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Application of Fuzzy Factor Comparison Method for Evaluation of Key Performance Indicators Affecting Air Quality in India: A Decision Matrix Approach for Mitigating Anthropogenic Pollution Sources (Record no. 132552)

MARC details
000 -LEADER
fixed length control field 02432nam a22001337a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250822b |||||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Janki Pandya
245 ## - TITLE STATEMENT
Title Application of Fuzzy Factor Comparison Method for Evaluation of Key Performance Indicators Affecting Air Quality in India: A Decision Matrix Approach for Mitigating Anthropogenic Pollution Sources
300 ## - PHYSICAL DESCRIPTION
Extent p175–193
520 ## - SUMMARY, ETC.
Summary, etc. biblio.abstract The fuzzy Factor-Comparison-Method (Fuzzy-FCM) is based on the Multi-Criteria-Decision-Making Method which is the paired type comparison method between Key-Performance- Indicators (KPIs) which are the factors affecting air quality in urban regions. This paper aims at the identification of important KPIsaffecting air quality of urban regions of India by using Fuzzy-FCM.Twelve KPIs out of a total of forty-four total identified KPIs have been shortlisted using the FCM technique. These KPIs belong to the six parameters like meteorological, natural, land useand landcover, urbanization, transportation and miscellaneous. Furthermore, the machine learning tool Random Forest (RF) has been applied to identify the weightage of the twelve KPIs in the urbanregion of India.The results indicate that the parameter with the highest impact is "latitude," followed by "population density" and "month of the year," with relative importance percentages of 100%, 96.9%, and 92.1%, respectively. This study also aims to manage high pollution days observed mostly in the Indo-Gangetic plain. As observed in Delhi during winter, the Air-Quality-Index (AQI) value increases to a huge extent thereby creating a hazardous condition which is tremendously harmful for the residents of Delhi. A decision matrix has been developed to find out the feasible option for anthropogenic causes which is responsible for abrupt increase of AQI. This can be mitigated through proper management of the harvested crops through in-situ crop management system. This novel approach shows a better method for managing air quality and will play a key role in creating a model to predict and understand the air quality of urban regions.
654 ## - SUBJECT ADDED ENTRY--FACETED TOPICAL TERMS
Subject <a href="Air Pollution and Air Quality ">Air Pollution and Air Quality </a>
-- <a href="Environmental Management ">Environmental Management </a>
-- <a href="Five Factor Model ">Five Factor Model </a>
-- <a href="Industrial Pollution Prevention ">Industrial Pollution Prevention </a>
-- <a href="Multivariate Analysis ">Multivariate Analysis </a>
-- <a href="Social Indicators">Social Indicators</a>
773 0# - HOST ITEM ENTRY
Host Biblionumber 80299
Host Itemnumber 113444
Place, publisher, and date of publication Germany Springer Nature India Private limited
Title Journal of the Institution of engineers (India): series A
International Standard Serial Number 2250-2149
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
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    Dewey Decimal Classification     SNDT Juhu SNDT Juhu 22/08/2025   JP866.13 22/08/2025 22/08/2025 Journal Article