Conferences related to Decision Making

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2016 IEEE 55th IEEE Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.

  • 2014 IEEE 53rd Annual Conference on Decision and Control (CDC)

    Largest annual conference in control theory and its applications. Areas covered all applied math, communication, control, aerospace, biology, etc.

  • 2013 IEEE 52nd Annual Conference on Decision and Control (CDC)

    The 52nd IEEE Conference on Decision and Control will be held Tuesday through Friday, December 10-13, 2013 at the Congress Centre in Firenze, Italy. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss the latest advancements of the discipline, shape its future directions, and promote its diffusion among the scientific community at large. The 52nd CDC will feature the presentation of contributed and invited papers, as well as tutorial sessions and workshops. The CDC is hosted by the IEEE Control Systems Society (CSS), and is organized in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).

  • 2012 IEEE 51st Annual Conference on Decision and Control (CDC)

    The conference discusses advances in theory, design and application of control systems. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the control systems from analysis and design through simulation and hardware. Its scope shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organiz

  • 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011)

    This conference is dedicated to the advancement of the theory and practice of systems and control, bringing together an international community of researchers and practitioners to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.

  • 2010 49th IEEE Conference on Decision and Control (CDC)

    Theory and applications of control theory and control systems technology

  • 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC)

    This conference is dedicated to the advancement of the theory and practice of systems and control, bringing together an international community of researchers and practitioners to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.

  • 2008 47th IEEE Conference on Decision and Control (CDC)

    The CDC is the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control, bringing together an international community of researchers and practitioners to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

IEEE International Conference on Fuzzy Systems is the largest technical event in the field of fuzzy systems. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.

  • 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

    The conference will provide a platform for researchers and practitioners to deliberate / exchange ideas on a wide range topics in fuzzy systems and related areas including fuzzy measures, fuzzy control, fuzzy pattern recognition, data/text/web mining, information/text/image retrieval, knowledge discovery, reasoning, and applications of fuzzy theories in all areas

  • 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

    The annual FUZZ-IEEE is one of the leading events in the field of fuzzy systems.

  • 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

    The FUZZ-IEEE 2011 will be held in Taipei, Taiwan. The conference will cover the whole range of research and applications in fuzzy systems and soft computing. In addition to regular oral and poster presentations, the conference will include a full program of tutorials, workshops, panel sessions, and keynote talks.


2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.


2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2013)

Humanoids in the Real World: All related areas of humanoid robotics including locomotion, architectures, mechatronics, control, perception, planning, learning, neuroscience and interaction.

  • 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012)

    The conference theme is 'Humanoids and Humans: Towards A New Frontier.' More than a decade has passed since the first Humanoids conference. Over that period, science and technology have advanced significantly. It is time to revisit the original conception of humanoids -- human-like robots -- and engage the next stage of humanoid research. What can we do with the current and emerging research across broad areas of science and technology to explore the next generation of humanoids and their new relationship to humans? Papers contributing to answering this question from any aspects are solicited.

  • 2011 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011)

    The creation of general-purpose service and companion humanoid robots is one of the greatest challenges in today s robotics research with a potentially huge impact. Papers are solicited in all related areas of humanoid robotics including mechatronics, control, perception, planning, learning, neuroscience, and human-robot interaction.

  • 2010 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2010)

    Humanoid Robotics is an increasing research topic stimulated both by the perspective of highly challenging applications in servicing robotics and by renewing fundamental research topics in Robotics at large such as Mechatronics, Control, Decision Making and Human-Robot Interaction. More than that Humanoid Robotics opens synergetic researches towards Life and Human Science. Such openness will constitute the special theme of Humanoids2010.


2013 9th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM)

All areas related to wireless communications, network technologies, and mobile computing systems.


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Periodicals related to Decision Making

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Industrial Informatics, IEEE Transactions on

IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...


