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Aggregation and fusion of imperfect information. (English) Zbl 0886.00008
Studies in Fuzziness and Soft Computing. 12. Heidelberg: Physica-Verlag. viii, 278 p. (1998).

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The articles of this volume will be reviewed individually.
Publisher’s description:
This book presents the main tools for aggregation of information given by several members of a group or expressed in multiple criteria, and for fusion of data provided by several sources. It focuses on the case where the availability knowledge is imperfect, which means that uncertainty and/or imprecision must be taken into account. The book contains both theoretical and applied studies of aggregation and fusion methods in the main frameworks: probability theory, evidence theory, fuzzy set and possibility theory. The latter is more developed because it allows to manage both imprecise and uncertain knowledge. Applications to decision-making, image processing, control and classification are described.
Indexed articles:
Ovchinnikov, Sergei, On robust aggregation procedures, 3-10 [Zbl 0894.92040]
Fodor, János; Calvo, Tomasa, Aggregation functions defined by \(t\)-norms and \(t\)-conorms, 36-48 [Zbl 0904.39016]
Grabisch, Michel, Fuzzy integral as a flexible and interpretable tool of aggregation, 51-72 [Zbl 0904.90003]
Kelman, Antoine; Yager, Ronald R., Using priorities in aggregation connectives, 73-97 [Zbl 0904.90004]
Cutello, Vincenzo; Montero, Javier, Aggregation operators for fuzzy rationality measures, 98-105 [Zbl 0897.90005]
Kacprzyk, Janusz, Multistage fuzzy control with a soft aggregation of stage scores, 118-137 [Zbl 0911.93039]
Benferhat, Salem; Dubois, Didier; Prade, Henri, From semantic to syntactic approaches to information combination in possibilistic logic, 141-161 [Zbl 0898.68079]

MSC:
00B15 Collections of articles of miscellaneous specific interest
03-06 Proceedings, conferences, collections, etc. pertaining to mathematical logic and foundations
68-06 Proceedings, conferences, collections, etc. pertaining to computer science
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