Weight versus reference point multiple criteria decision making methods - analogies and differences
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Summary
It is shown how on the technical level the class of reference point methods can be reduced to the class of weight methods to establish a firm ground for systematic comparison of both classes of methods as well as for hybrid schemes mixing decisional tools specific for each class.
- Type
- article
- Published
- 2003-09-30
- Cited by
- 0
- References
- 14
- Access
- Open access
- OpenAlex
- https://openalex.org/W275839210
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:118300304
Keywords
Computer science, Point (geometry), Statistics, Operations research, Mathematics
References
- Quantitative Pareto Analysis by Cone Separation Technique
- Multiple criteria decision making without optimization
- Nonlinear and unconstrained multiple-objective optimization: Algorithm, computation, and application
- Nonlinear multiobjective optimization
- An interactive MCDM weight space reduction method utilizing a tchebycheff utility function
- Multiple Criteria Optimisation: Theory, Computation and Application
- On the completeness and constructiveness of parametric characterizations to vector optimization problems
- An Interactive Multiple Objective Linear Programming Method for a Class of Underlying Nonlinear Utility Functions
- Dynamic parametric bounds on efficient outcomes in interactive multiple criteria decision making problems
- Proper efficiency and the theory of vector maximization
- Nonlinear Multiobjective Optimization
- PROPER EFFICIENCY AND THE THEORY OF VECTOR MAXIMIZATION
- Reference Point Approaches
- The Use of Reference Objectives in Multiobjective Optimization
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