Overview

This volume prepared by Roman Slowinski and Maciej Hapke is welcome because it is representative of the current state of the art in fuzzy set-based scheduling. Its publication proves that some operational research scientists start to consider fuzzy sets seriously as a bridge for a reconciliation between mathematical modeling and human scheduling practice. A difficulty for the reader of the fuzzy set scheduling literature is to understand the precise role of fuzzy sets in the various published papers. More often than not, the meaning of fuzzy sets remain unclear or must be guessed from the context of the problem. A major contribution of this volume is to try and clarify this issue through a suitable ordering of the papers, telling apart those where fuzzy sets is mainly a matter of representing preference, and those where the problem is one of scheduling under uncertainty.Taken from the foreword by Didier Dubois and Henry Prade

Full Product Details

Author:   Roman Slowinski ,  Maciej Hapke
Publisher:   Physica-Verlag GmbH & Co
Imprint:   Physica-Verlag GmbH & Co
Edition:   illustrated edition
Volume:   v. 37
Weight:   0.576kg
ISBN:  

9783790812497

ISBN 10:   3790812498
Pages:   308
Publication Date:   December 1999
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Temporarily unavailable  
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Table of Contents

Fuzzy Knowledge Representation in Scheduling: I.B. Turksen, M.H.F. Zarandi, M. Dudzic: Caster Scheduling System Analysis with Fuzzy Technology.- M. Litoiu, R. Tadei: Dynamic Scheduling on Distributed Real-Time Systems by Self-Learning Fuzzy Algorithms.- Fuzzy Constraints in Scheduling: H. Fagier, C. Thierry: The Use of Possibilistic Decision Theory in Manufacturing, Planning and Control: Recent Results in Fuzzy Master Production Scheduling.- P. Fortemps: Introducing Flexibility in Scheduling: The Preference Approach.- H. Ishii: Scheduling Problems with Fuzzy Constraints.- H. Ishibuchi, T. Murata: Flowshop Scheduling with Fuzzy Duedate and Fuzzy Processing Time.- Fuzzy Uncertainty in Scheduling: G. Adamopoulos, C.P. Pappis, N.I. Karacapilidis: A Methodology for Solving a Range of Scheduling Problems under Uncertainty.- S. Chanas, A. Kasperski, D. Kuchta: Two Approaches to Fuzzy Flow Shop Problem.- M. Hapke, R. Slowinski: Fuzzy Set Approach to Multi-Objective and Multi-Mode Project Scheduling under Uncertainty.- M. Vlach: Single Machine Scheduling under Fuzziness.- L. Geneste, B. Grabot, P. Moutarlier: Scheduling of Heterogeneous Data Using Fuzzy Logic in a Customer-Subcontractor Context.- N. Kubota, T. Fukuda: Virus-Evolutionary Genetic Algorithm for Sequencing Jobs in Fuzzy Environment.- N.I. Karacapilidis, C.P. Pappis, G. Adamopulos: Fuzzy Set Approaches to Lot Sizing.

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