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

Malcolm J. Beynon, Peter Wells
ISBN13: 9781615208937|ISBN10: 1615208933|ISBN13 Softcover: 9781616923310|EISBN13: 9781615208944
DOI: 10.4018/978-1-61520-893-7.ch008
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MLA

Beynon, Malcolm J., and Peter Wells. "Motor Vehicle Improvement Preference Ranking: A PROMETHEE and Trigonometric Differential Evolution Analysis of their Chemical Emissions." Soft Computing Methods for Practical Environment Solutions: Techniques and Studies, edited by Marcos Gestal Pose and Daniel Rivero Cebrián, IGI Global, 2010, pp. 106-126. https://doi.org/10.4018/978-1-61520-893-7.ch008

APA

Beynon, M. J. & Wells, P. (2010). Motor Vehicle Improvement Preference Ranking: A PROMETHEE and Trigonometric Differential Evolution Analysis of their Chemical Emissions. In M. Gestal Pose & D. Rivero Cebrián (Eds.), Soft Computing Methods for Practical Environment Solutions: Techniques and Studies (pp. 106-126). IGI Global. https://doi.org/10.4018/978-1-61520-893-7.ch008

Chicago

Beynon, Malcolm J., and Peter Wells. "Motor Vehicle Improvement Preference Ranking: A PROMETHEE and Trigonometric Differential Evolution Analysis of their Chemical Emissions." In Soft Computing Methods for Practical Environment Solutions: Techniques and Studies, edited by Marcos Gestal Pose and Daniel Rivero Cebrián, 106-126. Hershey, PA: IGI Global, 2010. https://doi.org/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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