Motor vehicle improvement preference ranking: A PROMETHEE and trigonometric differential evolution analysis of their chemical emissions

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X and Wells, Peter Erskine ORCID: https://orcid.org/0000-0002-4376-7178 2010. Motor vehicle improvement preference ranking: A PROMETHEE and trigonometric differential evolution analysis of their chemical emissions. Pose, Marcos Gestal and Cebrián, Daniel Rivero, eds. Soft Computing Methods for Practical Environment Solutions: Techniques and Studies, Hershey, PA: IGI Global, pp. 106-126.

Full text not available from this repository.

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.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics) Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HF Commerce Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TL Motor vehicles. Aeronautics. Astronautics
Publisher:	IGI Global
ISBN:	9781615208937
Related URLs:	Publisher Publisher
Last Modified:	05 Feb 2025 18:22
URI:	https://orca.cardiff.ac.uk/id/eprint/24723

Actions (repository staff only)

Edit Item