A method of multiobjective decision making using a vector value function
A decision situation with partial information on preferences by means of a vector value function is assumed. The concept of minimum value dispersion solution as a reference point joined with a pseudodistance function from such a point and a dispersion level ε, lead to the notion of ε-dispersion set....
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 1994 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099/4047 |
| Acceso en línea: | https://hdl.handle.net/2099/4047 |
| Access Level: | acceso abierto |
| Palabra clave: | Mathematical programming Operations research Multiobjective decision making Vector value function Efficient set Partial information on preferences Programació (Matemàtica) Investigació operativa Classificació AMS::90 Operations research, mathematical programming::90B Operations research and management science Classificació AMS::90 Operations research, mathematical programming::90C Mathematical programming |
| Sumario: | A decision situation with partial information on preferences by means of a vector value function is assumed. The concept of minimum value dispersion solution as a reference point joined with a pseudodistance function from such a point and a dispersion level ε, lead to the notion of ε-dispersion set. The dispersion level represents the amount of value that the decision maker can be indifferent to, therefore he should choose his most preferred solution in this set. Convergence properties, as well as an interactive method based on the reduction of ε-sets by means of parametric variation of ε, to aid decision making in discrete problems is considered. Detailed numerical examples are included. |
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