Systems, Man and Cybernetics, Part A, IEEE Transactions on

Systems engineering, including efforts that involve issue formnaulations, issue analysis and modeling, and decision making and issue interpretation at any of the life-cycle phases associated with the definition, development, and implementation of large systems. It will also include efforts that relate to systems management, systems engineering processes and a variety of systems engineering methods such as optimization, modeling and simulation. ...


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...


Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

Applications, review, and tutorial papers within the scope of the Systems, Man and Cybernetics Society. Currently, this covers: (1) Integration of the theories of communication, control cybernetics, stochastics, optimization and system structure towards the formulation of a general theory of systems; (2) Development of systems engineering technology including problem definition methods, modeling, and stimulation, methods of systems experimentation, human factors ...



Most published Xplore authors for Decision Making

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Xplore Articles related to Decision Making

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iArchiMate: A Tool for Managing Imperfection in Enterprise Models

Hector Florez; Mario Sánchez; Jorge Villalobos 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, 2014

Enterprise Architecture (EA) models are built for representing one enterprise under study and are used for performing analyses that support decision making processes. EA models are created based on information provided by different kinds of sources, but these sources could be insufficient or the information could be incomplete or incorrect regarding aspects of the enterprise. As a result, modelers must ...


Visual Modeling Editor and Ontology API-Based Analysis for Decision Making in Enterprises - Experience and Way Ahead

Sagar Sunkle; Hemant Rathod 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, 2014

To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO- BE states, and d) operationalization model that captures paths from AS-IS to desired ...


A knowledge-extraction experience in anticoagulation for early postoperative cardiac valvular surgery

M. A. Simonet; A. Boignard; V. Bach; S. Tramaille; M. Simonet; D. Blin 2007 Computers in Cardiology, 2007

Cardiac valvular prosthesis surgery requires an anticoagulant treatment whose management is particularly difficult in early postoperative surgery. The capacity to avoid both thromboembolic and haemorrhagic risks relies on the integration of numerous parameters. In this paper, we present an experience of Knowledge Extraction from clinical and biological data from a cardiac surgery department of the University Hospital of Grenoble. The ...


Decision making, planning, and teams

M. J. Cook; L. Elder; G. Ward IEE Colloquium on Computer Mediated Complex Supervisory and Decision Making in Teams (Digest No: 1997/137), 1997

The RAF have started to train air crew in cockpit and crew resource management (CRM) to ensure maximum levels of safety during training and to encourage effective performance in operational engagements. The RAF's CRM courses place emphasis on a cyclic system of processes where decision making is part of a loop. The remainder of the loop contains inquiry, advocacy, conflict ...


Capacity management and patient scheduling in an outpatient clinic using discrete event simulation

Gokce Akin; Julie S. Ivy; Todd R. Huschka; Thomas R. Rohleder; Yariv N. Marmor 2013 Winter Simulations Conference (WSC), 2013

Capacity management and scheduling decisions are important for managing an outpatient clinic in which multiple classes of patients are treated. After an appointment is scheduled, it can be rescheduled, cancelled, or a patient may not show-up on their appointment day. This study simulates the behavior of patients with regard to the time to appointment, examining different demand rates and service ...


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Educational Resources on Decision Making

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eLearning

iArchiMate: A Tool for Managing Imperfection in Enterprise Models

Hector Florez; Mario Sánchez; Jorge Villalobos 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, 2014

Enterprise Architecture (EA) models are built for representing one enterprise under study and are used for performing analyses that support decision making processes. EA models are created based on information provided by different kinds of sources, but these sources could be insufficient or the information could be incomplete or incorrect regarding aspects of the enterprise. As a result, modelers must ...


Visual Modeling Editor and Ontology API-Based Analysis for Decision Making in Enterprises - Experience and Way Ahead

Sagar Sunkle; Hemant Rathod 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, 2014

To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO- BE states, and d) operationalization model that captures paths from AS-IS to desired ...


