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

Author:

Szul Tomasz1,Knaga Jarosław1,Nęcka Krzysztof1

Affiliation:

1. Faculty of Production and Power Engineering, University of Agriculture in Krakow, ul. Balicka 116B, 30-149 Kraków , Poland

Abstract

Abstract The method based on rough set theory (RST) was used in the study to establish the rate of mass accumulation of waste in households in rural areas, which are characterised by different economic types, in case of which traditional statistical analyses are usually hardy reliable. The following indicators available in the General Statistical Office’s statistics were used in the analysis: population density, income level, main source of income, economic type of the municipality, area of agricultural land, age of the buildings and participation of gaseous fuels in meeting heat demands. The method shown should not be considered as a competition for statistical methods, but it could complement them, especially in cases when there are few objects to analyse, the more so as it proves useful in cases where input data are general, imprecise and uncertain. As has been shown in the study, with such data and a small number of objects, the relative error of estimation was 13% on average.

Publisher

Walter de Gruyter GmbH

Subject

Environmental Chemistry,Environmental Engineering

Reference29 articles.

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.

2. [2] European Union Statistics. Eurostat. Waste statistics. 2016. http://ec.europa.eu/eurostat/statistics-explained/index.php/waste_statistics.

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.

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.

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.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3