Title: Experiments in multiple criteria selection problems with multiple decision makers

Authors: Maria Angelica Velazquez, David Claudio, A. Ravi Ravindran

Addresses: Industrial and Manufacturing Engineering Department, The Pennsylvania State University, 310 Leonhard Building, University Park, PA 16802, USA. ' Industrial and Manufacturing Engineering Department, The Pennsylvania State University, 310 Leonhard Building, University Park, PA 16802, USA. ' Industrial and Manufacturing Engineering Department, The Pennsylvania State University, 310 Leonhard Building, University Park, PA 16802, USA

Abstract: Multiple criteria selection problems deal with ranking alternatives under conflicting criteria. In the resolution of such problems, scaling methods are used to standardise the data and weighting methods are used to assign a preference to each criterion based on the decision maker|s assessment. Several methods have been proposed for weighting and scaling but the most favourable combinations of methods are uncertain. This study presents the results of experiments in which data from human decision makers is used to determine the best combination of weighting-scaling methods for single and multiple decision makers using the weighted sum decision making model.

Keywords: AHP; analytical hierarchy process; ideal values; linear normalisation; multiple criteria selection problems; multicriteria selection; multi-person decision making; operations research; ranking; rating; scaling methods; vector scaling; weighting methods.

DOI: 10.1504/IJOR.2010.032419

International Journal of Operational Research, 2010 Vol.7 No.4, pp.413 - 428

Available online: 02 Apr 2010 *

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