Intelligent decision technology supp...
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  • Intelligent decision technology support in practice[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 658.4030285
    書名/作者: Intelligent decision technology support in practice/ edited by Jeffrey W. Tweedale ... [et al.].
    其他作者: Tweedale, Jeffrey W.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xxix, 261 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Decision making - Data processing.
    標題: Artificial intelligence.
    標題: Engineering.
    標題: Computational Intelligence.
    標題: Artificial Intelligence (incl. Robotics)
    ISBN: 9783319212098
    ISBN: 9783319212081
    內容註: An Introduction to Intelligent Decision-Making Technology Support -- Asset Management Strategies: Risk and Transaction Costs in Simulation -- Decision Support System for Energy Ssavings and Emissions Trading in Industrial Scenarios -- A Parsimonious Radial Basis Function-Based Neural Network for Data Classification -- Personalized Intelligent Mobility Platform: An Enrichment Approach using Social Media -- Exploiting Alternative Knowledge Visualizations and Reasoning Mechanisms to Enhance Collaborative Decision Making -- Decision-Making in a Distributed and Dynamically Scalable Environments -- Enhancing the Tactical Data Link Decision Support System -- AC3M: The Agent Coordination and Cooperation Cognitive Model -- Wind Rendering in 3D Modeling Landscape Scenes -- Extending the Service Oriented Architecture to Include a Decisional Components -- An Eextended Dependability Case to Share Responsibility Knowledge -- Designing a Hybrid Recommendation System for TV Content -- Incompleteness and Fragmentation: Possible Formal Cues to Cognitive Processes behind Spoken Utterances.
    摘要、提要註: This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative technique that often represent alternative approaches. This book is suitable for anyone interested in or already working with IDT or Intelligent Decision Support Systems. It is also suitable for students and researchers seeking to learn more about modern Artificial Intelligence and Computational Intelligence techniques that support decision-making in modern computer systems.
    電子資源: http://dx.doi.org/10.1007/978-3-319-21209-8
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