Conferences related to Decision Making

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2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

Industrial information technologies


2019 IEEE 58th 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, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) 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).


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Decision Making

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Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


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Most published Xplore authors for Decision Making

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Xplore Articles related to Decision Making

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Multi-criterial Decision-Making and the Cognitive Architecture of Problem Solving

2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2007

Summary form only given. Rational decision-making is often modeled as choosing the alternative that maximizes utility for the decision maker. Over the last few decades, much evidence has been produced to demonstrate that human decision-making is subject to irrationalities, such as intransitivity and framing biases. The author seeks an explanation for how these irrationalities arise, specifically, how they relate to ...


Deriving a Ranking From Hesitant Fuzzy Preference Relations Under Group Decision Making

IEEE Transactions on Cybernetics, 2014

In this paper, we explore the ranking methods with hesitant fuzzy preference relations (HFPRs) in the group decision making environments. As basic elements of hesitant fuzzy sets, hesitant fuzzy elements (HFEs) usually have different numbers of possible values. In order to compute or compare HFEs, we have two principles to normalize them, i.e., the α-normalization and the β-normalization. Based on ...


Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff, and Interaction Visualization Processes

2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2007

Summary form only given. The goal of the First IEEE Symposium of Computational Intelligence in Multicriteria Decision Making (MCDM 2007) is to provide a common forum for three scientific communities that have addressed different aspects of the MCDM problem and provided complementary approaches to its solution. The first approach is the search process over the space of possible solutions. We ...


An Agent Formal Model for Autonomous Decision-Making

2012 Fourth International Conference on Multimedia Information Networking and Security, 2012

With the development of artificial intelligence, agent is widely applied to the intelligent system. As the intelligent decision at a higher sense, autonomous decision-making directly affects the intelligent level of intelligent system. In order to improve autonomous decision-making ability of intelligent system, the paper aims to use formal method to research on the process of autonomous decision-making. Combining the feature ...


A New Method for Triangular Fuzzy Number Multiple Attribute Decision Making

2007 Chinese Control Conference, 2007

On the basis of the new distance formula for triangular fuzzy numbers given by the paper, a priority method for triangular fuzzy numbers multiple attribute decision making is given. A new assembly method and decision method are given for triangular fuzzy numbers multiple attribute group decision-making. Finally, a numerical example is given to show its effectiveness and practicability.


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Educational Resources on Decision Making

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IEEE-USA E-Books

  • Multi-criterial Decision-Making and the Cognitive Architecture of Problem Solving

    Summary form only given. Rational decision-making is often modeled as choosing the alternative that maximizes utility for the decision maker. Over the last few decades, much evidence has been produced to demonstrate that human decision-making is subject to irrationalities, such as intransitivity and framing biases. The author seeks an explanation for how these irrationalities arise, specifically, how they relate to the intrinsic nature of problem solving as setting up and searching in problem spaces, guided by knowledge. Even in simple decision-making problems where the alternatives are small in number and clearly specified, problem solving is required to evaluate the alternatives. One source of the explanation of the irrationalities is the characteristic strategies that are used to evaluate the alternatives. When decision-making problems are complex, additional opportunities arise for sub- optimal decisions. The author also attempts to relate the traditional decision-making model of maximizing a single real-valued utility function to the common situation where decision-making is modeled as multi-criterial. The author ends with some ideas for how decision support system designers can use the analysis to reduce the opportunities for irrationalities

  • Deriving a Ranking From Hesitant Fuzzy Preference Relations Under Group Decision Making

    In this paper, we explore the ranking methods with hesitant fuzzy preference relations (HFPRs) in the group decision making environments. As basic elements of hesitant fuzzy sets, hesitant fuzzy elements (HFEs) usually have different numbers of possible values. In order to compute or compare HFEs, we have two principles to normalize them, i.e., the α-normalization and the β-normalization. Based on the α-normalization, we develop a new hesitant goal programming model to derive priorities from HFPRs. On the basis of the β-normalization, we develop the consistency measures of HFPRs, establish the consistency thresholds to measure whether or not an HFPR is of acceptable consistency, and then use the hesitant aggregation operators to aggregate preferences in HFPRs to obtain the ranking results.

  • Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff, and Interaction Visualization Processes

    Summary form only given. The goal of the First IEEE Symposium of Computational Intelligence in Multicriteria Decision Making (MCDM 2007) is to provide a common forum for three scientific communities that have addressed different aspects of the MCDM problem and provided complementary approaches to its solution. The first approach is the search process over the space of possible solutions. We must perform efficient searches in multi- (or sometimes many-) dimensional spaces to identify the non-dominated solutions that compose the Pareto set. This search is driven by the solution evaluations, which might be probabilistic, stochastic, or imprecise, rather than deterministic. The second approach is the preference tradeoff process. We need to elicit, represent, evaluate, and aggregate the decision-maker's preferences to select a single solution (or a small subset of solutions) from the Pareto set. These preferences may be ill defined, and state or time-dependent rather than constant values. The aggregation mechanism may be as simple as a linear combination or as complex as a knowledge-driven model. The third approach is the interactive visualization process, which enables progressive decisions. We often want to embed the decision-maker in the solution refinement and selection loop. To this end, we need to show the impacts that intermediate tradeoffs in one sub-space could have in the other ones, while allowing him/her to retract or modify any intermediate steps to strike appropriate tradeoff balances. Given this perspective, we believe that MCDM resides in the intersections of these approaches

  • An Agent Formal Model for Autonomous Decision-Making

    With the development of artificial intelligence, agent is widely applied to the intelligent system. As the intelligent decision at a higher sense, autonomous decision-making directly affects the intelligent level of intelligent system. In order to improve autonomous decision-making ability of intelligent system, the paper aims to use formal method to research on the process of autonomous decision-making. Combining the feature of autonomous decision-making and agent formal method, the paper puts forward an agent model for autonomous decision-making, namely-ADAM(Autonomous Decision-making Agent Model). The model mainly includes five parts: data pretreatment, decision- making response, decision-making execution, decision-making evaluation and learning feedback. Then the paper gives the formal description of ADAM, which realizes formal analysis for the process of autonomous decision-making. Finally, the paper points out the realized critical point of the model and preliminary demonstrates validity of the model.

  • A New Method for Triangular Fuzzy Number Multiple Attribute Decision Making

    On the basis of the new distance formula for triangular fuzzy numbers given by the paper, a priority method for triangular fuzzy numbers multiple attribute decision making is given. A new assembly method and decision method are given for triangular fuzzy numbers multiple attribute group decision-making. Finally, a numerical example is given to show its effectiveness and practicability.

  • IEE Colloquium on Computer Mediated Complex Supervisory and Decision Making in Teams (Digest No.97/137)

    None

  • The Decision-making Method on the Probability Decision-making Space Based on SPA Probability Lattice Ordered Structure

    In decision-making process, as the uncertain decision-making state is influenced by the probability of events, and the method of set pair analysis is connected to the probability expression system, the SPA (Set Pair Analysis) relation function probability lattice ordered structure on the probability decision making space (omega, A, P) is defined; and based on which the decision-making method on the probability decision-making space is given. The validity is validated by an example and a new decision-making method is proposed for the lattice ordered decision making on the probability decision- making space(omega, A, P) .

  • Tools and Techniques for Managing Many-Criteria Decision-Making

    Summary form only given. Design problems arising in business and industry can often be conveniently formulated as multi-criteria decision-making problems. However, these often comprise a relatively large number of criteria. Through our close association with designers in industry and business we have devised a range of machine learning tools and associated techniques to address the special requirements of many-criteria decision-making. These include visualisation and analysis tools to aid the identification of features such as "hot-spots" and non-competing criteria, preference articulation techniques to assist in interrogating the search region of interest and methods to address the special computational demands of these problems. With the aid of test problems and real design exercises, we will demonstrate these approaches and also discuss alternative methods

  • Modelling bipolar multicriteria decision making

    In this paper we revisit some classical multicriteria decision making aid models in order to stress the presence of dual concepts, which will be consistent with Bipolar Fuzzy Sets (sometimes called Atanassov's Intuitionistic Fuzzy Sets). In addition, we point out how such a dual approach is a non necessary binary heritage, so we can conclude how relevant in practice are decision aid models based in linguistic terms.

  • Dynamic Evolution Analysis of Power Market Based on Heterogeneous Behavioral Decision-Making

    In order to simulate the dynamic of bid accurately, power generation companies select behavioral decision-making from a finite set of different behavioral decision-makings. Each generation company has taken the probability of decision-making behavior depending on the profits of power generation companies. Using more sophisticated decision-makings may require extra information costs. The selected probability of behavioral decision-making is from the replicator of dynamic equation. We consider a typical example where two nodes choose between two decision-makings: the bounded rationality decision-making and the best-reply decision-making. From the figure simulation we can see that the best-reply decision-making can not be out of the bounded rationality decision-making. Under certain conditions, generation companies would give priority to select the bounded rationality decision-making.



Standards related to Decision Making

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No standards are currently tagged "Decision Making"