Issue 1 • Feb 1998
Cited by: Papers (138) | Patents (2)
This article is a reaction to recent publications on rule-based modeling using fuzzy set theory and fuzzy logic. The interest in fuzzy systems has recently shifted from the seminal ideas about complexity reduction toward data-driven construction of fuzzy systems. Many algorithms have been introduced that aim at numerical approximation of functions by rules, but pay little attention to the interpre... View full abstract»
Cited by: Papers (100)
Three questions related to the nearest prototype classifier (NPC) are addressed: when is it better to construct the prototypes instead of selecting them as a subset of the given labeled data; how can we trade classification accuracy for a reduction in the number of prototypes; and how good is pure random search (RS) for selection of prototypes from the data? We compare the resubstitution performan... View full abstract»
Cited by: Papers (1)
Presents a general-purpose procedure to compactly specify probability information and efficiently calculate probability distributions over the outcome evaluation measure for a sequential decision analysis model. Computer code to implement the calculation procedure is presented in the Pascal programming language. Empirical results are reviewed that show that this approach can quickly determine outc... View full abstract»
Cited by: Papers (9) | Patents (1)
Existing models of problem solving address option generation through the use of problem spaces, which are combinatorial elaborations of all possibilities, thereby reducing problem solving to the activity of searching through the problem space. We suggest an alternate view of option generation in which courses of action are constructed from leverage points. We hypothesize that people can use their ... View full abstract»
Cited by: Papers (52)
For the past few decades, programmable logic controllers (PLCs) using relay ladder logic (RLL) programming have been the workhorse for controlling event-driven industrial automated systems. RLL proved to be flexible compared to the hardwired RLL control implementation, due to its feature of software implementation. As automated systems become more complex, they also become more difficult to unders... View full abstract»
Cited by: Papers (23)
Early in the system design process, a design method must be chosen. This choice is usually dictated by what methods the designer has previously used, not by an open selection process. We provide descriptions of some available design methods and examples of their use. We develop benchmark problems that are solved by a variety of design methods and which identify characteristics of problems that mig... View full abstract»
Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate dataPublication Year: 1998, Page(s):39 - 54
Cited by: Papers (188) | Patents (1)
The recent development of more sophisticated remote-sensing systems enables the measurement of radiation in many more spectral intervals than was previously possible. An example of this technology is the AVIRIS system, which collects image data in 220 bands. The increased dimensionality of such hyperspectral data greatly enhances the data's information content, but provides a challenge to the curr... View full abstract»
Cited by: Papers (12)
Presents three novel techniques for enhancing the power of a genetic algorithm (GA) used to design fuzzy systems: a new context-dependent coding (CDC) technique, a simple chromosome reordering operator to maximize efficiency, and the coevolution of controller set tests to force competence in all areas of state space. These measures are shown to lead to a considerable improvement over conventional ... View full abstract»
We consider the problem of estimating the states of a static set of targets, given a collection of densities, each representing the state of a single target. We assume there is no a priori knowledge of which of the given densities represent common targets, but that a prior density for the target locations is available. For a two-dimensional (2-D) location estimation problem, we construct a prior d... View full abstract»
Cited by: Papers (49)
A review of the basic ideas of fuzzy systems modeling is provided. We introduce a hierarchical-type fuzzy systems model called a hierarchical prioritized structure (HPS) and review its structure, operation, and the interlevel aggregation algorithm. We then turn to the issue of constructing the HPS. Consideration is first given to the case in which rules are provided by an expert. Detailed consider... View full abstract»
A system for visualizing the viewpoints of information and its application to intelligent activity supportPublication Year: 1998, Page(s):124 - 136
Cited by: Papers (6)
The authors have built and evaluated several systems to assist creative concept formation by professional engineers and scientists. Through experiments, it has become clear that a system that can reveal different viewpoints automatically is strongly needed by many users to support their creative activities. We are all surrounded by an almost infinite amount of information. If we can elicit differe... View full abstract»
Cited by: Papers (64)
Five methods that generate multiple prototypes from labeled data are reviewed. Then we introduce a new sixth approach, which is a modification of Chang's (1974) method. We compare the six methods with two standard classifier designs: the 1-nearest prototype (1-np) and 1-nearest neighbor (1-nn) rules. The standard of comparison is the resubstitution error rate; the data used are the Iris data. Our ... View full abstract»
Cited by: Papers (30)
A fuzzy algorithm is an ordered set of fuzzy instructions that upon execution yield an approximate solution to a given problem. Two unrelated aspects of fuzzy algorithms are considered in this paper. The first is concerned with the problem of maximization of a reward function. It is argued that the conventional notion of a maximizing value for a function is not sufficiently informative and that a ... View full abstract»
Cited by: Papers (9) | Patents (40)
The base of the engineering sciences must be expanded to the realm of industrial ecosystems, in which discrete technologies are characterized as design and innovation parameters in organized networks of economic production and consumption processes. The objective of industrial ecosystem design and innovation is to deploy resources with minimal risk to the integrity of natural processes of the bios... View full abstract»
Most previous theoretical work on motion planning for a group of robots has addressed the problem of path planning for the individual robots sequentially, in geometrically simple regions of Euclidean space (e.g. a planar region containing polygonal obstacles). In this paper, we define a version of the motion-planning problem in which the robots move simultaneously. We establish conditions under wh... 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.
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