Inferring an ELECTRE TRI Model from Assignment Examples
Journal of Global Optimization
Multiple criteria classification with an application in water resources planning
Computers and Operations Research
Regularized estimation for preference disaggregation in multiple criteria decision making
Computational Optimization and Applications
An interactive sorting method for additive utility functions
Computers and Operations Research
A favorable weight-based evolutionary algorithm for multiple criteria problems
IEEE Transactions on Evolutionary Computation
A territory defining multiobjective evolutionary algorithms and preference incorporation
IEEE Transactions on Evolutionary Computation
A preference ordered classification for a multi-objective max-min redundancy allocation problem
Computers and Operations Research
Multi-criteria inventory classification with reference items
Computers and Industrial Engineering
| Hi-index | 0.06 |
In this study, a Tchebycheff utility function based approach is proposed for multiple criteria sorting problems in order to classify alternatives into ordered categories, such as A, B, C, etc. Since the Tchebycheff function has the ability to reach efficient alternatives located even in the non-convex part of the efficient frontier, it is used in the proposed sorting approach to prevent such alternatives being disadvantages. If the preferences of the DM are not exactly known, each alternative selects its own favorable weights for a weighted Tchebycheff distance function. Then, each alternative is compared with the reference alternatives of a class to compute its strength over them. The average strengths are later used to categorize the alternatives. The experimental analysis results on the performance of the algorithm are presented.