Kin Keung Lai

TL;DR: The use of SA is a new attempt to effectively explore the large search space usually associated with classification problems, and to find the optimal set of 'if-then' rules to develop accurate classifiers for credit scoring problems.

TL;DR: In this article, an algorithm based on a dynamic programming model is developed so as to find the optimal transportation arrangements referring to the composition of the vehicles as well as the routing of these vehicles.

TL;DR: Investigating the operational decisions and contract preference in a supply chain with one supplier and two competing retailers that are subject to Inventory inaccuracy shows that inventory inaccuracy plays an important role in determining the retailers’ equilibrium order quantities and retail prices, and the supplier’s wholesale (consignment) price.

TL;DR: The method can not only reduce the computational complexity by considering equality constraints instead of inequalities for the classification problem with a formulation in least squares sense, but also increase the training algorithm's generalization ability by treating each training sample as being both a possible good and bad customer and considering bilateral-weighted classification errors.

TL;DR: First the interval data to describe all experts’ evaluation on all suppliers are formulated and then a stochastic multicriteria acceptability analysis (SMAA-2) is applied to provide a full rank of all candidate suppliers.