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Fuzzy Sets in Engineering Design and Configuration / Edition 1

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Overview

This work presents some of the most recent research results that apply fuzzy sets to engineering design and configuration problems. These chapters cover the representation and manipulation of imprecise information during the synthesis of new designs and selection of configurations. The authors utilize the mathematics of fuzzy sets to represent information that has not yet been reduced to precise descriptions. In most cases, the mathematics of probability is also used to represent more traditional shastic uncertainties such as uncontrolled manufacturing variations, etc. Presentations on fuzzy optimization and AHP methods are also included. These (fuzzy) set-based methods have particular application to concurrent engineering techniques.
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Editorial Reviews

Booknews
Six contributed chapters cover various aspects of the representation and manipulation of imprecise information during the synthesis of new designs. They cover: modeling imprecision in engineering design, multiple objective design optimization, intelligent systems for configuration problems, management of uncertain information in simultaneous engineering, application of the fuzzy AHP method for assessing alternative production cycles, and a method for personnel selection in concurrent engineering using fuzzy sets. Annotation c. by Book News, Inc., Portland, Or.
From the Publisher
'The editors of this book are to be congratulated for assembling a very cohesive collection of works describing both theoretical issues and practical implementation strategies for the difficult field of design and configuration. This book will make a very useful tool to inspire some creative thinking by engineers attempting to produce efficiencies in their own design processes.'
International Journal of Adaptive Control and Signal Processing, 12:6 (1998)
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Product Details

Table of Contents

List of Figures. List of Tables. Preface. 1. Modeling Imprecision in Engineering Design; E.K. Antonsson, et al. 2. Multiple Objective Design Optimization; A.K. Dhingra. 3. Intelligent Systems for Configuration Problems; H.-J. Sebastian. 4. Management of Uncertain Information in Simultaneous Engineering; W. Eversheim, et al. 5. Application of the Fuzzy AHP Method for Assessing Alternative Production Cycles; M. Weck, et al. 6. A Method for Personnel Selection in Concurrent Engineering Using Fuzzy Sets; J. Stahl. Index.
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