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Trends in Control and Decision-Making for Human–Robot Collaboration Systems

Wang, Yue. editor.

http://dx.doi.org/10.1007/978-3-319-40533-9

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Trends in Control and Decision-Making for Human–Robot Collaboration Systems Wang, Yue. editor.

Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk

Mostafa, Fahed. author.

http://dx.doi.org/10.1007/978-3-319-51668-4

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Decision making.

Flows in Networks Under Fuzzy Conditions

Bozhenyuk, Alexander Vitalievich. author.

http://dx.doi.org/10.1007/978-3-319-41618-2

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Decision making.

Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

Zhang, Xiaolu. author.

http://dx.doi.org/10.1007/978-3-319-42001-1

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Decision making.

Grouping Genetic Algorithms Advances and Applications

Mutingi, Michael. author.

http://dx.doi.org/10.1007/978-3-319-44394-2

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Decision making.

Information Technology and Computational Physics

Kulczycki, Piotr. editor.

http://dx.doi.org/10.1007/978-3-319-44260-0

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retrieval, clustering and classification, decision making and decision support, control, computational

Decision Support System for Diagnosis and Treatment of Hearing Disorders The Case of Tinnitus

Tarnowska, Katarzyna A. author.

http://dx.doi.org/10.1007/978-3-319-51463-5

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clinical decision support systems include not only improved efficiency in health care delivery (by reducing

Modern Approaches to Agent-based Complex Automated Negotiation

Fujita, Katsuhide. editor.

http://dx.doi.org/10.1007/978-3-319-51563-2

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Decision Making -- A CPN-Based Protocol for Concurrent Multiple Negotiation -- A Dependency

Mob Control: Models of Threshold Collective Behavior

Breer, Vladimir V. author.

http://dx.doi.org/10.1007/978-3-319-51865-7

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decision-making of the agents. Based on the results of analysis of the interconnection between the micro

10.

Granular, Soft and Fuzzy Approaches for Intelligent Systems Dedicated to Professor Ronald R. Yager

Kacprzyk, Janusz. editor.

http://dx.doi.org/10.1007/978-3-319-40314-4

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data and system analysis, decision making, and control. It discusses important theories, including

11.

Intelligence Systems in Environmental Management: Theory and Applications

Kahraman, Cengiz. editor.

http://dx.doi.org/10.1007/978-3-319-42993-9

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, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent

12.

Best Matching Theory & Applications

Moghaddam, Mohsen. author.

http://dx.doi.org/10.1007/978-3-319-46070-3

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§ Systematic identification of systems’ hierarchy, nature of interactions, and distribution of decision-making

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