The paper reports a study on the air quality over Kolkata, India during the transition period from post-monsoon to winter. A fuzzy binary relation based approach is implemented to O3, N O2 and P M2 5 and the overall air quality index (AQI). Individual pollutants have been converted to fuzzy sets based on their concentrations as elements of the universe of discourse with appropriate fuzzy membership functions defined on them. AQI has been divided into categories based on the recommendations of the Central Pollution Control Board (CPCB), Govt of India. After defining the fuzzy relations, the fuzzy composite relations have been derived to construct fuzzy membership matrices based on the composite binary fuzzy relations. Afterwards, the membership grades of the matrices for the composite fuzzy binary relations have been studied and N O₂ along with O₃ have been consideblack as having highly significant influence on the overall AQI over the polluted study zone during the transition from post-monsoon to winter.

该论文报道了从季风到冬季过渡时期印度加尔各答的空气质量的研究。对O3，N O2和P M2 5以及总体空气质量指数（AQI）实施了基于模糊二元关系的方法。单个污染物已根据其作为话语范围要素的浓度转换为模糊集，并在其上定义了适当的模糊隶属函数。根据印度政府中央污染控制委员会（CPCB）的建议，将AQI分为几类。在定义了模糊关系之后，导出了模糊复合关系，以基于复合二进制模糊关系构造模糊隶属度矩阵。之后，研究了复合模糊二元关系的矩阵的隶属度，从季风到冬季的过渡过程中，₂和O ₃一起被认为对受污染研究区的总体AQI有很大的影响。