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| Author: | Dubois, D. Fargier, H. Fortemps, P. |
| Title: | Fuzzy scheduling: modelling flexible constraints vs. coping with incomplete knowledge |
| Journal: | European Journal of Operational Research
2003 : FEB, VOL. 144:3, p. 231-252 |
| Index terms: | Operations management Scheduling Uncertainty |
| Freeterms: | Constraint propagation Fuzzy inervals Possibility theory |
| Language: | eng |
| Abstract: | An overview of some fuzzy set-based approaches to scheduling is proposed, emphasing two distinct uses of fuzzy sets: representing preference profiles and modelling uncertainty distributions. The first setting leads to a valued, noncompensatory generalization of constraint-directed scheduling. The other setting yields a possibility-theoretic counterpart of PERT, where probability distributions of activity durations are changed into possibility distributions, for the purpose of modelling incomplete information. It is pointed out that a special case of the latter, interval-valued PERT, is a difficult, ill-known problem, regarding the determination of critical activities, latest starting times and floats. |
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