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

Issue 3 • Date Jun 1999

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Displaying Results 1 - 14 of 14
  • Genetic K-means algorithm

    Publication Year: 1999 , Page(s): 433 - 439
    Cited by:  Papers (184)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (180 KB)  

    In this paper, we propose a novel hybrid genetic algorithm (GA) that finds a globally optimal partition of a given data into a specified number of clusters. GA's used earlier in clustering employ either an expensive crossover operator to generate valid child chromosomes from parent chromosomes or a costly fitness function or both. To circumvent these expensive operations, we hybridize GA with a cl... View full abstract»

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  • Fuzzy relational compression

    Publication Year: 1999 , Page(s): 407 - 415
    Cited by:  Papers (23)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1400 KB)  

    This study concentrates on fuzzy relational calculus regarded as a basis of data compression. In this setting, images are represented as fuzzy relations. We investigate fuzzy relational equations as a basis of image compression. It is shown that both compression and decompression (reconstruction) phases are closely linked with the way in which fuzzy relational equations are being usually set and s... View full abstract»

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  • Fuzzy logic control synthesis without any rule base

    Publication Year: 1999 , Page(s): 459 - 466
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (260 KB)  

    A new analytic fuzzy logic control (FLC) system synthesis without any rule base is proposed. For this purpose the following objectives are preferred and reached: 1) an introduction of a new adaptive shape of fuzzy sets and a new adaptive distribution of input fuzzy sets, 2) a determination of an analytic activation function for activation of output fuzzy sets, instead of using of min-max operators... View full abstract»

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  • Learning in multilevel games with incomplete information. II

    Publication Year: 1999 , Page(s): 340 - 349
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (276 KB)  

    Multilevel games are abstractions of situations where decision makers are distributed in a network environment. In Part I of this paper, the authors present several of the challenging problems that arise in the analysis of multilevel games. In this paper a specific set up is considered where the two games being played are zero-sum games and where the decision makers use the linear reward-inaction ... View full abstract»

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  • Learning in multilevel games with incomplete information. I

    Publication Year: 1999 , Page(s): 329 - 339
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (272 KB)  

    A model is presented of learning automata playing stochastic games at two levels. The high level represents the choice of the game environment and corresponds to a group decision. The low level represents the choice of action within the selected game environment. Both of these decision processes are affected by delays in the information state due to inherent latencies or to the delayed broadcast o... View full abstract»

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  • Dynamic fuzzy control of genetic algorithm parameter coding

    Publication Year: 1999 , Page(s): 426 - 433
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (152 KB)  

    An algorithm for adaptively controlling genetic algorithm parameter (GAP) coding using fuzzy rules is presented. The fuzzy GAP coding algorithm is compared to the dynamic parameter encoding scheme proposed by Schraudolph and Belew. The performance of the algorithm on a hydraulic brake emulator parameter identification problem is investigated. Fuzzy GAP coding control is shown to dramatically incre... View full abstract»

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  • A fuzzy Petri net-based expert system and its application to damage assessment of bridges

    Publication Year: 1999 , Page(s): 350 - 370
    Cited by:  Papers (29)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2632 KB)  

    In this paper, a fuzzy Petri net approach to modeling fuzzy rule-based reasoning is proposed to bring together the possibilistic entailment and the fuzzy reasoning to handle uncertain and imprecise information. The three key components in our fuzzy rule-based reasoning-fuzzy propositions, truth-qualified fuzzy rules, and truth-qualified fuzzy facts-can be formulated as fuzzy places, uncertain tran... View full abstract»

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  • Design of fuzzy controllers with adaptive rule insertion

    Publication Year: 1999 , Page(s): 389 - 397
    Cited by:  Papers (8)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (184 KB)  

    In this paper, an approach of designing adaptive fuzzy controllers is presented to systematically develop efficient and effective rules for fuzzy controllers. The proposed fuzzy controllers are first designed with two basic fuzzy if-then rules. Then according to the design requirements of the fuzzy control system, new fuzzy if-then rules are inserted into the rule-base structure of the fuzzy contr... View full abstract»

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  • Analysis of direct action fuzzy PID controller structures

    Publication Year: 1999 , Page(s): 371 - 388
    Cited by:  Papers (58)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (416 KB)  

    The majority of the research work on fuzzy PID controllers focuses on the conventional two-input PI or PD type controller proposed by Mamdani (1974). However, fuzzy PID controller design is still a complex task due to the involvement of a large number of parameters in defining the fuzzy rule base. This paper investigates different fuzzy PID controller structures, including the Mamdani-type control... View full abstract»

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  • Extracting fuzzy control rules from experimental human operator data

    Publication Year: 1999 , Page(s): 398 - 406
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (232 KB)  

    This paper proposes an approach where the interpretation of manual control strategies is carried out by modeling the human operator as a fuzzy logic controller. The linguistic rules thus obtained can provide a better insight into the operator's actions, allowing mistakes to be more easily pinpointed and corrected. Instead of extracting the control rules directly from raw experimental data, an inte... View full abstract»

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  • A connectionist approach to generating oblique decision trees

    Publication Year: 1999 , Page(s): 440 - 444
    Cited by:  Papers (12)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (96 KB)  

    Neural networks and decision tree methods are two common approaches to pattern classification. While neural networks can achieve high predictive accuracy rates, the decision boundaries they form are highly nonlinear and generally difficult to comprehend. Decision trees, on the other hand, can be readily translated into a set of rules. In this paper, we present a novel algorithm for generating obli... View full abstract»

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  • Obstacle avoidance for autonomous land vehicle navigation in indoor environments by quadratic classifier

    Publication Year: 1999 , Page(s): 416 - 426
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (896 KB)  

    A vision-based approach to obstacle avoidance for autonomous land vehicle (ALV) navigation in indoor environments is proposed. The approach is based on the use of a pattern recognition scheme, the quadratic classifier, to find collision-free paths in unknown indoor corridor environments. Obstacles treated in this study include the walls of the corridor and the objects that appear in the way of ALV... View full abstract»

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  • Constructing neural networks for multiclass-discretization based on information entropy

    Publication Year: 1999 , Page(s): 445 - 453
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (332 KB)  

    Cios and Liu (1992) proposed an entropy-based method to generate the architecture of neural networks for supervised two-class discretization. For multiclass discretization, the inter-relationship among classes is reduced to a set of binary relationships, and an independent two-class subnetwork is created for each binary relationship. This two-class-based method ends up with the disability of shari... View full abstract»

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  • Robust neural adaptive stabilization of unknown systems with measurement noise

    Publication Year: 1999 , Page(s): 453 - 459
    Cited by:  Papers (21)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (212 KB)  

    In this paper, we consider the problem of adaptive stabilizing unknown nonlinear systems whose state is contaminated with external disturbances that act additively. A uniform ultimate boundedness property for the actual system state is guaranteed, as well as boundedness of all other signals in the closed loop. It is worth mentioning that the above properties are satisfied without the need of knowi... View full abstract»

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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