This paper proposes an innovative procedure of finding efficient facility location–allocation (FLA) schemes, integrating data envelopment analysis (DEA) and a multi-objective programming (MOP) model methodology. FLA decisions provide a basic foundation for designing efficient supply chain network in many practical applications. The procedure proposed in this paper would be applied to the FLA pr...

Decision tree learning can be roughly classified into two categories: static and incremental inductions. Static tree induction applies greedy search in splitting test for obtaining a global optimal model. Incremental tree induction constructs a decision model by analyzing data in short segments; during each segment a local optimal tree structure is formed. Very Fast Decision Tree [4] is a typic...

We propose a multi-objective optimization based on the cost sensitive decision tree building method. The misclassification cost, test cost, waiting time cost and information gain rate as four optimization goals by using the method of linear weighting are adopted to transfer the multiobjective optimization problem into a single objective optimization problem, as the splitting attribute selection...

This short paper details research in progress that presents a Multi-Objective Decision Model for assessing Information Systems Risks. The decision model is based on the values and perceptions of stakeholders. It uses the Value-Focused Thinking approach, as opposed to the predominant Alternative-Focused Thinking. The objectives serve as a basis for decision making in the context of Information S...

In this paper, a bi-objective multi-product single-vendor single-buyer supply chain problem is studied under green vendor-managed inventory (VMI) policy based on the economic production quantity (EPQ) model. To bring the model closer to real-world supply chain, four constraints of model including backordering cost, number of orders, production budget and warehouse space are considered stochasti...

This study proposes a solution to prevent urban waterlogging, challenging environmental issue, by integrating waterlogging prediction and drainage optimization schemes based on cellular automaton multi-objective theories. An model for uncertain flow was constructed considering surface fragmentation space complexity. For dynamic simulation, outputs of water depth flooded areas were projected wit...

Microgrid implementation often lacks economic and environmental efficiencies due to sub-optimal configuration operation. The current study aims explore the optimal operational strategies for a microgrid system with maximum life cycle co-benefits. This was inspired by real optimization need Shoals Marine Laboratory, seasonal marine teaching research field station on Appledore Island, Maine. A dy...