
DOI: 10.11118/978-80-7509-990-7-0060
THE USABILITY OF ALGORITHMS FROM GRAPH THEORY IN THE FIELD OF MULTICRITERIA ANALYSIS
- Radim Farana1
- 1 Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic
The main ideas, on how to use algorithms from the Graph Theory to improve the process of Multicriteria Analysis were presented in the paper (Farana, 2016). This paper presents practical results obtained by the use of these algorithms in practical decision-making procedures when multicriteria analysis has been used. Graph algorithms were used in two situations when determining the values of the weights of decision criteria. First was the checking, if the Fuller’s triangle, filled in by an expert, is filled in correctly. For this verification, a complete graph is used in which the vertices represent the criteria the orientation of the edges their mutual significance. A method of gluing vertices could be used for criteria with the same significance. The resulting graph must be acyclic. Twenty-five decision tasks with seven or more criteria were analyzed and the obtained results will be presented in the paper. The second application was the elimination of the overdetermination of the assessment in Saaty’s method. A spanning tree describing dependencies between criteria has been used according to the algorithm in (Farana, 2016). Obtained results were compared with the full Saaty’s matrix when the number of compared pairs of criteria is k – 1 for k criteria, compared to the number of k(k – 1)/2 in the classic Saaty’s method. Fifteen decision tasks with seven or more criteria were analyzed and the obtained results will be presented in the paper. The paper presents the differences between the assessment given directly by experts and the assessment obtained using the spanning tree and shows that the described method is applicable in practice. The experience of experts using the proposed procedure, obtained through a guided interview, was mostly positive.
Klíčová slova: decision making, multicriteria analysis, graph theory, Fuller triangle, Saaty’s method, acyclic graph, spanning tree
stránky: 60-64, online: 2024
Reference
- AGARSKI, B., HADZISTEVIC, M., BUDAK, I., MORACA, S. and VUKELIC, D. 2019. Comparison of approaches to weighting of multiple criteria for selecting equipment to optimize performance and safety. Online. International Journal of Occupational Safety and Ergonomics. 25(2), 228-240. ISSN 1080-3548. https://doi.org/10.1080/10803548.2017.1341126 [cit. 2024-01-15].
Přejít k původnímu zdroji...
- BOROVCOVÁ M. 2010. Methods of multi-criteria evaluation of variants and their use in the selection of a financial institution's product (in Czech). In: 5th International conference Management and modeling of financial risks, V©B-TUO EkF, 2010, 8 pp. https://docplayer.cz/8392238-Metody-vicekriterialniho-hodnoceni-variant-a-jejich-vyuziti-pri-vyberu-produktu-financni-instituce.html
- FARANA, R. 2016. Using graphs in multi-criteria analysis tasks (in Czech). In: XLI. Seminar ASR '2016 "Instruments and Control". Ostrava: V©B-TU Ostrava, 22. 4. 2016, s. 47 - 53. ISBN 978-80-248-3910-3. http://akce.fs.vsb.cz/2016/asr2016/Sbornik-ASR2016.pdf
- GROSS, J. L. and YELLEN, J. 2006. Graph theory and its applications. 2nd Edition. New York: Chapman and Hall. ISBN 1-58488-505-x
- JABLONSKÝ, J. 2007 Operations research: quantitative methods for economic decision-making (in Czech). 3. ed. Praha: Professional Publishing, 323 s. ISBN 978-80-86946-44-3
- MALAKOOTI, B. 2013. Production and operation systems with multiple objectives. John Wiley & Sons, , 1114 pp. ISBN 9781118585375
- DEPARTMENT FOR COMMUNITIES AND LOCAL GOVERNMENT. 2009. Multi-criteria analysis: a manual. 2009. London: Department for Communities and Local Government, 68 pp. ISBN: 978-1-4098-1023-0. http://eprints.lse.ac.uk/12761/1/Multi-criteria_Analysis.pdf
- NESTERENKO, O., NETESIN, I., POLISCHUK, V. and SELIN, Y. 2022. Graph-based decision making for varying complexity multicriteria problems. Computer Science Journal of Moldova, 30, 3(90). https://doi.org/10.56415/csjm.v30.21
Přejít k původnímu zdroji...
- NORDEMANN, F., TÖNJES, R., PULVERMÜLLER, E. and TAPKEN, H. 2020. Graph-based Multi-Criteria Optimization for Business Processes. In: 10th International Symposium on Business Modeling and Software Design (BMSD), Lecture Notes in Business Information Processing, Springer, 2020. https://doi.org/10.1007/978-3-030-52306-0_5
Přejít k původnímu zdroji...
- SAATY, T. L. 1977. A scaling method for priorities in hierarchical structures. Online. Journal of Mathematical Psychology. 5, 3, 234-281. ISSN 00222496. https://doi.org/10.1016/0022-2496(77)90033-5
Přejít k původnímu zdroji...
- SAATY, T. L. 1988. What is the Analytic Hierarchy Process? Online. In: MITRA, G., GREENBERG, H. J., LOOTSMA, F. A., RIJKAERT, M. J. and ZIMMERMANN, H. J. (eds.). Mathematical Models for Decision Support. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 109-121. ISBN 978-3-642-83557-5 https://doi.org/10.1007/978-3-642-83555-1_5
Přejít k původnímu zdroji...
- TRIANTAPHYLLOU, E. 2000. Multi-criteria decision making methods: a comparative study. Boston, Mass.: Kluwer Academic Publishers, 2000, 288 pp. ISBN 0-7923-6607-7