A fuzzy mathematics approach in measuring air pollution from motor vehicles

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...

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Bibliographic Details
Main Authors: Soumak Biswas, Sripati Jha, Ramayan Singh
Format: Article
Language:English
Published: International Academy of Ecology and Environmental Sciences 2012-09-01
Series:Computational Ecology and Software
Subjects:
Online Access:http://www.iaees.org/publications/journals/ces/articles/2012-2(3)/a-fuzzy-mathematics-approach-in-measuring-air-pollution.pdf
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Summary: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.
ISSN:2220-721X