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A general framework for distance-based consensus in ordinal ranking models

✍ Scribed by Wade D. Cook; Moshe Kress; Lawrence M. Seiford

Publisher: Elsevier Science
Year: 1997
Tongue: English
Weight: 444 KB
Volume: 96
Category: Article
ISSN: 0377-2217
DOI: 10.1016/0377-2217(95)00322-3

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## Abstract Parameters in a generalized extreme value (GEV) distribution are specified as a function of covariates using a conditional density network (CDN), which is a probabilistic extension of the multilayer perceptron neural network. If the covariate is time or is dependent on time, then the GE