Abstract
AbstractUncertainty in logistic networks is commonly handled by probabilistic tools, but sometimes the required statistical information is not available, so the experts of the network take an important role in decision making without statistical information. Some soft computing techniques such as fuzzy sets are useful to represent the knowledge of the experts because they can be combined with optimization models to find a set of possible choices to be taken in different scenarios. In this chapter, we present an application of fuzzy optimization models and methods to a logistic network design problem using linguistic information coming from multiple experts.KeywordsMembership FunctionLogistic NetworkFuzzy OptimizationSoft Computing TechniqueLinguistic LabelThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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