Have a personal or library account? Click to login
Application of Rough Set Theory to Establish the Amount of Waste in Households in Rural Areas Cover

Application of Rough Set Theory to Establish the Amount of Waste in Households in Rural Areas

Ecological Chemistry and Engineering S
Volume 24 (2017): Issue 2 (June 2017)
By: Tomasz Szul,  Jarosław Knaga and  Krzysztof Nęcka  
Open Access
|Jul 2017

References

  1. [1] Directive 2008/98/EC of the European Parliament and of the Council of 19 November 2008 on waste and repealing certain Directives. http://eur-lex.europa.eu/eli/dir/2008/98/oj.
    Search in Google ScholarBack to article
  2. [2] European Union Statistics. Eurostat. Waste statistics. 2016. http://ec.europa.eu/eurostat/statistics-explained/index.php/waste_statistics.
    Search in Google ScholarBack to article
  3. [3] Ministerstwo Ochrony Środowiska. Sprawozdanie z realizacji krajowego sytemu gospodarki odpadami - plan 2010. (The Ministry of Environmental Protection. Report on the implementation of the national waste management plan 2010). http://www.mos.gov.pl/g2/big/2011_11/935528872b22be4e27c786bc41a3c5fc.pdf.
    Search in Google ScholarBack to article
  4. [4] Główny Urząd Statystyczny. Bank Danych Lokalnych. (Central Statistical Office. Local Data Bank). http://stat.gov.pl/bdl/app/strona.html?p_name=indeks.
    Search in Google ScholarBack to article
  5. [5] KPGO Krajowy plan gospodarki odpadami 2022. (National plan of the waste disposal 2022). 2016. https://bip.mos.gov.pl/fileadmin/user_upload/bip/strategie_plany_programy/DGO/Krajowy_plan_gospodarki_odpadami_2022_____M.P._poz._784_.pdf.
    Search in Google ScholarBack to article
  6. [6] Boer E, Jędrczak A, Kowalski Z, Kulczycka J, Szpadt R. A review of municipal solid waste composition and quantities in Poland. Waste Manage. 2010;30:369-377. DOI: 10.1016/j.wasman.2009.09.018.10.1016/j.wasman.2009.09.018
    Search in Google ScholarBack to article
  7. [7] Bach H, Mild A, Natter M, Weber A. Combining socio-demographic and logistic factors to explain the generation and collection of waste paper. Resources Conserv Recycl. 2004;41(1):65-73. DOI: 10.1016/j.resconrec.2003.08.004.10.1016/j.resconrec.2003.08.004
    Search in Google ScholarBack to article
  8. [8] Beigl P, Lebersorger S, Salhofer S. Modelling municipal solid waste generation: a review. Waste Manage. 2008; 28(1):200-214. DOI: 10.1016/j.wasman.2006.12.011.10.1016/j.wasman.2006.12.011
    Search in Google ScholarBack to article
  9. [9] Hage O, Soderholm P. An econometric analysis of regional differences in household waste collection: the case of plastic packaging waste in Sweden. Waste Manage. 2008;28(10):1720-1731. DOI: 10.1016/j.wasman.2007.08.022.10.1016/j.wasman.2007.08.022
    Search in Google ScholarBack to article
  10. [10] Hockett D, Lober DJ, Pilgrim K. Determinants of per capita municipal solid waste generation in the Southeastern United States. J Environ Manage. 1995;45(3):205-217. DOI: 10.1006/jema.1995.0069.10.1006/jema.1995.0069
    Search in Google ScholarBack to article
  11. [11] Lebersorger S, Beigl P. Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel. Waste Manage. 2011;31:1907-1915. DOI: 10.1016/j.wasman.2011.05.016.10.1016/j.wasman.2011.05.016
    Search in Google ScholarBack to article
  12. [12] Miller I, Lauzon A, Wattle B, Ritter M, Hood J. Determinants of municipal solid waste generation and recycling in western New York communities. J Solid Waste Technol Manage. 2009;35(4):209-236. DOI: 10.5276/JSWTM.2009.209.10.5276/JSWTM.2009.209
    Search in Google ScholarBack to article
  13. [13] Passarini F, Vassura I, Monti F, Morselli L, Villani B. Indicators of waste management efficiency related to different territorial conditions. Waste Manage. 2011;31(4):785-792. DOI: 10.1016/j.wasman.2010.11.021.10.1016/j.wasman.2010.11.021
    Search in Google ScholarBack to article
  14. [14] Poll A.J. Variations in the composition of household collected waste. AEAT/ENV/R/1839, AEA Technology, Harwell, UK. 2004.
    Search in Google ScholarBack to article
  15. [15] Purcell M, Magette WL. Prediction of household and commercial BMW generation according to socio-economic and other factors for the Dublin region. Waste Manage. 2009;29(4):1237-1250. DOI: 10.1016/j.wasman.2008.10.011.10.1016/j.wasman.2008.10.011
    Search in Google ScholarBack to article
  16. [16] Daskalopoulos E, Badr O, Probert SD. Municipal solid waste: a prediction methodology for the generation rate and composition in the European Union countries and the USA. Resources Conserv Recycl. 1998;24(1):155-166. DOI: 10.1016/S0921-3449(98)00032-9.10.1016/S0921-3449(98)00032-9
