Multi-criteria comparative analysis of GIS class systems

• Autorzy: Miłek Marzenna , Stanik Jerzy , Kiedrowicz Maciej , Napiórkowski Jarosław

Identyfikatory

DOI

10.57599/gisoj.2023.3.1.97

• Języki publikacji: EN

Abstrakty

EN

The article discusses a multi-criteria comparative analysis of GIS class computer systems using the Pareto method . Referring to this problem, to find a GIS system (a compromise solution) that would be acceptable for each decision criterion, to make a Pareto optimal decision, multi-criteria optimization was obligatory. To find the mentioned optimum (the Pareto optimum), it is necessary for the decision maker to make a choice concerning the set of admissible decision solutions. Here, a matrix of criteria constructed by the authors is available, filled in with appropriate weights by field experts. This structure is very useful when evaluating the admissible solutions of the resulting algorithm. The space of acceptable solutions in the considered problem task is a set of systems, limited to their eighteen instances, which meet the criterion of completeness of all data required in the conducted research. The selected criteria are the most widely used and most accepted in the environments that systems of this class use daily.

Słowa kluczowe

EN

GIS; multi-criteria optimization; ideal point; space of admissible solutions

PL

GIS; optymalizacja wielokryterialna; punkt idealny; przestrzeń dopuszczalnych rozwiązań

• Wydawca: SILGIS Association ; Croatian-Polish Scientific Network
• Czasopismo: GIS Odyssey Journal
• Rocznik: 2023
• Tom: Vol. 3, no. 1
• Strony: 97--122
• Opis fizyczny: Bibliogr. 20 poz.

Twórcy

autor

Miłek Marzenna

• Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland

• https://orcid.org/0009-0002-9806-6755

autor

Stanik Jerzy

• Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland

• https://orcid.org/0000-0002-0162-2579

autor

Kiedrowicz Maciej

• Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland

• https://orcid.org/0000-0002-4389-0774

autor

Napiórkowski Jarosław

• Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland

• https://orcid.org/0000-0003-3286-3751

Bibliografia

• 1. Ameljańczyk A. (1984). Multi-criteria optimization in control and management problems, Ossolineum, Warsaw 1984.
• 2. Bolstad P. (2019). GIS Fundamentals: The First Text on Geographic Information Systems (6th ed.). XanEdu. ISBN 978-1-59399-552-2.
• 3. Chang, Kang-tsung (2016). Introduction to Geographic Information Systems (9th ed.). McGraw-Hill. p. 1. ISBN 978-1-259-92964-9.
• 4. Chen S.J., Hwang C.L. (1992). Fuzzy Multiple Attribute Decision Making: Methods and Applications. Springer Verlag, Berlin.
• 5. DeMers M. (2009). Fundamentals of geographic information systems (4th ed.). John Wiley & Sons, Inc. ISBN 978-0-470-12906-7.
• 6. Fu P. and Sun J. (2010). Web GIS: principles and applications. ESRI Press. Redlands, California. ISBN 1-58948-245-X.
• 7. Goodchild M.F. (2010). Twenty Years of Progress: GIScience in 2010. Journal of Spatial Information Science (1). doi:10.5311/JOSIS.2010.1.2.
• 8. Maliene V., Grigonis V., Palevičius V., Griffiths S. (2011). Geographic Information System: Old Rules with New Possibilities. Urban Design International. 16(1):1–6. doi:10.1057/udi.2010.25. S2CID 110827951.
• 9. Marler R.T., Arora J.S. (2004). Survey of multi-objective optimization methods for engineering. Struct. Multidisciplinary Optimization 26, pp. 369–395.
• 10. Marler R.T., Arora J.S. (2009). The weighted-sum method for multi-objective optimization: new insights. Structural Multidisciplinary Optimization. DOI 10.1007/s00158-009-0460-7
• 11. Miłek M., Kiedrowicz M., Stanik J., Napiórkowski J. (2023a). Comparative characteristics of GIS using the AHP method, GIS Odyssey Journal, vol. 3, no. 1, pp. 41–72.
• 12. Miłek M., Kiedrowicz M., Stanik J., Napiórkowski J. (2023b). Comparative GIS analysis using taxonomy and classification techniques, GIS Odyssey Journal, vol. 3, no. 1, pp. 73–96.
• 13. Mironova Y.N. (2020). Mathematical Methods in Geoinformatics 2020 International MultiConference on Industrial Engineering and Modern Technologies (FarEastCon) 6-9 Oct. 2020, (Vladivostok, Russia) URL: https://ieeexplore.ieee.org/document /9271594, DOI: 10.1109/FarEastCon50210.2020.9271594 Peuquet D.J., Marble D.F. (1990). What is a Geographic Information System? In: D.J.
• 14. Peuquet, D.F. Marble (eds.), Introductory Reading in GISs. New York. Taylor and Francis.
• 15. Rao R.V., Davin J.P. (2008). A decision-making framework model for material selection using a combined multiple attributes decision-making method. International Journal of Advance Manufacturing Technology, vol. 35, no. 7–8, pp. 751–760.
• 16. Saaty T.L. (1980). The Analytic Hierarchy Process. McGraw Hill, New York.
• 17. Saaty T.L. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, Springer.
• 18. Somers R. (1996). Managing GIS: What do we really know? In Proceedings of the Conference on 'Managing Geographic Information Systems for Success' (Melbourne: Center for Geographic Information Systems and Modelling, The University of Melbourne), pp. 1–10.
• 19. Xuan, Zhu (2016). GIS for environmental applications A practical approach. ISBN 9780415829069. OCLC 1020670155.
• 20. Zimmermann H.J. (1991). Fuzzy Set Theory and Its Applications, Kluwer Academic Publishers, Second Edition, Boston, MA.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).