Ranking by the Rough Approximation of a Preference Relation for an Extrusion Process - a Robustness Study

• Autorzy: Kazimierz Zaraś , Laszlo Nandor Kiss , Silvère Massebeuf , Christian Fonteix
• Języki publikacji: EN

Abstrakty

EN

n 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.(original abstract)

Słowa kluczowe

EN

Genetic algorithms; Multicriteria analysis; Robust statistical methods; Decision making; Decision Support Systems (DSS)

PL

Algorytmy genetyczne; Analiza wielokryterialna; Odporne metody statystyczne; Podejmowanie decyzji; Systemy wspomagania decyzji

• Czasopismo: Multiple Criteria Decision Making / University of Economics in Katowice
• Rocznik: 2009
• Tom: 4
• Strony: 265--282

Twórcy

autor

Kazimierz Zaraś

autor

Laszlo Nandor Kiss

autor

Silvère Massebeuf

autor

Christian Fonteix

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