Risk based Optimal Ranking of Polluted Cities in a
Fuzzy Environment: A Case Study
Journal:
GRENZE International Journal of Engineering and Technology
Authors:
Ashok Deshpande, Jyoti Yadav
Volume:
3
Issue:
1
Grenze ID:
01.GIJET.3.1.3
Pages:
1-6
Abstract
The debate on climate change, air pollution and human health risk has reached a
steady state. Growing incidence of respiratory diseases in major cities could be attributed to
phenomenon increase in air pollution levels due to exhaust from diesel and petrol driven
vehicles and also emissions from thermal power plants in or near a city. Though extremely
important, initiating mitigation measures for the reduction in air pollution levels in cities is
not only expensive but also time consuming. It is, therefore, necessary to devise a suitable
mathematical frame work to assist decision makers in ranking of polluted cities based on
defined constraints. The paper presents fuzzy logic based formalisms to decide risk based
optimal ranking of polluted cities in a fuzzy environment with a case study in Maharashtra
State India.