Fuzzy multi-objective programming application for time-cost trade-off of CPM in project management
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
A generalized bi-criteria fuzzy integer flow sharing problem
International Journal of Approximate Reasoning
Modeling uncertainty in networks
Mathematical and Computer Modelling: An International Journal
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Recent advances in network based mathematical programming methods have given rise to practical, economical, and computationally efficient solution methodologies for truly large-scale problems. Today, a wide variety of real world problems have been solved in such a manner even though, on the surface, they do not have an apparent network structure. One type of network, the generalized network, has been successfully applied to solve large-scale zero-one or mixed integer mathematical programming models. However, one drawback to such approaches is their typical focus on but a single objective. The purpose of this paper then is to document the results of an ongoing research effort which combines the generalized network concept with the technique of fuzzy programming. The resultant, hybrid approach has been found to provide a computationally efficient approach to multi-objective zero-one (or integer) programming problems.