An easily implemented approach to fuzzy system identification is proposed. The proposed approach consists of two phases. The first phase involves a baseline design to effectively identify a prototype fuzzy system for ...
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An easily implemented approach to fuzzy system identification is proposed. The proposed approach consists of two phases. The first phase involves a baseline design to effectively identify a prototype fuzzy system for a target system from a collection of input-output data pairs. This is implemented by incorporating the subtractive clustering method to determine the number of clusters and the fuzzy c-means (FCM) clustering algorithm to build the actual clusters. If the resulting prototype fuzzy system cannot describe the target system appropriately with respect to the input-output data pairs, the second-phase fine-tuning process to adjust the parameters identified in the baseline design is necessary. This process can be realized by using the steepest descent and recursive least-squares estimation methods. The proposed approach is validated by applying it to a function approximation type of problem: the truck backer-upper problem with an obstacle in the center of the field. For further confirmation, the learning behaviour of the proposed approach for this problem is studied.
This paper presents a branch-and-bound enumeration scheme for the makespan minimization of the permutation flow shop scheduling problem with sequence-dependent setup times. The algorithm includes the implementation of...
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This paper presents a branch-and-bound enumeration scheme for the makespan minimization of the permutation flow shop scheduling problem with sequence-dependent setup times. The algorithm includes the implementation of both lower and upper bounding procedures, a dominance elimination criterion, and special features such as a partial enumeration strategy. A computational evaluation of the overall scheme demonstrates the effectiveness of each component. Test results are provided for a wide range of problem instances.
We apply the techniques of response surface methodology (RSM) to approximate the objective function of a two‐stage stochastic linear program with recourse. In particular, the objective function is estimated, in the r...
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Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in nonstationary systems using limited hi...
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Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in nonstationary systems using limited historical data. Stochastic programs, unlike deterministic optimization models, explicitly incorporate distributions for random parameters in the model formulation, and thus have the advantage that the resulting solutions more fully hedge against future contingencies. We exploit the strengths of Bayesian prediction and stochastic programming in a rolling-horizon approach that can be applied to solve real-world problems. We illustrate the methodology on an employee scheduling problem with uncertain up-times of manufacturing equipment and uncertain production rates.
This paper reports on the second component of a three phase study undertaken for the Canada Post Corporation (CPC) to evaluate and select a commercial simulation package to be used for operational and long-term planni...
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This paper reports on the second component of a three phase study undertaken for the Canada Post Corporation (CPC) to evaluate and select a commercial simulation package to be used for operational and long-term planning. The formal evaluation process consisted of a hierarchical screening procedure to identify qualified candidates and the development of a comprehensive benchmark model to test each candidate. Of the 172 simulation packages listed in the Directory of Simulation, only three satisfied each of the CPC's highest priority requirements. Data, mail flows, and processing logic associated with operations at the Hamilton, Ontario plant were used to establish the benchmarks and validate the models. This project represents the first time full-scale models have been constructed in parallel to evaluate graphics-based simulation software. Although several economies of scale were realized, the differences in the three packages meant significant duplication. Nevertheless, the CPC felt that the parallel approach would return benefits in the long run and that it was necessary to arrive at a considered decision. A major aim of this paper is to highlight the methodology used in the analysis and to present the lessons learned from the project. (C) 1997 Elsevier Science Ltd.
作者：
Hafner, ANArnold N. Hafner
Ph.D.:is founder and president of Information Systems Research (ISR). He has twenty-five years of experience in systems development and is published in the field of systems development management. He served as corporate research scientist at Systems Exploration Inc. from 1988 to 1991 program director at Computer Science Corporation from 1983 to 1988director of operations at Republic Management Systems Corporation from 1981 to 1983
and program manager at Computer Science Corporation from 1972 to 1981. A 1962 graduate of the US. Naval Academy he holds a doctoral degree in human behavior and engineering degrees in electronics and communications. He has taught courses on information systems and systems management at most of the colleges in the San Diego area. Dr. Hafner has presented fourteen refereed research papers while publishing sixteen articles and a book A Manager's Guide to Software System Development.
Evaluating complex systems is the subject of this paper, the third in a series investigating prototyping. It provides an interesting and helpful overview of how to evaluate systems prototypes and outlines the iterativ...
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Evaluating complex systems is the subject of this paper, the third in a series investigating prototyping. It provides an interesting and helpful overview of how to evaluate systems prototypes and outlines the iterative stream of developer-user interactions that is replacing older approaches to testing and evaluating new military systems, which promise to reduce the time required to develop and field future military capabilities. Changes to the acquisition process, such as those the paper sketches, will facilitate the nation's rapid transit through its current revolution in military affairs.
The objectives of Human engineering (HE) are generally viewed as increasing human performance, reducing human error, enhancing personnel and equipment safety, and reducing training and related personnel costs. There a...
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The objectives of Human engineering (HE) are generally viewed as increasing human performance, reducing human error, enhancing personnel and equipment safety, and reducing training and related personnel costs. There are other benefits that are thoroughly consistent with the direction of the Navy of the future, chief among these is reduction of required numbers of personnel to operate and maintain Navy ships. The Naval research Advisory Committee (NRAC) report on Man-Machine Technology in the Navy estimated that one of the benefits from increased application of man-machine technology to Navy ship design is personnel reduction as well as improving system availability, effectiveness, and safety The objective of this paper is to discuss aspects of the human engineering design of ships and systems that affect manning requirements, and impact human-performance and safety The paper will also discuss how the application of human engineering leads to improved performance, and crew safety, and reduced workload, all of which influence manning levels. Finally, the paper presents a discussion of tools and case studies of good human engineering design practices which reduce manning.
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