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- W35057100 abstract "The Analytic Hierarchy Process (AHP) is one of the most used techniques for decision making. The complex properties of its structure allow considering the subjectivity in the judgment of the experts but also arising a considerable degree of inconsistency when the pairwise judgments of the alternatives are computed. This research paper makes a comparison between two artificial intelligence methods for diminishing the inconsistency in the AHP pairwise comparison matrixes, the Backpropagation Neural Network (BPN) and Support Vector Machines (SVM)." @default.
- W35057100 created "2016-06-24" @default.
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- W35057100 date "2014-01-01" @default.
- W35057100 modified "2023-09-27" @default.
- W35057100 title "Comparative Analysis of AI Techniques to Correct the Inconsistency in the Analytic Hierarchy Process Matrix" @default.
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