MCDM'08 - paper no. 15
Ranking by the rough approximation of a preference relation for an extrusion process - a robustness study
Kazimierz Zaraś, Laszlo Nandor Kiss, Silv?re Massebeuf, Christian Fonteix
Abstract:
In this paper an extrusion process example is studied to illustrate a new methodology in the field of decision engineering, which is based on the rough set approach. Rough sets are used to aid the Decision Maker in choosing the best point in the Pareto's region, which is the zone of the non-dominated solutions. The rough set approach allows us to make a rough approximation of a preference relation on a sample of experimental points chosen from the Pareto set. These approximations are done to induce the decision rules, which can be afterwards applied on whole sets of the potential points. To give the final recommendation the concept of technical robustness is suggested.
Keywords:
Rough sets, decision rules, multi-criteria problem, robustness, genetic algorithms
Reference index:
Kazimierz Zaraś, Laszlo Nandor Kiss, Silv?re Massebeuf, Christian Fonteix, (2009), Ranking by the rough approximation of a preference relation for an extrusion process - a robustness study, Multiple Criteria Decision Making (4), pp. 265-282
download