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Sensitivity of Multi-Criteria Analysis Methods in Rural Land Consolidation Project Ranking

Author

Listed:
  • Goran Marinković

    (Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia)

  • Zoran Ilić

    (Academy of Technical and Educational Vocational Studies, 20 Aleksandra Medvedeva, 18000 Nis, Serbia)

  • Žarko Nestorović

    (Joint Stock Company “Elektroprivreda Srbije”, Branch Djerdap, 19320 Kladovo, Serbia)

  • Marko Božić

    (Meixner d.o.o., 16/G Hermanova, 10000 Zagreb, Croatia)

  • Vladimir Bulatović

    (Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia)

Abstract

Decisions around distributing available funds among potential land consolidation projects require a thorough analysis in order to maximize the effects of land consolidation. In order to avoid choosing the wrong land consolidation projects, different methods can be used. Generally, there are two possible groups of methods: one based on a qualitative approach (DELPHI; SWOT) and one based on a quantitative approach (AHP, VIKOR, SAW, TOPSIS, etc.). In this research, the focus was on the sensitivity of the resulting rankings affected by varying the input data in multi-criteria analysis methods, with an emphasis on the variation in the weight and the choice of criteria. This research was motivated by the subjective character of the choice of criteria and their weighting before applying the multi-criteria analysis methods. Four methods were included (AHP, TOPSIS, VIKOR, and SAW) for the multi-criteria analysis, with three ways of defining weights (consistent, modified, or quasi-consistent and freely determined without taking consistency into account), in order to determine the influence of the different methods on the final ranking. The weights were defined only by an acceptable interval of values. The sensitivity of the methods was investigated using the differences in the obtained rankings between each method. A case study is provided on real data, and the results are discussed. The results showed a relatively small variance and possible equal rankings of projects by means of statistical analyses. This finding opens up the possibility of the valuation of projects instead of simple rankings.

Suggested Citation

  • Goran Marinković & Zoran Ilić & Žarko Nestorović & Marko Božić & Vladimir Bulatović, 2024. "Sensitivity of Multi-Criteria Analysis Methods in Rural Land Consolidation Project Ranking," Land, MDPI, vol. 13(2), pages 1-14, February.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:2:p:245-:d:1340269
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    References listed on IDEAS

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    1. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    2. Chen, Hongyi & Kocaoglu, Dundar F., 2008. "A sensitivity analysis algorithm for hierarchical decision models," European Journal of Operational Research, Elsevier, vol. 185(1), pages 266-288, February.
    3. Khorramshahgol, Reza & Moustakis, Vassilis S., 1988. "Delphic hierarchy process (DHP): A methodology for priority setting derived from the Delphi method and analytical hierarchy process," European Journal of Operational Research, Elsevier, vol. 37(3), pages 347-354, December.
    4. Wójcik-Leń, Justyna & Leń, Przemysław & Mika, Monika & Kryszk, Hubert & Kotlarz, Paweł, 2019. "Studies regarding correct selection of statistical methods for the needs of increasing the efficiency of identification of land for consolidation—A case study in Poland," Land Use Policy, Elsevier, vol. 87(C).
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