| 書(shū)目名稱 | Computational Techniques for Intelligence Analysis | | 副標(biāo)題 | A Cognitive Approach | | 編輯 | Vincenzo Loia,Francesco Orciuoli,Angelo Gaeta | | 視頻video | http://file.papertrans.cn/234/233180/233180.mp4 | | 概述 | Is about computational techniques for Intelligence analysis that belongs to the macro-area of risk management.Focuses on definition and implementation of computational tools.Appeals to students, profe | | 圖書(shū)封面 |  | | 描述 | .This book focuses on the definition and implementation of data-driven computational tools supporting decision-making along heterogeneous intelligence scenarios. Intelligence analysis includes methodologies, activities, and tools aimed at obtaining complex information from a set of isolated data gathered from different sensors. The tools aim at increasing the level of situation awareness of decision-makers through the construction of abstract structures supporting human operators in reasoning and making decisions. This book appeals to students, professionals, and academic researchers in computational intelligence and approximate reasoning applications. It is a comprehensive textbook on the subject, supported with case studies and practical examples in Python. The readers will learn how to define decision support systems for the intelligence analysis through the application of situation awareness and granular computing for information processing.?. | | 出版日期 | Textbook 2023 | | 關(guān)鍵詞 | Computational Intelligence; Artificial Intelligence; Fuzzy Logic; Fuzziness; Contemporary Fuzzy Logic; Sc | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-20851-5 | | isbn_softcover | 978-3-031-20853-9 | | isbn_ebook | 978-3-031-20851-5 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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