    Search in Google ScholarBack to article
  17. [17] Mazzanti M, Zoboli R. Waste generation, waste disposal and policy effectiveness: evidence on decoupling from the European Union. Resources, Conserv Recycl. 2008;52(10):1221-1234. DOI: 10.1016/j.resconrec.2008.07.003.10.1016/j.resconrec.2008.07.003
    Search in Google ScholarBack to article
  18. [18] Emery AD, Griffiths AJ, Williams KP. An in depth study of the effects of socio-economic conditions on household waste recycling practices. Waste Manage Res. 2003;21(3):180-190. DOI: 10.1177/0734242X0302100302.10.1177/0734242X0302100302
    Search in Google ScholarBack to article
  19. [19] Keser S, Duzgun S, Aksoy A. Application of spatial and non-spatial data analysis in determination of the factors that impact municipal solid waste generation rates in Turkey. Waste Manage. 2012;32:359-371. DOI: 10.1016/j.wasman.2011.10.017.10.1016/j.wasman.2011.10.017
    Search in Google ScholarBack to article
  20. [20] Armstrong JS. Principles of Forecasting: A Handbook for Researchers and Practitioners. Boston: Kluwer Academic Publishers; 2001. https://marketing.wharton.upenn.edu/files/?whdmsaction=public:main.file&fileID=794.10.1007/978-0-306-47630-3
    Search in Google ScholarBack to article
  21. [21] Pawlak Z. Rough Sets. Theoretical Aspects of Reasoning about Data. Dordrecht: Kluwer Academic Press; 1991.10.1007/978-94-011-3534-4
    Search in Google ScholarBack to article
  22. [22] Nutech Solution - Science for Business. 2005. http://www.nutechsolutions.com.pl/.
    Search in Google ScholarBack to article
  23. [23] Nguyen HS. Tolerance Rough Set Model and Its Applications in Web Intelligence. IEEE/WIC/ACM Int Conf Web Intelligence and Intelligent Agent Technol. Workshop Proceedings. IEEE Computer Society. 2013:237-244. DOI: 10.1109/WI-IAT.2013.189.10.1109/WI-IAT.2013.189
    Search in Google ScholarBack to article
  24. [24] Pawlak Z. Rough set approach to knowledge-based decision support. Europ J Operat Res. 1997;99(1):48-57. DOI: 10.1016/S0377-2217(96)00382-7.10.1016/S0377-2217(96)00382-7
    Search in Google ScholarBack to article
  25. [25] Polkowski L, Skowron A. Rough mereological calculi of granules: A rough set approach to computation. Computat Intelligence. 2001;17(3):472-492. DOI: 10.1111/0824-7935.00159.10.1111/0824-7935.00159
    Search in Google ScholarBack to article
  26. [26] Renigier-Biłozor M, Wiśniewski R. The effectiveness of real estate market versus efficiency of its participants. Europ Spatial Res Policy. 2012;19(1):95-110. DOI: 10.2478/v10105-012-0008-5.10.2478/v10105-012-0008-5
    Search in Google ScholarBack to article
  27. [27] d’Amato M. Rough Set Theory as Automated Valuation Methodology: The Whole Story. Int Seminar Advancess in Mass Appraisal in Deft. 2006. https://scholar.google.pl/scholar?q=d%E2%80%99Amato+M.+Rough+Set+Theory+as+Automated+Valuation+Methodology:+The+Whole+Story.&hl=pl&as_sdt=0&as_vis=1&oi=scholart&sa=X&ved=0ahUKEwjByNqFiYnNAhVI2ywKHQ4LDqIQgQMIGjAA.
    Search in Google ScholarBack to article
  28. [28] Renigier-Biłozor M. Zastosowanie teorii zbiorów przybliżonych do masowej wyceny nieruchomości na małych rynkach (Application of rough set theory for mass valuation of real estate in small markets). Acta Scientarum Polonorum Administratio Locorum. 2008;7(3):35-51. http://wydawnictwo.uwm.edu.pl/artykul/14/czytelnia.html.
    Search in Google ScholarBack to article
  29. [29] Bański J. Współczesne typologie obszarów wiejskich w Polsce - przegląd podejść metodologicznych (Contemporary typologies of rural areas in Poland - an overview of methodological approaches). Przegląd Geograficzny. 2014;84(4):441-470. http://www.rcin.org.pl/Content/51257/WA51_70537_r2014-t86-z4_Przeg-Geogr-Banski.pdf.10.7163/PrzG.2014.4.1
    Search in Google ScholarBack to article
DOI: https://doi.org/10.1515/eces-2017-0022 | Journal eISSN: 2084-4549 | Journal ISSN: 1898-6196
Journal RSS Feed
Language: English
Page range: 311 - 325
Published on: Jul 13, 2017
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
mass accumulation of waste rate,
rough set theory,
rural areas
Related subjects:
Chemistry,
Sustainable and green chemistry,
Engineering,
Electrical engineering,
Energy engineering,
Life sciences,
Ecology

© 2017 Tomasz Szul, Jarosław Knaga, Krzysztof Nęcka, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 24 (2017): Issue 2 (June 2017)