Supplier evaluation is an important problem in industrial management. An accurate evaluation can reduce the costs and increase the quality of products. There are various studies for evaluation of suppliers. However, this problem has been complicated by uncertain data and multiple criteria. In this study we develop a Fuzzy Inference System (FIS) to deal with uncertain data and evaluate suppliers...

Decision-making in emergency response situations can be supported by location-based information. However, current location-based services do not usually provide mechanisms to deal with conflicting information. To address this limitation, multi-criteria evaluation methods recently have been implemented in mobile geographic information systems. This paper describes an emergency response scenario ...

Evaluation of classifiers and supervised learning algorithms has historically been done by estimating predictive accuracy via cross-validation tests or similar methods. More recently, ROC analysis has been shown to be a good alternative. However, the characteristics can vary greatly for different domains and it has been shown that different evaluation methods are appropriate for different probl...

Abstract The focus on the expansion of electrification vehicles becomes stronger. Thus, development process powertrains those cars needs to be more dynamic react new challenges. One way accelerate is automate predevelopment and evaluation at an early stage. An automated method synthesize transmission topologies pre-design gears for generated electric presented within this paper. contains two in...