Experiments in multiple criteria selection problems with multiple decision makers

Maria A. Velazquez, David Claudio, A. Ravi Ravindran

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

Multiple Criteria Selection Problems (MCSP) deal with ranking alternatives under conflicting criteria. In the resolution of such problems scaling methods are used to standardize 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 favorable 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.

Original languageEnglish (US)
Pages715-720
Number of pages6
Publication statusPublished - Dec 1 2008
EventIIE Annual Conference and Expo 2008 - Vancouver, BC, Canada
Duration: May 17 2008May 21 2008

Other

OtherIIE Annual Conference and Expo 2008
CountryCanada
CityVancouver, BC
Period5/17/085/21/08

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Industrial and Manufacturing Engineering

Cite this

Velazquez, M. A., Claudio, D., & Ravindran, A. R. (2008). Experiments in multiple criteria selection problems with multiple decision makers. 715-720. Paper presented at IIE Annual Conference and Expo 2008, Vancouver, BC, Canada.