Crew scheduling is an important production planning of airlines. Being optimized crew scheduling could make full use of human resources, and reduce operating costs. The traditional airline crew scheduling model is deterministic and does not include potential disruptions due to weather, air traffic control, etc. To take into account of effects of random factors such as weather, air traffic contr...

This paper is concerned with the fuzzy support vector classification, in which both of the type of the output training point and the value of the final fuzzy classification function are triangle fuzzy number. First, the fuzzy classification problem is formulated as a fuzzy chance constrained programming. Then, we transform this programming into its equivalence quadratic programming. Final, a fu...

This paper proposes a chance-constrained multi-objective goal programming model for supplier selection problem with uncertain factors. Considering uncertain factors of demand, capacity and lead time and several objectives, the proposed approach provides chance constraints leading to a order allocation decision-making result. The decision keeps the confidence and risk of constraints to a certain...

This article explores efficient climate policies in terms of investment streams into fossil and renewable energy technologies. The investment decisions maximise social welfare while observing a probabilistic guardrail for global mean temperature rise under uncertain technology and climate parameters. Such a guardrail constitutes a chance constraint, and the resulting optimisation problem is an ...

When designing or upgrading a communication network, operators are faced with a major issue, as uncertainty on communication demands makes it difficult to correctly provision the network capacity. When a probability on traffic matrices is given, finding the cheapest capacity allocation that guarantees, within a prescribed level of confidence, that each arc can support the traffic demands peaks ...