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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Applying AHP method select online shopping platform

Chang-Hsien Hsu; Chun-Ming Yang; Tsang-Chiang Chen; Chi-Yuan Chen 2010 7th International Conference on Service Systems and Service Management, 2010

This paper proposes a case of the traditional market retailers in central Taiwan. Applying Analytical Hierarchy Process (AHP) method is to find the best online shopping platform to begin e-commerce. Traditional retail market is usually the purchase store that is to buy food and daily necessities place of the Taiwan people. However, according to the consumers lifestyle change, the fresh ...


An Optimal Strategy Learning for RoboCup in Continuous State Space

Tao Junyuan; Li Desheng 2006 International Conference on Mechatronics and Automation, 2006

RoboCup offers a set of challenges for machine learning researchers because it is a dynamic, nondeterministic, goal delayed and continuous state space problem. Reinforcement learning (RL) is often used for strategy learning in RoboCup, which is a method to learn an optimal control policy for sequential decision-making problems. But it is difficult to apply RL to continuous state space problems ...


A small test generator for large designs

S. Kundu; L. M. Huisman; I. Nair; V. Ivenaar; L. N. Reddy Proceedings International Test Conference 1992, 1992

We report an automatic test pattern generator that can handle designs with one million gates or more on medium size workstations. Run times and success rates, i.e. the fraction of faults that are resolved, are comparable to or better than those reported previously in the literature. No preprocessing is required and the amount of memory needed is less than 100 ...


Development of an RFID-based management system for fashion industry

Chia-Chen Chen; Mu-Yen Chen; Nien-Chu Wu 2010 7th International Conference on Service Systems and Service Management, 2010

We describe the design and development of radio-frequency identification (RFID)-based management system in a good and fashion company to enhance operational efficiency. The system is integrated RFID techniques and distributed readers capability to achieve better automation products introduction, inventory control, real-time replenishment, and goods-point reading rate analysis, as well as to improve its quality of service. This research demonstrates the ...


A MADM framework for generation expansion planning in small electricity firms

M. P. Moghaddam; M. K. Sheikh-El-Eslam; S. Jadid IEEE Power Engineering Society General Meeting, 2005, 2005

Multi attribute decision making (MADM) methods have been widely used for a variety of decision-making problems in electric utility planning. With introduction of competition in electricity industry, generation planning shifts from vertically integrated monopoly utilities to decentralized competitive firms. In general, these firms can be divided into price taker small firms and price maker large firms. In this paper, we ...


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Educational Resources on Decision Making

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eLearning

Applying AHP method select online shopping platform

Chang-Hsien Hsu; Chun-Ming Yang; Tsang-Chiang Chen; Chi-Yuan Chen 2010 7th International Conference on Service Systems and Service Management, 2010

This paper proposes a case of the traditional market retailers in central Taiwan. Applying Analytical Hierarchy Process (AHP) method is to find the best online shopping platform to begin e-commerce. Traditional retail market is usually the purchase store that is to buy food and daily necessities place of the Taiwan people. However, according to the consumers lifestyle change, the fresh ...


An Optimal Strategy Learning for RoboCup in Continuous State Space

Tao Junyuan; Li Desheng 2006 International Conference on Mechatronics and Automation, 2006

RoboCup offers a set of challenges for machine learning researchers because it is a dynamic, nondeterministic, goal delayed and continuous state space problem. Reinforcement learning (RL) is often used for strategy learning in RoboCup, which is a method to learn an optimal control policy for sequential decision-making problems. But it is difficult to apply RL to continuous state space problems ...


A small test generator for large designs

S. Kundu; L. M. Huisman; I. Nair; V. Ivenaar; L. N. Reddy Proceedings International Test Conference 1992, 1992

We report an automatic test pattern generator that can handle designs with one million gates or more on medium size workstations. Run times and success rates, i.e. the fraction of faults that are resolved, are comparable to or better than those reported previously in the literature. No preprocessing is required and the amount of memory needed is less than 100 ...


