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Systems, Man and Cybernetics, IEEE Transactions on

Issue 5 • Date Sept. 1974

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Displaying Results 1 - 20 of 20
  • [Table of contents]

    Page(s): c1
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  • IEEE Systems, Man, and Cybernetics Society

    Page(s): c2
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  • Toward Interpretation of Complex Structural Models

    Page(s): 405 - 417
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    The interpretation of complex structural models is facilitated by a variety of operations that can be carried out by a computer. Several of these involve partitions on a reachability matrix, which describes a contextual relation among the elements of the system under study. When partitioning of the reachability matrix in various ways does not permit adequate interpretation, cycles are usually the source of difficulty. A weighting matrix applied to the elements of a maximal cycle set permits a set of digraphs to be developed, which allows for more detailed interpretation of a cycle. When still further development is needed, the maximal cycle sets can be identified and placed in a hierarchy based on an inclusion relation. This hierarchy suggests a natural order of study of the system proceeding from the least complex maximal cycle sets to the most complex sets. View full abstract»

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  • Path Analysis in Systems Science

    Page(s): 418 - 424
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    Typical areas with which systems science is concerned, such as biological, behavioral, and social processes, transportation, urban and environmental studies, involve the development of mathematical models of the underlying processes. In general, the observed data of the variables associated with these processes provide the statistical description of these variables. It is of considerable importance to infer the functional relationship between these variables using their statistical description. Models that depict the functional relationship between the variables are known as causal models. The application of path analysis to the development of causal models, which are useful in systems science, is discussed. Path analysis is described and illustrated with examples. The usefulness of path analysis to systems engineers involved in the development of information systems is pointed out. View full abstract»

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  • A Discrete Dynamic Model with Distributed Transport Delays and Its Hierarchical Optimization for Preserving Stream Quality

    Page(s): 424 - 431
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    A discrete dynamic model of multidimensional high-order difference equations is described for the dynamics of biochemical oxygen demand (BOD) and dissolved oxygen (DO) in a multiple-reach river system. The high-order difference equations represent the distributed transport delays between the adjacent reaches in the river to allow for the effects of dispersion of BOD and DO. A hierarchical optimization technique, which is based on duality and decomposition, is applied to the high-order discrete dynamic model having state and control constraints for minimizing the deviation of water quality from the desired level. It is shown that the distributed delay model is the most realistic one by comparing the responses for no delay, pure delay, and distributed delay models. By solving a 4-reach problem it is also shown that the hierarchical optimization technique is a powerful tool for optimizing fairly large dimensional discrete dynamic systems having distributed transport delays and state and control constraints. View full abstract»

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  • On the Mathematical Theory of Interaction in Social Groups

    Page(s): 432 - 445
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    Sociology is an area in which there are a great many verbal propositions concerning the behavior of human groups under various conditions. If we accept the fact that it makes sense to discuss and analyze social phenomena in terms of quantities that are not precisely defined in a mathematical sense (such as the levels of joint activity, interaction, and friendliness associated with a group), then it would seem worthwhile to consider what conclusions can be drawn from the nature and gross quantitative properties of sets of relations that appear to be translations of sets of verbal propositions into the language of mathematics. Here we consider this question in some detail for a particular type of set of verbal propositions. View full abstract»

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  • Modeling of Human Operator Performance Utilizing Time Series Analysis

    Page(s): 446 - 458
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    A new method for modeling the human operator from actual input-output data utilizing time series analysis is discussed in this applications oriented paper. The technique first identifies the form of the model, then estimates the parameters of the identified model based on actual data. Finally it checks the fitted model in relation to the data with the aim of revealing model inadequacies, thus providing model improvement. The methodology for applying the time series technique for determining the model of the human element in a feedback system is discussed. In addition, an approach for determining the human model under various levels of stress is discussed. The time series approach is a useful method for modeling any set of discrete observables corrupted with noise, be it human or some other deterministic/stochastic process. Since this is the first time that the human model has ever been obtained from the time series method, it is quite understandable that the results described shed new light on certain aspects of this problem, reveal new insights into the human model, and ask other probing questions. View full abstract»

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  • Algorithms for Constructing Hierarchical Graphs

    Page(s): 459 - 461
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  • Optimal Approximation of a Decision Law in a Supervised Learning System

    Page(s): 461 - 465
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  • On the Asymptotic Performances of Finite-State Two-Armed Bandit Controllers

    Page(s): 465 - 467
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  • Texture Coarseness: Further Experiments

    Page(s): 467 - 472
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  • Fuzzy Chains

    Page(s): 472 - 475
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  • An Algorithm for Spoken Sentence Recognition and Its Application to the Speech Input-Output System

    Page(s): 475 - 479
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  • Weighted Adaptive Algorithms for Estimation of Gaussian Distribution Parameters

    Page(s): 479 - 482
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  • Modes of Control and the Limits of Control Capability for Human Subjects

    Page(s): 482 - 488
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  • A Simple Method for Obtaining Partial Derivatives of Nth Order Transfer Functions

    Page(s): 488 - 492
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  • A Criterion Based on an Information Theoretic Measure for Goodness of Fit between Classifier and Data Base

    Page(s): 492 - 495
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  • Contributors

    Page(s): 496
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  • Information for authors

    Page(s): 496a
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  • IEEE Systems, Man, and Cybernetics Society

    Page(s): 496-b
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