Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
A method for improving the consistency of judgements
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Numerical Methods for Engineers
Numerical Methods for Engineers
Modifying inconsistent comparison matrix in analytic hierarchy process: A heuristic approach
Decision Support Systems
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The Analytic Hierarchy Process (AHP) uses hierarchical structures to arrange comparing criteria and alternatives in order to give support in decision making tasks. The comparisons are realized using pairwise matrices which are filled according to the decision maker criterion. Then, matrix consistency is tested and priorities of alternatives are obtained. If a pairwise matrix is incomplete, two procedures must be realized: first, to complete the matrix with adequate values for missing entries and, second, to improve the consistency matrix to an acceptable level. In this paper a model based on Multi-layer Perceptron (MLP) neural networks is presented. This model is capable of completing missing values in AHP pairwise matrices and improving its consistency at the same time.