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Motor Vehicle Improvement Preference Ranking: A PROMETHEE and Trigonometric Differential Evolution Analysis of their Chemical Emissions

Motor Vehicle Improvement Preference Ranking: A PROMETHEE and Trigonometric Differential Evolution Analysis of their Chemical Emissions
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Author(s): Malcolm J. Beynon (Cardiff University, UK)and Peter Wells (Cardiff University, UK)
Copyright: 2010
Pages: 21
Source title: Soft Computing Methods for Practical Environment Solutions: Techniques and Studies
Source Author(s)/Editor(s): Marcos Gestal Pose (University of A Coruna, Spain)and Daniel Rivero Cebrián (University of A Coruna, Spain)
DOI: 10.4018/978-1-61520-893-7.ch008

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Abstract

The central theme of this chapter is a preference ranking analysis of a group of motor vehicles based on their chemical emissions. Beyond the initial ranking of the motor vehicles, operationalised using the multi-criteria decision making technique PROMETHEE, further analysis is given on how the manufacturers of a motor vehicle could improve its preference rank position, based on reducing it current levels of chemical emissions. The rank improvement analysis, is defined a constrained optimisation problem, solved here using Trigonometric Differential Evolution. Further, an identification of a prescribed order to these chemical emissions reductions is then identified, offering practical findings to motor vehicle manufacturers when considering their position in a competitive market. The employment of Trigonometric Differential Evolution along with PROMETHEE in this chapter demonstrates a clear example of soft-computing in a practical problem.

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