Skoči na glavni sadržaj

Tehnički vjesnik, Vol. 25 No. 5, 2018.

Izvorni znanstveni članak

https://doi.org/10.17559/TV-20170111011555

A Comparative Study of Outranking Methods for Multi-Criteria Optimization of Electromechanical Modules

Ina D. Nikolova orcid id orcid.org/0000-0002-1760-7883 ; Technical University of Sofia, Faculty of Engineering and Pedagogy of Sliven, bul. "Burgasko shose" 59, 8800 Sliven, Bulgaria
Hirpa G. Lemu orcid id orcid.org/0000-0001-9588-4707 ; University of Stavanger, Kjell Arholms gate 41, Arne Rettedals Hus, N-4036 Stavanger, Norway
Dimitrinka S. Dahterova orcid id orcid.org/0000-0003-4104-1856 ; Technical University of Sofia, Faculty of Engineering and Pedagogy of Sliven, bul. "Burgasko shose" 59, 8800 Sliven, Bulgaria
Vanio D. Ivanov ; Technical University of Sofia, Faculty of Engineering and Pedagogy of Sliven, bul. "Burgasko shose" 59, 8800 Sliven, Bulgaria

Puni tekst: engleski pdf 1.589 Kb

str. 1330-1338

preuzimanja: 726

citiraj

Sažetak

The paper presents a comparative assessment of the procedures for applying two outranking methods in solving multi-criteria optimization tasks. The conducted study compares the fundamental PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) method, which is widely proposed to support selection of the best compromise alternative in multi-criteria tasks, with the newly developed RAZOR (Ranking of Alternatives by Z-score Operation Ratings) method. The paper describes the ranking methods and provides demonstrative numerical examples for existing electromechanical modules. The results of the numerical examples from the conducted multi-criteria optimization on a number of given criteria are presented. The study demonstrated that the calculation procedure in PROMETHEE method demands certain level of preliminary knowledge, but provides fine setting of preferences by the decision-maker. The RAZOR method, on the other hand, demands no preliminary knowledge and it is easier to visualize graphically.

Ključne riječi

electromechanical modules; multi-criteria optimization; PROMETHEE II; RAZOR; z-score

Hrčak ID:

207430

URI

https://hrcak.srce.hr/207430

Datum izdavanja:

28.10.2018.

Posjeta: 1.461 *