Titlebook: Computational Intelligence; International Joint Christophe Sabourin,Juan Julián Merelo,Kevin Warwi Conference proceedings 2021 The Editor(

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https://doi.org/10.1007/978-3-319-62627-7uggested to cover particular aggregation needs like coalitions among atomic predicates and quantified conditions. The proposed method can be applied for selecting suitable records from any dataset containing numerical, categorical, fuzzy and binary data. The important characteristic of the presented

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Mario Castro,Grant Lythe,Carmen Molina-Paríssion was reached. This is practically difficult from a technical perspective, whereas from a legal point of view, it remains unclear whether this is sufficient to safeguard the data subject’s rights. This chapter is an extended version of a previous published paper in IJCCI 2019 [.] which examines t

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A Method for Selecting Suitable Records Based on Fuzzy Conformance and Aggregation Functions,uggested to cover particular aggregation needs like coalitions among atomic predicates and quantified conditions. The proposed method can be applied for selecting suitable records from any dataset containing numerical, categorical, fuzzy and binary data. The important characteristic of the presented

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Introductionroperties such as superposition and entanglement. For example, a quantum bit (qubit) lives in a combination of the 0 and 1 states at the same time. Astonishingly, these peculiar properties offer new perspectives to solving difficult computational tasks. This chapter is dedicated to a high-level over

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Predictive Statistical Mechanicsed as isotropic ones. This property is utilized in the present study for a simply supported square plate loaded by a uniformly distributed normal load. Design constraints on normal stresses and on maximum deflection are formulated. The unknown variables are the two face plate thicknesses, the height