This paper provides enhancements to a Data Envelopment Analysis (DEA) and Assurance Region (AR) model for a ranked voting system. A transformation of the given data reduces the number of constraints on the weights in the model, thus making it more effective and easier to solve. Another advantage...

The standard goal programming model only allows linear continuous preference functions to be modelled. In this paper methods for formulating other possible preference structures, such as discontinuities and varying penalty levels dependent on the distance from the goals are proposed. Techniques...

The aim of this work is to be a useful instrument for helping finance practitioners on the selection of suitable mutual fund portfolios. The portfolio selection problem is characterized by imprecision and/or vagueness inherent in the required data and more generally, in the context where...

Weighted additive models are well known for dealing with multiple criteria decision making problems. Fuzzy goal programming is a branch of multiple criteria decision making which has been applied to solve real life problems. Several weighted additive models are introduced to handle fuzzy goal...