Issue 1 • Feb. 2003
Cited by: Papers (1)
For more than a quarter of a century, Madan G. Singh taught and accomplished seminal research on approaches to better control, manage, and understand complexity in systems. This interdisciplinary work has covered the intersections of the areas of control engineering, systems engineering, applied mathematics, management science, and computer science. His work has been remarkable at both a theoretic... View full abstract»
The IEEE Systems, Man, and Cybernetics Society: historical development, current status, and future perspectivesPublication Year: 2003, Page(s):13 - 23
Cited by: Papers (5)
In the evolution of any professional organization, it is informative and desirable to take stock of what has occurred, and to use this assessment to consider and plan for the future. The IEEE Systems, Man, and Cybernetics (SMC) Society is considered to be the leading professional society in the transdisciplinary area of systems engineering, cybernetics, and human machine systems, and has an intern... View full abstract»
Cited by: Papers (11)
This paper presents the knowledge bounded least squares method that uses both linguistic information (i.e., human knowledge and experience) and numerical data to identify fuzzy models. Based on the concept of fuzzy interval systems, the basic idea of this method is: first, to utilize all the available linguistic information to obtain a fuzzy interval system and then use the obtained fuzzy interval... View full abstract»
Cited by: Papers (70) | Patents (12)
In this paper we propose a fuzzy extension of the analytic network process (ANP) that uses uncertain human preferences as input information in the decision-making process. Instead of the classical Eigenvector prioritization method, employed in the prioritization stage of the ANP, a new fuzzy preference programming method, which obtains crisp priorities from inconsistent interval and fuzzy judgment... View full abstract»
Cited by: Papers (101)
A comprehensive decision support system, GMCR II, is developed for the systematic study of real-world interactive decision problems. Model formulation is presented in Part I, and analysis and output interpretation in Part II. GMCR II is based upon existing and new research developments of the graph model for conflict resolution. In Part I, specially designed data structures and corresponding algor... View full abstract»
A decision support system for interactive decision making - Part II: analysis and output interpretationPublication Year: 2003, Page(s):56 - 66
Cited by: Papers (89)
For pt.I see ibid., p.42-55 (2003). The development of a comprehensive decision support system, GMCR II, for the systematic study of real-world interactive decision problems is presented. The companion paper (Part I), discusses how GMCR II elicits, stores, and manages conflict models; here (Part II), the focus is on GMCR IIs analysis and output interpretation subsystems. Specifically, this paper d... View full abstract»
Cited by: Papers (19)
This paper deals with the real-time regulation of traffic within a disrupted transportation system. We outline the necessity of a decision support system that detects, analyzes, and resolves the unpredicted disturbances. Due to the distributed aspects of transportation systems, we present a multi-agent approach for the regulation process. Moreover, this approach also includes an evolutionary algor... View full abstract»
A decision model for spatial site selection by criminals: a foundation for law enforcement decision supportPublication Year: 2003, Page(s):78 - 85
Cited by: Papers (11)
Crime analysis uses past crime data to predict future crime locations and times. Typically this analysis relies on hot spot models that show clusters of criminal events based on past locations of these events. It does not consider the decision making processes of criminals as human initiated events susceptible to analysis using spatial choice models. This paper analyzes criminal incidents as spati... View full abstract»
Cited by: Papers (7)
Decision support systems gain better performance and higher accuracy by the virtue of building multiresolutional (multigranular, multiscale) representation, and employing multiscale behavior generation subsystem (planning and control). The latter are equipped by devices for unsupervised learning that adjust their functioning to the results of self-identification. We demonstrate that planning and l... View full abstract»
Cited by: Papers (37)
The focus of this paper is on decision making; more specifically, on what decision making requirements are needed in the future. We augur for a decision informatics paradigm; it is a real-time, information-based approach to decision making. The paradigm is supported by two sets of technologies (i.e., information and decision technologies) and underpinned by three disciplines (i.e., data fusion/ana... View full abstract»
Cited by: Papers (30)
Decision support nowadays is more and more targeted to large scale complicated systems and domains. The success of a decision support system relies mainly on its capability of processing large amounts of data and efficiently extracting useful knowledge from the data, especially knowledge which is previously unknown to the decision makers. With a large scale system, traditional knowledge acquisitio... View full abstract»
Cited by: Papers (3)
The focus of this paper is to describe a neural adaptive control (NAC) technology derived using a Lyapunov synthesis technique. The NAC is a nonlinear adaptive controller which requires minimal plant information. It adapts its gains in real time to maintain the desired performance and to automatically compensate for changes in plant dynamics caused by system failures, environmental changes, or com... View full abstract»
Cited by: Papers (6)
Two international exchange programs in engineering between universities in Japan and Canada, are described in order to explain the significant benefits gained by the undergraduate and graduate students, as well as the academic staff who participate, and to highlight key principles generally followed in the design and execution of exchange programs. One notable and successful engineering exchange p... View full abstract»
Aims & Scope
Overview, tutorial and application papers concerning all areas of interest to the SMC Society: systems engineering, human factors and human machine systems, and cybernetics and computational intelligence.
Authors should submit human-machine systems papers to the IEEE Transactions on Human-Machine Systems.
Authors should submit systems engineering papers to the IEEE Transactions on Systems, Man and Cybernetics: Systems.
Authors should submit cybernetics papers to the IEEE Transactions on Cybernetics.
Authors should submit social system papers to the IEEE Transactions on Computational Social Systems.
Meet Our Editors
Dr. Vladimir Marik
(until 31 December 2012)