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<RECORDS>
<RECORD>
<TITLE>A fuzzy mathematics approach in measuring air pollution from motor
 vehicles</TITLE>
<AUTHORS>
<AUTHOR>Soumak Biswas, Sripati Jha, Ramayan Singh</AUTHOR>
</AUTHORS>
<JOURNAL>Computational Ecology and Software</JOURNAL>
<ISSN>2220-721X</ISSN>
<YEAR>2012</YEAR>
<VOLUME>2</VOLUME>
<PAGES>160-168</PAGES>
<DATE>09/2012</DATE>
<PUBLISHER>International Academy of Ecology and Environmental Sciences</PUBLISHER>
<KEYWORDS>
<KEYWORD>pollution matrix(PM)</KEYWORD>
<KEYWORD>weighted pollution matrix(WPM)</KEYWORD>
<KEYWORD>pollution index</KEYWORD>
<KEYWORD>weight</KEYWORD>
<KEYWORD>air pollution</KEYWORD>
</KEYWORDS>
<ABSTRACT>
Air pollution from motor vehicle in cities specially in developing countries has been a major source of urban
air pollution and hence a cause of concern for the administrators of the cities as well as for researchers in the
field of ecology and mathematics. In the present work, the fuzzy membership functions for some of the
attributes regarding air pollution from motor vehicle are proposed. To study the index of air pollution in
different area of a city, the air pollution index is proposed, which takes into account the membership function
for the attributes of pollution. By applying a suitable interpolation formula (in our case Lagrange's 
interpolation formula) a polynomial curve is obtained, which gives the measure of air pollution at any point of
the city under certain assumptions. The effectiveness and suitability of the method is established by taking an
example.
</ABSTRACT>
<DOI>DOI 10.0000/issn-2220-721x-compuecol-2012-v2-0012</DOI>
<URL>http://www.iaees.org/publications/journals/ces/articles/2012-2(3)/a-fuzzy-mathematics-approach-in-measuring-air-pollution.pdf</URL>
</RECORD>
</RECORDS>
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