Applying the topsis-f method to assess air pollution in vilnius

These days many works analyse air pollution, sources of air pollution, the impact of air pollution on human health, and ways to reduce air pollution. Since air pollution is affected by many factors, this paper presents a multi-attribute decision-making approach to assess air pollution. The proposed approach comprises four steps: selecting the attributes for the assessment, applying the TOPSIS-F method (the Technique for Order of Preference by Similarity to Ideal Solution with fuzzy sets) in the evaluation, measuring the selected attributes of air pollution in Vilnius, Lithuania, and evaluating air pollution levels. The TOPSIS-F methodwas applied to assess, from the above perspective, ten areas in Vilnius, outside several houses in Antakalnio Street and irmunuStreet. The experiment shows that House 5(35) in irmunu Street and House 8(28) in Antakalnio Street exposed to the lowest levels of air pollution, compared to other selected houses. Air pollution dramatically depends on the distance from the main road and the presence of a barrier.

[1]  Edmundas Kazimieras Zavadskas,et al.  Selection of Facade's Alternatives of Commercial and Public Buildings Based on Multiple Criteria , 2011 .

[2]  Edmundas Kazimieras Zavadskas,et al.  Multi-criteria selection of a deep-water port in the Eastern Baltic Sea , 2015, Appl. Soft Comput..

[3]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning - II , 1975, Inf. Sci..

[4]  Karel Skokan.  Technological and Economic Development of Economy , 2011 .

[5]  Morteza Yazdani,et al.  A hybrid MADM analysis in evaluating process of chemical wastewater purification regarding to advance oxidation processes , 2017 .

[6]  Georgeta Madalina Arama,et al.  Prediction of the concentration of pollutants wave in aquatic environment using rough set theory , 2017 .

[7]  Pranas Baltrenas,et al.  Modelling of motor transport exhaust gas influence on the atmosphere , 2008 .

[8]  Zenonas Turskis,et al.  Integrated Fuzzy Multiple Criteria Decision Making Model for Architect Selection , 2012 .

[9]  Arturas Kaklauskas,et al.  Assessment of Air Pollution PM10 in the City of Vilnius and its Influence on Life Quality , 2008 .

[10]  A. Žukauskaitė,et al.  Investigation of volatile organic compounds (VOCs) emission beyond the territory of oil terminals during different seasons , 2011 .

[11]  Jian Wang,et al.  A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction , 2017, Environmental research.

[12]  R. Teixeira.  Cost-effectiveness of optimizing concentrated feed blends to decrease greenhouse gas emissions , 2018 .

[13]  Kristin Aunan,et al.  The assessment of health damage caused by air pollution and its implication for policy making in Taiyuan, Shanxi, China , 2010 .

[14]  Fitz-Simons.  Guideline for reporting of daily air quality: Air Quality Index (AQI) , 1999 .

[15]  Jerzy Pasławski,et al.  Flexibility in highway noise management , 2009 .

[16]  Edmundas Kazimieras Zavadskas,et al.  Decision support system for innovation with a special emphasis on pollution , 2007 .

[17]  Iraj Mahdavi,et al.  Designing a model of fuzzy TOPSIS in multiple criteria decision making , 2008, Appl. Math. Comput..

[18]  E. Zavadskas,et al.  Application of E‐technologies for regional development: The case of Vilnius city , 2010 .

[19]  Edmundas Kazimieras Zavadskas,et al.  A method of multi-attribute assessment using ideal alternative: choosing an apartment with optimal indoor environment , 2012 .

[20]  Edmundas Kazimieras Zavadskas,et al.  Design of Products with Both International and Local Perspectives based on Yin-Yang Balance Theory and Swara Method , 2013 .

[21]  Godwin A. Ayoko,et al.  Multi-criteria ranking and source apportionment of fine particulate matter in Brisbane, Australia , 2009 .

[22]  Jurgita Antucheviciene,et al.  HYBRID MULTIPLE CRITERIA DECISION MAKING METHODS: A REVIEW OF APPLICATIONS IN ENGINEERING , 2016 .

[23]  Edmundas Kazimieras Zavadskas,et al.  Model for a Complex Analysis of Intelligent Built Environment , 2010 .

[24]  Sancho Salcedo-Sanz,et al.  Spatial regression analysis of NOx and O3 concentrations in Madrid urban area using Radial Basis Function networks , 2009 .

[25]  Jerzy Pasławski.  Highway noise management using advisory system , 2008 .

[26]  Luis Ferreira,et al.  Development of a particle number and particle mass vehicle emissions inventory for an urban fleet , 2009, Environ. Model. Softw..

[27]  Khalil Md Nor,et al.  Development of TOPSIS Method to Solve Complicated Decision-Making Problems - An Overview on Developments from 2000 to 2015 , 2016, Int. J. Inf. Technol. Decis. Mak..

[28]  F. Costabile,et al.  A new approach to link transport emissions and air quality: An intelligent transport system based on the control of traffic air pollution , 2008, Environ. Model. Softw..

[29]  Edmundas Kazimieras Zavadskas,et al.  Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara) , 2010 .

[30]  Edmundas Kazimieras Zavadskas,et al.  An approach to multi‐attribute assessment of indoor environment before and after refurbishment of dwellings , 2009 .

[31]  P. Davy,et al.  Influence of environmental conditions on carbonaceous particle concentrations within New Zealand , 2010 .

[32]  Jurgita Antucheviciene,et al.  Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues , 2016 .

[33]  Serdar Ulubeyli,et al.  A multiple criteria decision‐making approach to the selection of concrete pumps , 2009 .

[34]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[35]  Edmundas Kazimieras Zavadskas,et al.  Risk assessment of construction projects , 2010 .

[36]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[37]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[38]  Edmundas Kazimieras Zavadskas,et al.  Modelling and forecasting of a rational and sustainable development of Vilnius: emphasis on pollution , 2007 .

[39]  Helmut Mayer,et al.  Evolution of the air pollution in SW Germany evaluated by the long-term air quality index LAQx , 2008 .

[40]  Morteza Yazdani,et al.  Intuitionistic fuzzy edas method: an application to solid waste disposal site selection , 2017 .

[41]  Marjana Šijanec Zavrl,et al.  Multicriterial sustainability assessment of residential buildings , 2009 .

[42]  F. Karaca,et al.  Prediction of sources of metal pollution in rainwater in Istanbul, Turkey using factor analysis and long-range transport models , 2010 .

[44]  Maria Gavrilescu,et al.  Costs analysis of municipal solid waste management scenarios: IASI – Romania case study , 2016 .

[45]  Ground-level Ozone Air Pollution in Vilnius City , 2009 .

[46]  Marius Jakimavičius,et al.  Assessment of vilnius city development scenarios based on transport system modelling and multicriteria analysis , 2009 .

[47]  Eglė Šiožinytė,et al.  Upgrading the old vernacular building to contemporary norms: multiple criteria approach , 2014 .