Please use this identifier to cite or link to this item: http://ena.lp.edu.ua:8080/handle/ntb/49586
Title: A GIS-based Fuzzy Multi-Criteria Analysis Approach to Industrial Site Selection
Authors: Buchynska, I.
Affiliation: Odessa State Environmental University
Bibliographic description (Ukraine): Buchynska I. A GIS-based Fuzzy Multi-Criteria Analysis Approach to Industrial Site Selection / I. Buchynska // Econtechmod. — Lviv : University of Engineering and Economics in Rzeszow, 2019. — Vol 8. — No 3. — P. 15–20.
Bibliographic description (International): Buchynska I. A GIS-based Fuzzy Multi-Criteria Analysis Approach to Industrial Site Selection / I. Buchynska // Econtechmod. — Lviv : University of Engineering and Economics in Rzeszow, 2019. — Vol 8. — No 3. — P. 15–20.
Is part of: Econtechmod, 3 (8), 2019
Econtechmod, 3 (8), 2019
Journal/Collection: Econtechmod
Issue: 3
Volume: 8
Issue Date: 20-Mar-2019
Publisher: University of Engineering and Economics in Rzeszow
Place of the edition/event: Львів
Lviv
Keywords: geographic information systems
multiplecriteria decision analysis
fuzzy set theory
alpha-cut
site selection
Number of pages: 6
Page range: 15-20
Start page: 15
End page: 20
Abstract: The paper proposes a methodology for fuzzy multi-criteria analysis of decisions in a raster-based geographical information system (GIS) to determine the optimal locations for territorial objects. Recommendations about the stages of choosing alternatives for spatial and non-spatial constraints are given. It is shown that the fuzzyfication of criteria, that is, the conversion of their attribute values into a fuzzy set, based on expert evaluation of a fuzzy membership function, allows screening alternatives by determining thresholds of alpha-cut of fuzzy sets for each criterion, followed by combining criteria attributes using aggregation operators: minimum, maximum, weighted sum, OWA operator Jager. Adding to the procedure of multicriteria analysis of the additional stage of filtration of alternatives gives the opportunity to reduce the number of alternatives, and in the future and the processing time of the criteria layers by aggregator operators. The proposed algorithm for screening alternatives can be performed in a GIS environment using Fuzzy Membership, Overlay and raster calculators tools.
URI: http://ena.lp.edu.ua:8080/handle/ntb/49586
Copyright owner: © Copyright by Lviv Polytechnic National University
© Copyright by University of Engineering and Economics in Rzeszow
References (Ukraine): 1. Chakhar S., Mousseau V. 2008. Spatial multicriteria decision making. In Encyclopedia of GIS, SpringerVerlag, New York, 2008. pp. 747–753.
2. Katrenko A., Antoniak T. 2011. The problem of optimal object accommodation by means of simulation modeling. In Bulletin of the National University “Lviv Polytechnic”. Information Systems and Networks, vol. 715, pp. 150–163.
3. Sergiyenko I. 1988. Mathematical models and methods for solving discrete optimization problems, Kyiv : Nauk. dumka, p. 471.
4. Simon H. 1973. The Structure of Ill-structured Problems. Artificial Intelligence. Vol. 4. pp. 181–202.
5. Zadeh L. 1965. Fuzzy sets. Information and Control, vol. 8, No. 3, pp. 338–353.
6. Malczewski J. 2004. GIS-based land-use suitability analysis: a critical overview. Progress in Planning, Vol. 62, pp. 3–6.
7. Malczewski J. 2006. GIS-based multicriteria decision analysis: a survey of the literature,” International Geographical Information Science, Vol. 20(7). pp. 703–726.
8. Kuznichenko S., Gunchenko Yu., Buchynska I. 2018. Fuzzy model of geospatial data processing in multicriteria suitability analysis. Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, Vol. 61, pp. 90–103.
9. Rikalovic A., Cosic I., Lazarevic D. 2014. GIS Based Multi-Criteria Analysis for Industrial Site Selection. Procedia Engineering Vol. 69, pp. 1054–1063.
10. Saaty T. 1980. The analytic hierarchy process: Planning, priority setting, resources allocation. New York, NY: McGraw, 287 p.
11. Kuznichenko S., Kovalenko L., Buchynska I., and Gunchenko Y. 2018. Development of a multi-criteria model for making decisions on the location of solid waste landfills. EasternEuropean Journal of Enterprise Technologies, Vol. 2, No. 3(92), pp. 21–31. DOI: 10.15587/1729-4061.2018.129287
12. Yager R. 1988. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on System, Man, and Cybernetics, Vol. 18, pp. 183–190.
13. Malczewski J. 1999. GIS and multicriteria decision analysis. John Wiley & Sons, NY, 392 p.
References (International): 1. Chakhar S., Mousseau V. 2008. Spatial multicriteria decision making. In Encyclopedia of GIS, SpringerVerlag, New York, 2008. pp. 747–753.
2. Katrenko A., Antoniak T. 2011. The problem of optimal object accommodation by means of simulation modeling. In Bulletin of the National University "Lviv Polytechnic". Information Systems and Networks, vol. 715, pp. 150–163.
3. Sergiyenko I. 1988. Mathematical models and methods for solving discrete optimization problems, Kyiv : Nauk. dumka, p. 471.
4. Simon H. 1973. The Structure of Ill-structured Problems. Artificial Intelligence. Vol. 4. pp. 181–202.
5. Zadeh L. 1965. Fuzzy sets. Information and Control, vol. 8, No. 3, pp. 338–353.
6. Malczewski J. 2004. GIS-based land-use suitability analysis: a critical overview. Progress in Planning, Vol. 62, pp. 3–6.
7. Malczewski J. 2006. GIS-based multicriteria decision analysis: a survey of the literature," International Geographical Information Science, Vol. 20(7). pp. 703–726.
8. Kuznichenko S., Gunchenko Yu., Buchynska I. 2018. Fuzzy model of geospatial data processing in multicriteria suitability analysis. Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, Vol. 61, pp. 90–103.
9. Rikalovic A., Cosic I., Lazarevic D. 2014. GIS Based Multi-Criteria Analysis for Industrial Site Selection. Procedia Engineering Vol. 69, pp. 1054–1063.
10. Saaty T. 1980. The analytic hierarchy process: Planning, priority setting, resources allocation. New York, NY: McGraw, 287 p.
11. Kuznichenko S., Kovalenko L., Buchynska I., and Gunchenko Y. 2018. Development of a multi-criteria model for making decisions on the location of solid waste landfills. EasternEuropean Journal of Enterprise Technologies, Vol. 2, No. 3(92), pp. 21–31. DOI: 10.15587/1729-4061.2018.129287
12. Yager R. 1988. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on System, Man, and Cybernetics, Vol. 18, pp. 183–190.
13. Malczewski J. 1999. GIS and multicriteria decision analysis. John Wiley & Sons, NY, 392 p.
Content type: Article
Appears in Collections:Econtechmod. – 2019. – Vol. 8, No. 3



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