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

Issue 6 • Date Dec. 2007

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Displaying Results 1 - 22 of 22
  • Table of contents

    Publication Year: 2007 , Page(s): C1 - 1433
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  • IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics publication information

    Publication Year: 2007 , Page(s): C2
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  • Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization

    Publication Year: 2007 , Page(s): 1434 - 1445
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (661 KB) |  | HTML iconHTML  

    This paper proposes a novel algorithm for function approximation that extends the standard generalized regression neural network. Instead of a single bandwidth for all the kernels, we employ a multiple-bandwidth configuration. However, unlike previous works that use clustering of the training data for the reduction of the number of bandwidths, we propose a distinct scheme that manages a dramatic b... View full abstract»

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  • Rule Mining and Classification in a Situation Assessment Application: A Belief-Theoretic Approach for Handling Data Imperfections

    Publication Year: 2007 , Page(s): 1446 - 1459
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (571 KB) |  | HTML iconHTML  

    Management of data imprecision and uncertainty has become increasingly important, especially in situation awareness and assessment applications where reliability of the decision-making process is critical (e.g., in military battlefields). These applications require the following: 1) an effective methodology for modeling data imperfections and 2) procedures for enabling knowledge discovery and quan... View full abstract»

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  • Particle Swarm Optimization With Recombination and Dynamic Linkage Discovery

    Publication Year: 2007 , Page(s): 1460 - 1470
    Cited by:  Papers (42)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (586 KB) |  | HTML iconHTML  

    In this paper, we try to improve the performance of the particle swarm optimizer by incorporating the linkage concept, which is an essential mechanism in genetic algorithms, and design a new linkage identification technique called dynamic linkage discovery to address the linkage problem in real-parameter optimization problems. Dynamic linkage discovery is a costless and effective linkage recogniti... View full abstract»

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  • Fuzzy Neural-Based Control for Nonlinear Time-Varying Delay Systems

    Publication Year: 2007 , Page(s): 1471 - 1485
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (727 KB) |  | HTML iconHTML  

    In this paper, a partially known nonlinear dynamic system with time-varying delays of the input and state is approximated by fuzzy-based linear subsystems described by a state-space model with average delay. To shape the response of the closed-loop system, a set of fuzzy reference models is established. Similarly, the same fuzzy sets of the system rule are employed to design a fuzzy neural-based c... View full abstract»

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  • Robot Navigation in Cluttered 3-D Environments Using Preference-Based Fuzzy Behaviors

    Publication Year: 2007 , Page(s): 1486 - 1499
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1551 KB) |  | HTML iconHTML  

    Autonomous navigation systems for mobile robots have been successfully deployed for a wide range of planar ground-based tasks. However, very few counterparts of previous planar navigation systems were developed for 3-D motion, which is needed for both unmanned aerial and underwater vehicles. A novel fuzzy behavioral scheme for navigating an unmanned helicopter in cluttered 3-D spaces is developed.... View full abstract»

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  • Multiple-Attribute Group Decision Making With Different Formats of Preference Information on Attributes

    Publication Year: 2007 , Page(s): 1500 - 1511
    Cited by:  Papers (33)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (289 KB) |  | HTML iconHTML  

    Interval utility values, interval fuzzy preference relations, and interval multiplicative preference relations are three common uncertain-preference formats used by decision-makers to provide their preference information in the process of decision making under fuzziness. This paper is devoted in investigating multiple-attribute group-decision-making problems where the attribute values are not prec... View full abstract»

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  • High-Fidelity Bilateral Teleoperation Systems and the Effect of Multimodal Haptics

    Publication Year: 2007 , Page(s): 1512 - 1528
    Cited by:  Papers (37)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1452 KB) |  | HTML iconHTML  

    In master-slave teleoperation applications that deal with a delicate and sensitive environment, it is important to provide haptic feedback of slave/environment interactions to the user's hand as it improves task performance and teleoperation transparency (fidelity), which is the extent of telepresence of the remote environment available to the user through the master-slave system. For haptic teleo... View full abstract»

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  • Rough Set Based Generalized Fuzzy C -Means Algorithm and Quantitative Indices

    Publication Year: 2007 , Page(s): 1529 - 1540
    Cited by:  Papers (29)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (755 KB) |  | HTML iconHTML  

    A generalized hybrid unsupervised learning algorithm, which is termed as rough-fuzzy possibilistic C-means (RFPCM), is proposed in this paper. It comprises a judicious integration of the principles of rough and fuzzy sets. While the concept of lower and upper approximations of rough sets deals with uncertainty, vagueness, and incompleteness in class definition, the membership function of fuzzy set... View full abstract»