Development of an RFID-based management system for fashion industry

Chia-Chen Chen; Mu-Yen Chen; Nien-Chu Wu 2010 7th International Conference on Service Systems and Service Management, 2010

We describe the design and development of radio-frequency identification (RFID)-based management system in a good and fashion company to enhance operational efficiency. The system is integrated RFID techniques and distributed readers capability to achieve better automation products introduction, inventory control, real-time replenishment, and goods-point reading rate analysis, as well as to improve its quality of service. This research demonstrates the ...


A MADM framework for generation expansion planning in small electricity firms

M. P. Moghaddam; M. K. Sheikh-El-Eslam; S. Jadid IEEE Power Engineering Society General Meeting, 2005, 2005

Multi attribute decision making (MADM) methods have been widely used for a variety of decision-making problems in electric utility planning. With introduction of competition in electricity industry, generation planning shifts from vertically integrated monopoly utilities to decentralized competitive firms. In general, these firms can be divided into price taker small firms and price maker large firms. In this paper, we ...


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IEEE-USA E-Books

  • Technologies for Dealing with Information Overload: An Engineer's Point of View

    This chapter contains sections titled: Introduction Information Overload: Challenges and Opportunities Storing and Querying Semistructured Data Techniques for Retrieving Information Mining Large Databases for Extracting Information Processing Data Streams Summary References From Data to Information to Situational Awareness to Decisions Transformative Airspace Architecture Robust, Agile, and Intelligently Responsive Information-Sharing Architecture Next Generation Efforts to Manage Information Distributed Decision Making System-Wide Information Management (SWIM) Shared Situation Awareness and Collaborative Decision Making Automation and Information in the NAS Summary References

  • Theoretical Underpinnings

    Why are we surprised when smart people act foolishly? Smart people do foolish things all the time. Misjudgments and bad decisions by highly educated bankers and money managers, for example, brought us the financial crisis of 2008. Smart people do foolish things because intelligence is not the same as the capacity for rational thinking. _The Rationality Quotient_ explains that these two traits, often (and incorrectly) thought of as one, refer to different cognitive functions. The standard IQ test, the authors argue, doesn't measure any of the broad components of rationality -- adaptive responding, good judgment, and good decision making. The authors show that rational thinking, like intelligence, is a measurable cognitive competence. Drawing on theoretical work and empirical research from the last two decades, they present the first prototype for an assessment of rational thinking analogous to the IQ test: the CART (Comprehensive Assessment of Rational Thinking). he authors describe the theoretical underpinnings of the CART, distinguishing the algorithmic mind from the reflective mind. They discuss the logic of the tasks used to measure cognitive biases, and they develop a unique typology of thinking errors. _The Rationality Quotient_ explains the components of rational thought assessed by the CART, including probabilistic and scientific reasoning; the avoidance of "miserly" information processing; and the knowledge structures needed for rational thinking. Finally, the authors discuss studies of the CART and the social and practical implications of such a test. An appendix offers sample items from the test.

  • Application

    Many important problems involve decision making under uncertainty -- that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a me hod for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. _Decision Making Under Uncertainty _unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

  • Index

    **Addresses the methodology and theoretical foundation of battery manufacturing, service and management systems (BM2S2), and discusses the issues and challenges in these areas** This book brings together experts in the field to highlight the cutting edge research advances in BM2S2&nbsp_place_holder;and to promote an innovative integrated research framework responding to the challenges. There are three major parts included in this book: manufacturing, service, and management. The first part focuses on battery manufacturing systems, including modeling, analysis, design and control, as well as economic and risk analyses.&nbsp_place_holder; The second part focuses on information technology's impact on service systems, such as data-driven reliability modeling, failure prognosis, and service decision making methodologies for battery services. The third part addresses battery management systems (BMS) for control and optimization of battery cells, opera ions, and hybrid storage systems to ensure overall performance and safety, as well as EV management.&nbsp_place_holder; The contributors consist of experts from universities, industry research centers, and government agency. In addition, this book: * Provides comprehensive overviews of lithium-ion battery and battery electrical vehicle manufacturing, as well as economic returns and government support * Introduces integrated models for quality propagation and productivity improvement, as well as indicators for bottleneck identification and mitigation in battery manufacturing * Covers models and diagnosis algorithms for battery SOC and SOH estimation, data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH * Presents mathematical models and novel structure of battery equalizers in battery management systems (BMS) * Reviews the state of the art of battery, supercapacitor, and battery-supercapacitor hybrid energy st rage systems (HESSs) for advanced electric vehicle applications _Advances in Battery Manufacturing, Services, and Management Systems_&nbsp_place_holder;is written for researchers and engineers working on battery manufacturing, service, operations, logistics, and management. It can also serve as a reference for senior undergraduate and graduate students interested in BM2S2.

