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Advances in Intelligent and Soft Computing
This paper presents a probabilistic model for linguistic multi-expert decision making (MEDM), which is able to deal with vague concepts in linguistic aggregation and decision-makers' preference information in choice function. In linguistic aggregation phase, the vagueness of each linguistic judgement is captured by a possibility distribution on a set of linguistic labels. A confidence parameter is also incorporated into the basic model to model experts' confidence degree. The basic idea of thisdoi:10.1007/978-3-642-11960-6_26 dblp:conf/ium/YanHN10 fatcat:3wetngt4s5cgxkayt5sfobt4ky