A knowledge-extraction experience in anticoagulation for early postoperative cardiac valvular surgery

M. A. Simonet; A. Boignard; V. Bach; S. Tramaille; M. Simonet; D. Blin 2007 Computers in Cardiology, 2007

Cardiac valvular prosthesis surgery requires an anticoagulant treatment whose management is particularly difficult in early postoperative surgery. The capacity to avoid both thromboembolic and haemorrhagic risks relies on the integration of numerous parameters. In this paper, we present an experience of Knowledge Extraction from clinical and biological data from a cardiac surgery department of the University Hospital of Grenoble. The ...


Decision making, planning, and teams

M. J. Cook; L. Elder; G. Ward IEE Colloquium on Computer Mediated Complex Supervisory and Decision Making in Teams (Digest No: 1997/137), 1997

The RAF have started to train air crew in cockpit and crew resource management (CRM) to ensure maximum levels of safety during training and to encourage effective performance in operational engagements. The RAF's CRM courses place emphasis on a cyclic system of processes where decision making is part of a loop. The remainder of the loop contains inquiry, advocacy, conflict ...


Capacity management and patient scheduling in an outpatient clinic using discrete event simulation

Gokce Akin; Julie S. Ivy; Todd R. Huschka; Thomas R. Rohleder; Yariv N. Marmor 2013 Winter Simulations Conference (WSC), 2013

Capacity management and scheduling decisions are important for managing an outpatient clinic in which multiple classes of patients are treated. After an appointment is scheduled, it can be rescheduled, cancelled, or a patient may not show-up on their appointment day. This study simulates the behavior of patients with regard to the time to appointment, examining different demand rates and service ...


More eLearning Resources

IEEE-USA E-Books

  • Schemas for Prey-Catching in Frog and Toad

    This paper first outlines the methodology of schema theory (Arbib 1981), which integrates perception and action by decomposing an overall behavior into the interaction of functional, neurally explicable, units called schemas. It offers comparisons with other methodologies from Artificial Intelligence (AI) and Brain Theory (BT), and reviews the RS (Robot Schema) language and the Arbib and House (1987) model of detour behavior in Rana computatrix which associates potential fields with objects -- an attractant for the prey; arepulsor for the fencepost; and a forward field for the toad itself which are then combined to create more complex fields which determine the trajectory of the animal. However, rather than analyze detour behavior here, the remainder of the paper presents a schema-theoretic model for the decision-making mechanisms which control preY: catching behavior in frog and toad; the extension of the work to model predator-avoidance is discussed elsewhere. It thus contributes to Rana computatrix, an evolving set of models of anuran visuomotor coordination (e.g., Arbib 1987). Our new model of prey-catching is rooted in recent experimental data on the behavior of animals with and without brain lesions. These data motivate the model's use of independent processing of the different parameters that define the stimulus position (horizontal eccentricity, elevation and distance). The model, which emphasizes action generated by the concurrent activity of multiple motor schemas rather than the serial activity of such schemas, predict new behaviors for experimental test.

  • Comparing the Two Cultures in Technical Writing

    Veteran technical writers and editors sometimes suspect that the professors who teach technical writing and editing are too deeply immersed in their academic culture to translate effectively into the classroom the world of work culture in which technical writing and editing are practiced. In fact, the two cultures are remarkably alike, sharing the same goal-to improve communication. Differences arise primarily in the approaches taken to achieve that common goal. Drawing upon the author's 25 years of experience as a technical writer and editor and his more recent experience as a visiting professor in a university writing program, this chapter discusses the different approaches that industry and academic take to such topics as grammar, rhetoric, audience, editing, artwork, decision making, and collaborative writing.