  • Mechanisms and Processes of Cognitive Search

    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.

  • Confronting the Realities in Decision-Making

    This chapter provides some observations, and perspectives on what it takes to convert macro decisions into useful results that not only meet the requirements, schedule, and estimated costs but also have a positive impact on business performance. It demonstrates how the lack of decision-making capability affects organizational performance. Participants need to understand what's required and it should not depend on one's level in the organization. The daily experiences with decision-makers and decision processes can supplement the body of research that continues to show a shortage of managers, engineers, and other discipline specialists who possess adequate decision- making capability.

  • Analysis of Waveshape and Waveform Complexity

    This chapter explains how waveshapes and waveform complexity in biomedical signals relate to the characteristics of the underlying physiological and pathological phenomena and proposes techniques to parameterize and analyze the signal features that are identified. It focuses on characteristics that could be observed or derived in the time domain. The parameters considered were designed with the aim of discriminating between different types of waveshapes, or of representing change in waveform complexity through the course of a physiological or pathological process. It should be borne in mind that, in most practical applications, a single parameter or a couple of measures may not adequately serve the purposes of signal analysis or diagnostic decision making. A practical application would need to maintain a broad scope of analysis and use several parameters to detect various possible abnormalities. An investigator should consider the possibility that a parameter observed to be useful in the time domain may serve the needs in the analysis of some other signals in a different domain.

  • Probabilistic Surveillance Video Search

    This chapter contains sections titled: 8.1 Attribute-Based Person Search, 8.2 Probabilistic Appearance Model, 8.3 Learning and Inference Techniques, 8.4 Performance, 8.5 Interactive Search Tool, 8.6 Summary, References

  • Index

    Online decision making under uncertainty and time constraints represents one of the most challenging problems for robust intelligent agents. In an increasingly dynamic, interconnected, and real-time world, intelligent systems must adapt dynamically to uncertainties, update existing plans to accommodate new requests and events, and produce high-quality decisions under severe time constraints. Such online decision-making applications are becoming increasingly common: ambulance dispatching and emergency city-evacuation routing, for example, are inherently online decision-making problems; other applications include packet scheduling for Internet communications and reservation systems. This book presents a novel framework, online stochastic optimization, to address this challenge.This framework assumes that the distribution of future requests, or an approximation thereof, is available for sampling, as is the case in many applications that make either historical data or predictive models available. It assumes additionally that the distribution of future requests is independent of current decisions, which is also the case in a variety of applications and holds significant computational advantages. The book presents several online stochastic algorithms implementing the framework, provides performance guarantees, and demonstrates a variety of applications. It discusses how to relax some of the assumptions in using historical sampling and machine learning and analyzes different underlying algorithmic problems. And finally, the book discusses the framework's possible limitations and suggests directions for future research.

  • Collaboration through Gaming

    This chapter investigats the development of multipurpose collaborative games. In order to enable this a design framework is proposed for considering, first, the application and usage of the two dimensions (lusory and ludic dimensions) both in literature and decision-making games and, second, its successful deployment in a popular supply chain game. With the increase in tangible user interfaces (TUIs)-based gaming devices such as PlayStation Move, Xbox Kinect, and Nintendo Wii and the increasing ubiquity of TUI-based applications, the authors argue that educational collaborative games should move toward using gestural-sensitive TUIs for the design of educational games for children.



Standards related to Decision Making

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No standards are currently tagged "Decision Making"