Fuzzy Sets in Engineering Design and Configuration

AvHans-Jürgen Sebastian,Erik K. Antonsson

Inbunden, Engelska, 1996

Del i serien International Series in Intelligent Technologies

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Beskrivning

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 stochastic 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.

Produktinformation

Utgivningsdatum:1996-09-30
Mått:155 x 235 x 18 mm
Vikt:603 g
Format:Inbunden
Språk:Engelska
Serie:International Series in Intelligent Technologies
Antal sidor:282
Upplaga:1996
Förlag:Kluwer Academic Publishers
ISBN:9780792398028

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Recensioner i media

'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)

Innehållsförteckning

1 Modeling Imprecision in Engineering Design.- 1 Introduction.- 2 Engineering Design with Imprecision.- 3 Combining Imprecision in Design.- 4 Uncontrollable Variables in Design (Noise).- 5 Hybrid Uncertainty.- 6 A Brake Design Application.- 7 Conclusion.- 2 Multiple Objective Design Optimization.- 1 Introduction.- 2 Problem Statement.- 3 Crisp Approaches for MultiObjective Optimization.- 4 Fuzzy Approaches for MultiObjective Optimization.- 5 Cooperative Fuzzy Games.- 6 Numerical Examples.- 7 Summary.- 3 Intelligent Systems for Configuration Problems.- 1 Intelligent Decision Support Systems for Design and Configuration Tasks.- 2 Modelling Design and Configuration Problems Including Fuzziness.- 3 Description of Applications.- 4 Introduction of KONWERK — a Modular Design and Configuration Tool-Kit.- 5 Solving Applications Using the Integrated Approach of Knowledge Based Techniques with Fuzzy Logic and Fuzzy MCDM.- 6 Summary and Conclusions.- 4 Management of Uncertain Information in Simultaneous Engineering.- 1 Introduction.- 2 Aspects of Modeling Uncertain Information.- 3 Model for a Description of Uncertainties on a Contents Level.- 4 Methodology for a Context Dependent Description of Uncertainties.- 5 Information Model to Describe Uncertainties within the Context.- 6 Early Pass on of Information by Structuring Information.- 7 Application of the Methodology.- 8 Conclusion.- 5 Application of the Fuzzy AHP Method for Assessing Alternative Production Cycles.- 1 Introduction.- 2 Selecting which Assessment Method to Apply.- 3 Methods of Weighting and Assessing Stages of Production.- 4 Assessing Production Cycles.- 5 Example of an Assessment Process.- 6 A Method for Personnel Selection in Concurrent Engineering Using Fuzzy Sets.- 1 Introduction.- 2 Personnel Selection inConcurrent Engineering.- 3 Integrated Personnel Planning in CE.- 4 Hierarchical Structure of KSAOs.- 5 Nominal Criteria.- 6 Metric Criteria.- 7 Determination of Overall Suitability.- 8 Conclusion.