On fuzzy solution of a linear optimization problem with max-aggregation function relation inequality constraints
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DOI: 10.1007/s10479-017-2483-6
Abstract: Crisp constraints in the case of linear optimization problem linked to max-aggregation function composition as rule may result in unsatisfactory solution. We propose and discuss a method of getting more feasible solutions, relaxing crisp inequalities/extremes… read more here.
Keywords: aggregation function; linear optimization; max aggregation; optimization problem ... See more keywords
Automated Detection of Schizophrenia Based on Retinal Measures and Neurological Soft Signs: Applications of Interpretable Classification Methods and the Choquet Integral Aggregation Function
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DOI: 10.1109/access.2025.3579973
Abstract: Background: Schizophrenia is a psychiatric illness with a significant functional impairment. Its diagnosis is based on clinical observation, despite much evidence for its neurobiological basis. More recently, alterations in retinal structure and function were also… read more here.
Keywords: classification; schizophrenia; aggregation function; integral aggregation ... See more keywords
Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function
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DOI: 10.1109/tfuzz.2020.2986986
Abstract: Despite the popularity and practical importance of the fuzzy inference system (FIS), the use of an FIS model as an n-ary aggregation function, which is characterized by both the monotonicity and boundary properties, is yet… read more here.
Keywords: ary aggregation; aggregation function; parametric conditions; tsk fis ... See more keywords
Optimal Placement of the Virtualized Federated Learning Aggregation Function at the Edge
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DOI: 10.1109/tnsm.2025.3551257
Abstract: Federated Learning (FL) enables multiple devices (clients) training a shared machine learning (ML) model on local datasets and then sending the updated models to a central server, whose task is aggregating the locally-computed updates and… read more here.
Keywords: time; edge; aggregation function; placement ... See more keywords