| DC Field | Value | Language |
|---|
| dc.contributor.author | Buchynska, I. | |
| dc.date.accessioned | 2020-05-08T07:19:08Z | - |
| dc.date.available | 2020-05-08T07:19:08Z | - |
| dc.date.created | 2019-03-20 | |
| dc.date.issued | 2019-03-20 | |
| dc.identifier.citation | 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. | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/49586 | - |
| dc.description.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. | |
| dc.format.extent | 15-20 | |
| dc.language.iso | en | |
| dc.publisher | University of Engineering and Economics in Rzeszow | |
| dc.relation.ispartof | Econtechmod, 3 (8), 2019 | |
| dc.relation.ispartof | Econtechmod, 3 (8), 2019 | |
| dc.subject | geographic information systems | |
| dc.subject | multiplecriteria decision analysis | |
| dc.subject | fuzzy set theory | |
| dc.subject | alpha-cut | |
| dc.subject | site selection | |
| dc.title | A GIS-based Fuzzy Multi-Criteria Analysis Approach to Industrial Site Selection | |
| dc.type | Article | |
| dc.rights.holder | © Copyright by Lviv Polytechnic National University | |
| dc.rights.holder | © Copyright by University of Engineering and Economics in Rzeszow | |
| dc.contributor.affiliation | Odessa State Environmental University | |
| dc.format.pages | 6 | |
| dc.identifier.citationen | 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. | |
| dc.relation.references | 1. Chakhar S., Mousseau V. 2008. Spatial multicriteria decision making. In Encyclopedia of GIS, SpringerVerlag, New York, 2008. pp. 747–753. | |
| dc.relation.references | 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. | |
| dc.relation.references | 3. Sergiyenko I. 1988. Mathematical models and methods for solving discrete optimization problems, Kyiv : Nauk. dumka, p. 471. | |
| dc.relation.references | 4. Simon H. 1973. The Structure of Ill-structured Problems. Artificial Intelligence. Vol. 4. pp. 181–202. | |
| dc.relation.references | 5. Zadeh L. 1965. Fuzzy sets. Information and Control, vol. 8, No. 3, pp. 338–353. | |
| dc.relation.references | 6. Malczewski J. 2004. GIS-based land-use suitability analysis: a critical overview. Progress in Planning, Vol. 62, pp. 3–6. | |
| dc.relation.references | 7. Malczewski J. 2006. GIS-based multicriteria decision analysis: a survey of the literature,” International Geographical Information Science, Vol. 20(7). pp. 703–726. | |
| dc.relation.references | 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. | |
| dc.relation.references | 9. Rikalovic A., Cosic I., Lazarevic D. 2014. GIS Based Multi-Criteria Analysis for Industrial Site Selection. Procedia Engineering Vol. 69, pp. 1054–1063. | |
| dc.relation.references | 10. Saaty T. 1980. The analytic hierarchy process: Planning, priority setting, resources allocation. New York, NY: McGraw, 287 p. | |
| dc.relation.references | 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 | |
| dc.relation.references | 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. | |
| dc.relation.references | 13. Malczewski J. 1999. GIS and multicriteria decision analysis. John Wiley & Sons, NY, 392 p. | |
| dc.relation.referencesen | 1. Chakhar S., Mousseau V. 2008. Spatial multicriteria decision making. In Encyclopedia of GIS, SpringerVerlag, New York, 2008. pp. 747–753. | |
| dc.relation.referencesen | 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. | |
| dc.relation.referencesen | 3. Sergiyenko I. 1988. Mathematical models and methods for solving discrete optimization problems, Kyiv : Nauk. dumka, p. 471. | |
| dc.relation.referencesen | 4. Simon H. 1973. The Structure of Ill-structured Problems. Artificial Intelligence. Vol. 4. pp. 181–202. | |
| dc.relation.referencesen | 5. Zadeh L. 1965. Fuzzy sets. Information and Control, vol. 8, No. 3, pp. 338–353. | |
| dc.relation.referencesen | 6. Malczewski J. 2004. GIS-based land-use suitability analysis: a critical overview. Progress in Planning, Vol. 62, pp. 3–6. | |
| dc.relation.referencesen | 7. Malczewski J. 2006. GIS-based multicriteria decision analysis: a survey of the literature," International Geographical Information Science, Vol. 20(7). pp. 703–726. | |
| dc.relation.referencesen | 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. | |
| dc.relation.referencesen | 9. Rikalovic A., Cosic I., Lazarevic D. 2014. GIS Based Multi-Criteria Analysis for Industrial Site Selection. Procedia Engineering Vol. 69, pp. 1054–1063. | |
| dc.relation.referencesen | 10. Saaty T. 1980. The analytic hierarchy process: Planning, priority setting, resources allocation. New York, NY: McGraw, 287 p. | |
| dc.relation.referencesen | 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 | |
| dc.relation.referencesen | 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. | |
| dc.relation.referencesen | 13. Malczewski J. 1999. GIS and multicriteria decision analysis. John Wiley & Sons, NY, 392 p. | |
| dc.citation.journalTitle | Econtechmod | |
| dc.citation.volume | 8 | |
| dc.citation.issue | 3 | |
| dc.citation.spage | 15 | |
| dc.citation.epage | 20 | |
| dc.coverage.placename | Львів | |
| dc.coverage.placename | Lviv | |
| Appears in Collections: | Econtechmod. – 2019. – Vol. 8, No. 3
|
