Development of a multi­criteria model for making decisions on the location of solid waste landfills

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.129287

Keywords:

solid waste, geoinformation systems, multi-criteria analysis of decisions, fuzzy logic

Abstract

We have developed a structure of the multi-criteria model of decision making related to determine optimal sites for the location of solid waste landfills (using the south of Odessa oblast as an example). A special feature of the model is the integration of GIS and the multi-criteria methods of decision-making. Based on the created raster criteria maps in the GIS geodatabase and expert estimation of the significance of criteria, we ranked alternatives according to the degree of suitability. A multilevel hierarchical decision-making structure includes three groups of criteria: environmental, physical, and socio-economic; it takes into consideration the state building requirements to the construction of SW polygons. Such an approach provides for the acceptability of results of the analysis by most stakeholders.

The simulation is performed for the three scenarios that imply the aggregation of layers of criteria into a combined map of suitability using Boolean logic, fuzzy logic, and a combination of methods of weighted overlay and a fuzzy analysis of hierarchies. To account for the uncertainty of original information and subjectivity in expert assessments, we employed an apparatus of fuzzy logic. Piecewise-linear membership functions of the fuzzy set are proposed for the standardization of criteria. We calculated weights of criteria using a modified method of the analysis of hierarchies, in which we used linguistic variables represented by triangular fuzzy numbers to perform the paired comparison of criteria significance.

The results of the simulation show that the use of operations of a fuzzy intersection or a fuzzy combination in order to aggregate a combined suitability map can lead to errors related to the underestimation or overestimation of alternatives. The most acceptable method is a weighted linear combination, or the operation of fuzzy geometric averaging, in cases when it is difficult or impossible to determine the weight of criteria.

Author Biographies

Svitlana Kuznichenko, Odessa State Environmental University Lvivska str., 15, Odessa, Ukraine, 65016

PhD, Associate Professor

Department of information technology

Ludmila Kovalenko, Odessa State Environmental University Lvivska str., 15, Odessa, Ukraine, 65016

PhD, Associate Professor

Department of information technology

Iryna Buchynska, Odessa State Environmental University Lvivska str., 15, Odessa, Ukraine, 65016

Postgraduate student

Department of information technology

Yurii Gunchenko, Odessa I. I. Mechnikov National University Dvoryanskaya str., 2, Odessa, Ukraine, 65082

Doctor of Technical Sciences, Associate Professor

Department of Mathematical Support of Computer Systems

References

  1. Malczewski, J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning, 62 (1), 3–65. doi: 10.1016/j.progress.2003.09.002
  2. Malczewski, J. (2006). GIS‐based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20 (7), 703–726. doi: 10.1080/13658810600661508
  3. Mardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., Valipour, A. (2015). Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28 (1), 516–571. doi: 10.1080/1331677x.2015.1075139
  4. Mat, N. A., Benjamin, A. M., Abdul-Rahman, S. (2017). A review on criteria and decision-making techniques in solving landfill site selection problems. Journal of Advanced Review on Scientific Research, 37 (1), 14–32.
  5. Feo, G. D., Gisi, S. D. (2014). Using MCDA and GIS for hazardous waste landfill siting considering land scarcity for waste disposal. Waste Management, 34 (11), 2225–2238. doi: 10.1016/j.wasman.2014.05.028
  6. Malczewski, J. (2000). On the Use of Weighted Linear Combination Method in GIS: Common and Best Practice Approaches. Transactions in GIS, 4 (1), 5–22. doi: 10.1111/1467-9671.00035
  7. Drobne, S., Lisec, A. (2009). Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging disposal. Informatica, 33 (4), 459–474.
  8. Wang, G., Qin, L., Li, G., Chen, L. (2009). Landfill site selection using spatial information technologies and AHP: A case study in Beijing, China. Journal of Environmental Management, 90 (8), 2414–2421. doi: 10.1016/j.jenvman.2008.12.008
  9. Boroushaki, S., Malczewski, J. (2008). Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS. Computers & Geosciences, 34 (4), 399–410. doi: 10.1016/j.cageo.2007.04.003
  10. Beskese, A., Demir, H. H., Ozcan, H. K., Okten, H. E. (2014). Landfill site selection using fuzzy AHP and fuzzy TOPSIS: a case study for Istanbul. Environmental Earth Sciences, 73 (7), 3513–3521. doi: 10.1007/s12665-014-3635-5
  11. Makan, A., Malamis, D., Assobhei, O., Loizidou, M., Mountadar, M. (2012). Multi-criteria decision analysis for the selection of the most suitable landfill site: case of Azemmour, Morocco. International Journal of Management Science and Engineering Management, 7 (2), 96–109.
  12. Chang, N.-B., Parvathinathan, G., Breeden, J. B. (2008). Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. Journal of Environmental Management, 87 (1), 139–153. doi: 10.1016/j.jenvman.2007.01.011
  13. Shahabi, H., Keihanfard, S., Ahmad, B. B., Amiri, M. J. T. (2013). Evaluating Boolean, AHP and WLC methods for the selection of waste landfill sites using GIS and satellite images. Environmental Earth Sciences, 71 (9), 4221–4233. doi: 10.1007/s12665-013-2816-y
  14. Khorram, A., Yousefi, M., Alavi, S. A., Farsi, J. (2015). Convenient Landfill Site Selection by Using Fuzzy Logic and Geographic Information Systems: A Case Study in Bardaskan, East of Iran. Health Scope, 4 (1). doi: 10.17795/jhealthscope-19383
  15. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8 (3), 338–353. doi: 10.1016/s0019-9958(65)90241-x
  16. Qiu, F., Chastain, B., Zhou, Y., Zhang, C., Sridharan, H. (2013). Modeling land suitability/capability using fuzzy evaluation. GeoJournal, 79 (2), 167–182. doi: 10.1007/s10708-013-9503-0
  17. Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resources allocation. New York, NY: McGraw, 287.
  18. Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17 (3), 233–247. doi: 10.1016/0165-0114(85)90090-9

Downloads

Published

2018-04-24

How to Cite

Kuznichenko, S., Kovalenko, L., Buchynska, I., & Gunchenko, Y. (2018). Development of a multi­criteria model for making decisions on the location of solid waste landfills. Eastern-European Journal of Enterprise Technologies, 2(3 (92), 21–30. https://doi.org/10.15587/1729-4061.2018.129287

Issue

Vol. 2 No. 3 (92) (2018): Control processes

Section

Control processes

License

Copyright (c) 2018 Svitlana Kuznichenko, Ludmila Kovalenko, Iryna Buchynska, Yurii Gunchenko

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.