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Sequential incorporation of imprecise information in multiple criteria decision processes |
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| Affiliation: | 1. University of Barcelona, Barcelona, Spain;2. S&P Global Market Intelligence, New York, USA;3. University of Barcelona, Barcelona, Spain;1. Department of Economic and Management Sciences, Universidad Autónoma de Occidente, Lola Beltrán, Culiacán 80120, México;2. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Portugal;3. Computer Science Research Institute, Ulster University, Newtownabbey, Co. Antrim, Northern Ireland, UK |
| Abstract: | In this paper we deal with multicriteria decision processes and develop tools that permit to ease the task of analysing such models. We provide a methodology to sequentially incorporate imprecise preference information which is given by means of general linear relations in the weighting coefficients. The results presented allow us to evaluate the quality of the information supplied and can be used to reduce the number of irrelevant alternatives to be presented to the decision maker (DM). Several examples based on multiple criteria linear programming illustrate the results of the paper. |
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