Estimation of missing judgments in AHP pairwise matrices using a neural network-based model
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Publication:984325
DOI10.1016/j.amc.2010.04.009zbMath1198.90232OpenAlexW1966203525MaRDI QIDQ984325
Jose Antonio Gomez-Ruiz, Marcelo Karanik, José Ignacio Peláez
Publication date: 19 July 2010
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2010.04.009
Related Items (7)
Jie Ke versus AlphaGo: a ranking approach using decision making method for large-scale data with incomplete information ⋮ Applying FARSJUM intelligent system to derive priorities in sparse hierarchical problems ⋮ A DEMATEL-based completion method for incomplete pairwise comparison matrix in AHP ⋮ Reconstruction methods for AHP pairwise matrices: how reliable are they? ⋮ Estimating the missing values for the incomplete decision matrix and consistency optimization in emergency management ⋮ Analyzing Saaty's consistency test in pairwise comparison method: a perspective based on linguistic and numerical scale ⋮ Bridging the gap between missing and inconsistent values in eliciting preference from pairwise comparison matrices
Cites Work
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- Backpropagation multi-layer perceptron for incomplete pairwise comparison matrices in analytic hierarchy process
- How to make a decision: The analytic hierarchy process
- Procedures for synthesizing ratio judgements
- Artificial neural network representations for hierarchical preference structures
- Decision-making with the AHP: Why is the principal eigenvector necessary
- A new measure of consistency for positive reciprocal matrices
- Alternative modes of questioning in the analytic hierarchy process
- PROPERTIES OF A POSITIVE RECIPROCAL MATRIX AND THEIR APPLICATION TO AHP
- A METHOD FOR IMPROVING THE CONSISTENCY OF JUDGEMENTS
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