Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models

Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models

Yuri P. Pavlov (Bulgarian Academy of Sciences, Bulgaria) and Rumen D. Andreev (Bulgarian Academy of Sciences, Bulgaria)
Indexed In: Clarivate Analytics, SCOPUS View 2 More Indices
Release Date: February, 2013|Copyright: © 2013 |Pages: 280
ISBN13: 9781466629677|ISBN10: 1466629673|EISBN13: 9781466629684|DOI: 10.4018/978-1-4666-2967-7

Description

In order to ensure the criteria for monitoring and managing the various problems and design for decision control, a mathematical description of exact human knowledge is required for the management of adaptive and complex systems.

Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models presents an application and demonstration of a new mathematical technique for descriptions of complex systems. This comprehensive collection contains scientific results in the field of contemporary approaches to adaptive decision making that is essential for researchers, scholars, and students alike.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Control and Adaptive Systems
  • Decision support
  • Elements of Utility Theory
  • Measurement Scale
  • Performance Measurement Models
  • Value Function

Reviews and Testimonials

Andreev and Pavlov (both information and communication technologies, Bulgarian Academy of Sciences) describe and demonstrate a new mathematical technique to describe decision making in complex systems, which retains human speculative knowledge as decisive for the final solution. Their topics include decision support fundamentals, preferences-based performance measurement models, elements of stochastic programming, extrapolation methods in control and adaptive systems, personalized electronic-learning systems, and a preference utility-based approach to discovering qualitative knowledge. The case study is a chicken and egg farm.

– Annotation ©2013 Book News Inc. Portland, OR

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Yuri Pavlov is an associate professor in the Institute of Information and Communication Technologies in Bulgarian Academy of Sciences, Bulgaria. He has received DUES from Paris VI - France, MSc degree in Automation from Technical University of Sofia and holds PhDs from the Bulgarian Academy of Sciences. His research has been published in international journals Proceedings of Bulgarian Academy of Sciences, International online journal Bioautomation, European Journal of OR, E-learning III and the knowledge society-Belgium, Proceedings in Manufacturing Systems - Romania. He has both research and practical expertise in innovative and creative decision-making, optimal control, control design of complex systems. He is also member of International Institute of Informatics and Systemics (IIIS).
Rumen Andreev is head of department “Communication Systems and Services” of Institute of Information and Communication Technologies, Bulgarian Academy of Sciences. He has received MSc degree in Automation and holds PhD in Computer Aided Design from Technical University of Sofia. He has both research and practical expertise in computer graphics, computer-aided design, human-computer interactions and enhancement of resources for collaborative, cooperative work and personalized e-learning. His research has been published in the monograph “Graphics Systems: Architecture and Realization, Elsevier and in international journals including the Computers and Graphics, Computer Graphics Forum, Interacting with Computers, Communication and Cognition. He is member of Union of Automation and Informatics, UAI-Bulgaria.

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