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Classification of a...
Classification of air quality monitoring stations using fuzzy similarity measures : A case study
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- Maji, K. J. (författare)
- Center for Environmental Science and Engineering (CESE), Indian Institute of Technology, Bombay, India
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- Dikshit, Anil Kumar (författare)
- Mälardalens högskola,Framtidens energi,Center for Environmental Science and Engineering (CESE), Indian Institute of Technology, Bombay, India
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- Deshpande, A. (författare)
- University of California, Berkeley, United States
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(creator_code:org_t)
- 2016-05-26
- 2016
- Engelska.
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Ingår i: Studies in Fuzziness and Soft Computing. - Cham : Springer International Publishing. - 1434-9922 .- 1860-0808. ; 342, s. 489-501
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The objective of designing and installation air quality monitoring network (AQMN) is to reduce network density with a view to acquire maximum information on air quality with minimum expenses. In spite of the best research efforts, there has been no general acceptance of any method for deciding the number of stations. Majority of the cities have, therefore, installed monitoring stations with their own guidelines. The present paper presents a useful formulation for classification of the existing air quality monitoring stations (AQMS) using fuzzy similarity measures. The case study has been demonstrated by applying the methodology to the already-installed AQMS in Delhi, India.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Air quality data
- Air quality monitoring network
- Classification
- Cosine amplitude and max–min method
- Fuzzy similarity measures
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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