Linear programming models for estimating weights in the analytic hierarchy process
type: Item
instance of: scholarly article
title: Linear programming models for estimating weights in the analytic hierarchy process
zbMATH Open document ID: 1116.90363
author: Bala Chandran
author: Bruce Golden
author: Edward Wasil
published in: Computers \& Operations Research
publication date: 2005-04-21T00:00:00Z
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C05
zbMATH DE Number: 2160308
zbMATH Keywords: Analytic hierarchy process
zbMATH Keywords: Linear programming
zbMATH Keywords: Interval AHP
zbMATH Keywords: Sensitivity analysis
describes a project that uses: LINDO
MaRDI profile type: Publication
full work available at URL: j.cor.2004.02.010
OpenAlex ID: W2084612136
cites work: A scaling method for priorities in hierarchical structures
cites work: Q3044280
cites work: Inconsistency and rank preservation
cites work: Preference simulation and preference programming: Robustness issues in priority derivation
cites work: Visualizing group decisions in the analytic hierarchy process.
cites work: Q3347626
DOI: 10.1016/J.COR.2004.02.010
Recommended article: Application of linear programming to derive the local weight in the analytic hierarchy process
Recommended article: Q5456016
Recommended article: A weighted-gradient approach to multi-objective linear programming problems using the analytic hierarchy process
Recommended article: WEIGHTED PRIORITIZATION MODELS IN THE FUZZY ANALYTIC HIERARCHY PROCESS
Recommended article: A linear optimization problem to derive relative weights using an interval judgement matrix
Recommended article: Scales and methods for deriving weights in the analytic hierarchy process
Recommended article: Q3159766
Recommended article: A linear programming method for generating the most favorable weights from a pairwise comparison matrix
Recommended article: Models, methods, concepts \& applications of the analytic hierarchy process
description: scientific article; zbMATH DE number 2160308