Evidence Theory and Fuzzy Relational Calculus in Estimation of Health Effects Due to Air Pollution

With an overall objective of establishing association between air pollutants and incidence of respiratory diseases, the environmental professionals and medical practitioners have made significant contribution, using statistical mechanics in modelling epidemiological data, population characteristics,...

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Main Authors: Yadav Jyoti, Kharat Vilas, Deshpande Ashok
Format: Article
Language:English
Published: De Gruyter 2013-03-01
Series:Journal of Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1515/jisys-2012-0018
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spelling doaj-51e1116d9e774b95a27803eee25f57442021-09-06T19:40:35ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2013-03-0122192310.1515/jisys-2012-0018Evidence Theory and Fuzzy Relational Calculus in Estimation of Health Effects Due to Air PollutionYadav Jyoti0Kharat Vilas1Deshpande Ashok2Department of Computer Science, University of Pune, IndiaDepartment of Computer Science, University of Pune, IndiaCollege of Engineering Pune, IndiaWith an overall objective of establishing association between air pollutants and incidence of respiratory diseases, the environmental professionals and medical practitioners have made significant contribution, using statistical mechanics in modelling epidemiological data, population characteristics, and pollution parameters. Broadly speaking, the studies have shown that the increase in vehicular traffic has been one of the causes of respiratory diseases. However, the WHO Centre for Environment and Health, Europe in its 2005 document states: “There is little evidence for a causal relationship between asthma prevalence/incidence and air pollution in general, though the evidence is suggestive of a causal association between the prevalence/incidence of asthma symptoms and living in close proximity to traffic”. Decision making process in a real world is invariably based on perceptions which are expressed in words or may be in numeric terms and not in probability terms. In the paper, we made an attempt to model the perceptions of experienced pulmonologists in arriving at their combined degree of belief/plausibility/ignorance for all the possible combinations of identified respiratory diseases, using evidence theory and fuzzy relational calculus without collecting sizeable parametric data accumulated over a period of years. Tightening pollution norms by the regulatory authorities is an overall objective of the global efforts on greenhouse gases (GHS) reduction in general, and air pollution mitigation in particular. The concept of solar battery operated electric vehicles (SBOEV) for road transport is advocated, initially for two/three wheelers, and extending it to four wheelers, especially in the developing countries.https://doi.org/10.1515/jisys-2012-0018air pollutionrespiratory diseasespulmonologistsdempster–shafer theorybelief and plausibility measurescombined belief and ignorance
collection DOAJ
language English
format Article
sources DOAJ
author Yadav Jyoti
Kharat Vilas
Deshpande Ashok
spellingShingle Yadav Jyoti
Kharat Vilas
Deshpande Ashok
Evidence Theory and Fuzzy Relational Calculus in Estimation of Health Effects Due to Air Pollution
Journal of Intelligent Systems
air pollution
respiratory diseases
pulmonologists
dempster–shafer theory
belief and plausibility measures
combined belief and ignorance
author_facet Yadav Jyoti
Kharat Vilas
Deshpande Ashok
author_sort Yadav Jyoti
title Evidence Theory and Fuzzy Relational Calculus in Estimation of Health Effects Due to Air Pollution
title_short Evidence Theory and Fuzzy Relational Calculus in Estimation of Health Effects Due to Air Pollution
title_full Evidence Theory and Fuzzy Relational Calculus in Estimation of Health Effects Due to Air Pollution
title_fullStr Evidence Theory and Fuzzy Relational Calculus in Estimation of Health Effects Due to Air Pollution
title_full_unstemmed Evidence Theory and Fuzzy Relational Calculus in Estimation of Health Effects Due to Air Pollution
title_sort evidence theory and fuzzy relational calculus in estimation of health effects due to air pollution
publisher De Gruyter
series Journal of Intelligent Systems
issn 0334-1860
2191-026X
publishDate 2013-03-01
description With an overall objective of establishing association between air pollutants and incidence of respiratory diseases, the environmental professionals and medical practitioners have made significant contribution, using statistical mechanics in modelling epidemiological data, population characteristics, and pollution parameters. Broadly speaking, the studies have shown that the increase in vehicular traffic has been one of the causes of respiratory diseases. However, the WHO Centre for Environment and Health, Europe in its 2005 document states: “There is little evidence for a causal relationship between asthma prevalence/incidence and air pollution in general, though the evidence is suggestive of a causal association between the prevalence/incidence of asthma symptoms and living in close proximity to traffic”. Decision making process in a real world is invariably based on perceptions which are expressed in words or may be in numeric terms and not in probability terms. In the paper, we made an attempt to model the perceptions of experienced pulmonologists in arriving at their combined degree of belief/plausibility/ignorance for all the possible combinations of identified respiratory diseases, using evidence theory and fuzzy relational calculus without collecting sizeable parametric data accumulated over a period of years. Tightening pollution norms by the regulatory authorities is an overall objective of the global efforts on greenhouse gases (GHS) reduction in general, and air pollution mitigation in particular. The concept of solar battery operated electric vehicles (SBOEV) for road transport is advocated, initially for two/three wheelers, and extending it to four wheelers, especially in the developing countries.
topic air pollution
respiratory diseases
pulmonologists
dempster–shafer theory
belief and plausibility measures
combined belief and ignorance
url https://doi.org/10.1515/jisys-2012-0018
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