Fuzzy applications in industrial engineering

Author(s)

    • Kahraman, Cengiz

Bibliographic Information

Fuzzy applications in industrial engineering

Cengiz Kahraman (ed.)

(Studies in fuzziness and soft computing, v. 201)

Springer, c2006

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Note

Includes bibliographical references

Description and Table of Contents

Description

After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.

Table of Contents

Applications of Fuzzy Sets in Industrial Engineering: A Topical Classification.- Applications of Fuzzy Sets in Industrial Engineering: A Topical Classification.- Fuzzy Control Techniques and Reliability in Industry.- Design of Fuzzy Process Control Charts for Linguistic and Imprecise Data.- Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System.- A Study of 3-gene Regulation Networks Using NK-Boolean Network Model and Fuzzy Logic Networking.- Optimizing Nuclear Reactor Operation Using Soft Computing Techniques.- Fuzzy Engineering Economics and Investment Analysis Techniques.- Applications of Fuzzy Capital Budgeting Techniques.- Fuzzy Capital Budgeting: Investment Project Evaluation and Optimization.- Option Pricing Theory in Financial Engineering from the Viewpoint of Fuzzy Logic.- Fuzzy Group and Multi-criteria Decision-making Techniques.- A Multi-granular Linguistic Hierarchical Model to Evaluate the Quality of Web Site Services.- Optimization and Decision Making under Interval and Fuzzy Uncertainty: Towards New Mathematical Foundations.- Interval Evaluations in DEA and AHP.- A General Form of Fuzzy Group Decision Making Choice Functions under Fuzzy Preference Relations and Fuzzy Majority.- Fuzzy Techniques in Human Factors Engineering and Ergonomics.- The Application of Neural Fuzzy Approaches to Modeling of Musculoskeletal Responses in Manual Lifting Tasks.- Intelligent Interfaces Based on Fuzzy Logic: Example with a Human-Error-Tolerant Interface Approach.- Estimation of Ease Allowance of a Garment using Fuzzy Logic.- Fuzzy Techniques in Manufacturing Systems and Technology Management.- Intelligent Manufacturing Management.- Metaheuristic Techniques for Job Shop Scheduling Problem and a Fuzzy Ant Colony Optimization Algorithm.- Fuzzy Techniques in Scheduling of Manufacturing Systems.- Fuzzy Optimization Techniques.- Fuzzy Cognitive Mapping for MIS Decision-Making.- Fuzzy Sets based Cooperative Heuristics for Solving Optimization Problems.- Solving a Fuzzy Nonlinear Optimization Problem by an "ad hoc" Multi-objective Evolutionary Algorithm.- Fuzzy Statistical Decision-making Techniques.- Multi Attribute Performance Evaluation Using a Hierarchical Fuzzy TOPSIS Method.- Fuzzy Quantitative Association Rules and Its Applications.- Fuzzy Regression Approaches and Applications.

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Details

  • NCID
    BA77276212
  • ISBN
    • 3540335161
  • Country Code
    gw
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Berlin
  • Pages/Volumes
    xiii, 615 p.
  • Size
    24 cm
  • Classification
  • Parent Bibliography ID
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