Fuzzy Sets in Engineering Design and Configuration / Edition 1

Fuzzy Sets in Engineering Design and Configuration / Edition 1

by Hans-Jurgen Sebastian
     
 

ISBN-10: 0792398025

ISBN-13: 9780792398028

Pub. Date: 09/30/1996

Publisher: Springer US

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…  See more details below

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.

Product Details

ISBN-13:
9780792398028
Publisher:
Springer US
Publication date:
09/30/1996
Series:
International Series in Intelligent Technologies, #9
Edition description:
1996
Pages:
282
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

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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