, Elena; Nobile, Marco S.

doi:10.1109/cibcb55180.2022.9863033

Cited by 1 publication

(1 citation statement)

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“…The fuzzy rules, the linguistic values, the fuzzy sets and the shape of the membership functions are usually defined by the modeller, according to the available knowledge about the system to be described, unless a data-driven approach is exploited [ 39 ]. Fuzzy set theory and fuzzy logic found applications across several scientific and engineering disciplines, and FIS allowed fuzzy logic to be effectively adopted in several contexts, both in knowledge-based or data-driven applications, to support decision-making [ 40 , 41 ], meta-heuristics [ 42 ], modelling and control [ 43 , 44 ], clustering [ 45 ], classification tasks [ 46 ] and regression problems [ 47 ].…”

Section: Methodsmentioning

confidence: 99%

Characterization of bird formations using fuzzy modelling

Perinot

Fritz

Fusani

et al. 2023

J. R. Soc. Interface.

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The investigation of the emergent collective behaviour in flying birds is a challenging task, yet it has always fascinated scientists from different disciplines. In the attempt of studying and modelling line formation, we collected high-precision position data of 29 free-flying northern bald ibises ( Geronticus eremita ) using Global Navigation Satellite System loggers, to investigate whether the spatial relationships within a flock can be explained by birds maintaining energetically advantageous positions. Specifically, we exploited domain knowledge and available literature information to model by means of fuzzy logic where the air vortices lie behind a flying bird. This allowed us to determine when a leading bird provides the upwash to a following bird, reducing its overall effort. Our results show that the fuzzy model allows to easily distinguish which bird is flying in the wake of another individual, provides a clear indication about flying flock dynamics and also gives a hint about birds' social relationships.

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