  • Fundamentals of Probability and Statistics

    This chapter contains sections titled: Concept of Frequency Important Parameters of Frequency Distribution Theory of Probability Probability Distribution Model Sampling Theory Statistical Decision Making Conclusions References

  • Appendix B: Markov Processes

    This appendix contains sections titled: Markov Processes Semi-Markov Process

  • No title

    <p> New data acquisition techniques are emerging and are providing fast and efficient means for multidimensional spatial data collection. Airborne LIDAR surveys, SAR satellites, stereo-photogrammetry and mobile mapping systems are increasingly used for the digital reconstruction of the environment. All these systems provide extremely high volumes of raw data, often enriched with other sensor data (e.g., beam intensity). Improving methods to process and visually analyze this massive amount of geospatial and user-generated data is crucial to increase the efficiency of organizations and to better manage societal challenges. </p> <p> Within this context, this book proposes an up-to-date view of computational methods and tools for spatio-temporal data fusion, multivariate surface generation, and feature extraction, along with their main applications for surface approximation and rainfall analysis. The book is intended to attract interest from different fields, such s computer vision, computer graphics, geomatics, and remote sensing, working on the common goal of processing 3D data. To this end, it presents and compares methods that process and analyze the massive amount of geospatial data in order to support better management of societal challenges through more timely and better decision making, independent of a specific data modeling paradigm (e.g., 2D vector data, regular grids or 3D point clouds). </p> <p> We also show how current research is developing from the traditional layered approach, adopted by most GIS softwares, to intelligent methods for integrating existing data sets that might contain important information on a geographical area and environmental phenomenon. These services combine traditional map-oriented visualization with fully 3D visual decision support methods and exploit semantics-oriented information (e.g., a-priori knowledge, annotations, segmentations) when processing, merging, and integrating big pre-exis ing data sets. </p>

  • Big Data and Organizations

    Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data's ramifications. The contributors look at big data's effect on individual as it exerts social control through monitoring, mining, and manipulation; big data and society, examining both its empowering and its constraining effects; big data and science, considering issues of data governance, provenance, reuse, and trust; and big data and organizations, discussing data responsibility, "data harm," and decision making. **Contributors**Ryan Abbott, Cristina Alaimo, Kent R. Anderson, Mark Andrejevic, Diane E. Bailey, Mike Bailey, Mark Burdon, Fred H. Cate, Jorge L. Contreras, Simon DeDeo, Hamid R. Ekbia, Allison Goodwell, Jannis Kallinikos, Inna Kouper, M. Lynne Markus, Michael Mattioli, Paul Ohm, Scott Peppet, Beth Plale, Jason Portenoy, Julie Rennecker, Katie Shilton, Dan Sholler, Cassidy R. Sugimoto, Isuru Suriarachchi, Jevin D. West

  • Index

    No abstract.

  • Will Approaches from the Psychosocial and Organizational Sciences Improve Research Misconduct Regulation?

    This chapter contains sections titled: Moral Disengagement, Lies, Deception, and Self-Deception, Ethical Decision Making, Moral Identity, Psychosocial Factors in Research Misconduct, Organizational Factors in Research Misconduct, Stability of Ethical Norms and Organizational Justice, Instruction in the Responsible Conduct of Research, Summary, Study Questions

  • Multiperspective and Whole-System Learning

    This chapter contains sections titled: Introduction Multiperspective Context Building Multiperspective Decision Making and Multiperspective Learning Whole-System Learning and Multiperspective Approaches Case Study Based on Multiperspective Approach Limitations to a Multiperspective Approach Summary References

  • Search Environments, Representation, and Encoding

    Over a century ago, William James proposed that people search through memory much as they rummage through a house looking for lost keys. We scour our environments for territory, food, mates, and information. We search for items in visual scenes, for historical facts, and for the best deals on Internet sites; we search for new friends to add to our social networks, and for solutions to novel problems. What we find is always governed by how we search and by the structure of the environment. This book explores how we search for resources in our minds and in the world. The authors examine the evolution and adaptive functions of search; the neural underpinnings of goal-searching mechanisms across species; psychological models of search in memory, decision making, and visual scenes; and applications of search behavior in highly complex environments such as the Internet. As the range of information, social contacts, and goods continues to expand, how well we are able to search and successfully find what we seek becomes increasingly important. At the same time, search offers cross-disciplinary insights to the scientific study of human cognition and its evolution. Combining perspectives from researchers across numerous domains, this book furthers our understanding of the relationship between search and the human mind.



Standards related to Decision Making

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Jobs related to Decision Making

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