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  • Hierarchical Incremental Path Planning and Situation-Dependent Optimized Dynamic Motion Planning Considering Accelerations

    Publication Year: 2007 , Page(s): 1541 - 1554
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1469 KB) |  | HTML iconHTML  

    This paper studies a hierarchical approach for incrementally driving a nonholonomic mobile robot to its destination in unknown environments. The algorithm is modified to handle a map containing unknown information. Based on it, optimal (discrete) paths are incrementally generated with a periodically updated map. Next, accelerations in varying velocities are taken into account in predicting the rob... View full abstract»

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  • Real-Time Image Restoration for Iris Recognition Systems

    Publication Year: 2007 , Page(s): 1555 - 1566
    Cited by:  Papers (26)  |  Patents (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1175 KB) |  | HTML iconHTML  

    In the field of biometrics, it has been reported that iris recognition techniques have shown high levels of accuracy because unique patterns of the human iris, which has very many degrees of freedom, are used. However, because conventional iris cameras have small depth-of-field (DOF) areas, input iris images can easily be blurred, which can lead to lower recognition performance, since iris pattern... View full abstract»

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  • Self-Organizing Neural Architectures and Cooperative Learning in a Multiagent Environment

    Publication Year: 2007 , Page(s): 1567 - 1580
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (584 KB) |  | HTML iconHTML  

    Temporal-difference-fusion architecture for learning, cognition, and navigation (TD-FALCON) is a generalization of adaptive resonance theory (a class of self-organizing neural networks) that incorporates TD methods for real-time reinforcement learning. In this paper, we investigate how a team of TD-FALCON networks may cooperate to learn and function in a dynamic multiagent environment based on min... View full abstract»

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  • Idiotypic Immune Networks in Mobile-Robot Control

    Publication Year: 2007 , Page(s): 1581 - 1598
    Cited by:  Papers (14)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (903 KB) |  | HTML iconHTML  

    Jerne's idiotypic-network theory postulates that the immune response involves interantibody stimulation and suppression, as well as matching to antigens. The theory has proved the most popular artificial immune system (AIS) model for incorporation into behavior-based robotics, but guidelines for implementing idiotypic selection are scarce. Furthermore, the direct effects of employing the technique... View full abstract»

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  • A Multiple Maximum Scatter Difference Discriminant Criterion for Facial Feature Extraction

    Publication Year: 2007 , Page(s): 1599 - 1606
    Cited by:  Papers (15)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (828 KB) |  | HTML iconHTML  

    Maximum scatter difference (MSD) discriminant criterion was a recently presented binary discriminant criterion for pattern classification that utilizes the generalized scatter difference rather than the generalized Rayleigh quotient as a class separability measure, thereby avoiding the singularity problem when addressing small-sample-size problems. MSD classifiers based on this criterion have been... View full abstract»

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  • Max-Product Algorithms for the Generalized Multiple-Fault Diagnosis Problem

    Publication Year: 2007 , Page(s): 1607 - 1621
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (366 KB) |  | HTML iconHTML  

    In this paper, we study the application of the max-product algorithm (MPA) to the generalized multiple-fault diagnosis (GMFD) problem, which consists of components (to be diagnosed) and alarms/connections that can be unreliable. The MPA and the improved sequential MPA (SMPA) that we develop in this paper are local-message-passing algorithms that operate on the bipartite diagnosis graph (BDG) assoc... View full abstract»

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  • Intelligent Environments (IE'08)

    Publication Year: 2007 , Page(s): 1622
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  • Special issue on model-based diagnosis: facing challenges in real-world applications

    Publication Year: 2007 , Page(s): 1623 - 1624
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  • 2007 Index IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) Vol. 37

    Publication Year: 2007 , Page(s): 1625 - 1643
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  • Special issue on information reuse and integration

    Publication Year: 2007 , Page(s): 1644
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    Freely Available from IEEE
  • IEEE Systems, Man, and Cybernetics Society Information

    Publication Year: 2007 , Page(s): C3
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  • IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics Information for authors

    Publication Year: 2007 , Page(s): C4
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    Freely Available from IEEE

Aims & Scope

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics focuses on cybernetics, including communication and control across humans, machines and organizations at the structural or neural level

 

This Transaction ceased production in 2012. The current retitled publication is IEEE Transactions on Cybernetics.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College