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

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樓主
發(fā)表于 2025-3-21 18:35:47 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Aggregation and Fusion of Imperfect Information
影響因子2023Bernadette Bouchon-Meunier
視頻videohttp://file.papertrans.cn/152/151284/151284.mp4
發(fā)行地址A state-of-the-art of the main methodologies to manage imperfect information, as well as examples of their utilizations
學(xué)科分類Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Aggregation and Fusion of Imperfect Information;  Bernadette Bouchon-Meunier Book 1998 Springer-Verlag Berlin Heidelberg 1998 Unvollst?ndig
影響因子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.
Pindex Book 1998
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發(fā)表于 2025-3-21 23:18:39 | 只看該作者
Marcy F. Lawton,Robert O. Lawtonf the navigation of a mobile robot equipped with two ultrasonic range finding sensors, giving the proximity, the orientation, and the danger of an obstacle by the aggregation of the distance information provided by each one.
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地板
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Fusion of Image Information under Imprecisionee levels. We also explore some promising fields where innovative works will most certainly take place in the coming years. They concern the management of spatial information within the framework of fusion and require the development of new tools or the extension of yet established ones.
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發(fā)表于 2025-3-22 09:01:48 | 只看該作者
Book 1998bability 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.
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發(fā)表于 2025-3-22 14:22:06 | 只看該作者
1434-9922 e 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 i
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David W. Winkler,Jeffrey R. Waltersgrees to which the fuzzy constraints and fuzzy goals at a particular control stage are fulfilled) be best satisfied at ., etc. control stages. Zadeh’s (1983) fuzzy-logic-based calculus of linguistically quantified statements is employed, and the resulting problem is solved by dynamic programming.
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