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Titlebook: Aggregation and Fusion of Imperfect Information; Bernadette Bouchon-Meunier Book 1998 Springer-Verlag Berlin Heidelberg 1998 Unvollständig

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https://doi.org/10.1007/978-3-7908-1889-5Unvollständige Information; aggregation operator; aggregation operators; artificial intelligence; classi
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978-3-662-11073-7Springer-Verlag Berlin Heidelberg 1998
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Bernadette Bouchon-MeunierA state-of-the-art of the main methodologies to manage imperfect information, as well as examples of their utilizations
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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/a/image/151284.jpg
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https://doi.org/10.1007/978-88-470-0636-2We present new multicriteria aggregation methods based on OWA operators and on the management of priorities between different criteria. These methods are parameterized in order to be used in various different application contexts. For each method, we present a learning process and a neural representation.
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Space and Salience in Parietal Cortex,We consider the problem of decision making in environments in which there exists some uncertainty about the state of nature. A general approach to the representation of uncertainty using the Dempster-Shafer belief structure is presented.
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Aggregation Functions Defined by ,-Norms and ,-ConormsWe introduce a class of aggregation functions by the help of continuous .-norms and .-conorms. The general functional forms of such aggregations is determined. Associativity and idempotency are also studied separately.
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Using Priorities in Aggregation ConnectivesWe present new multicriteria aggregation methods based on OWA operators and on the management of priorities between different criteria. These methods are parameterized in order to be used in various different application contexts. For each method, we present a learning process and a neural representation.
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Aggregation in Decision Making with Belief StructuresWe consider the problem of decision making in environments in which there exists some uncertainty about the state of nature. A general approach to the representation of uncertainty using the Dempster-Shafer belief structure is presented.
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