A novel, fuzzy-based air quality index (FAQI) for air quality assessment

Sowlat, Mohammad H.; Gharibi, Hamed; Yunesian, Masud; Mahmoudi, Maryam Tayefeh; Lotfi, Saeedeh

doi:10.1016/j.atmosenv.2011.01.060

Cited by 114 publications

(48 citation statements)

References 26 publications

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“…In a study conducted by Hájek and Olej (2009), criteria air pollutants as well as meteorological parameters were included in the air quality index, using fuzzy inference system. The results suggest that fuzzy logic is a suitable tool for air quality assessment (Sowlat et al 2011). Curtis et al (2006) pointed that atmospheric pollutants linked too many types of health problems of many body systems including the respiratory, cardiovascular, immunological, haematological, neurological and reproductive/developmental systems.…”

Section: Introductionmentioning

confidence: 99%

Modelling sulphur dioxide levels of Konya city using artificial intelligent related to ozone, nitrogen dioxide and meteorological factors

Dursun

Kunt

Taylan

2015

Int. J. Environ. Sci. Technol.

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Increasing industrial developments increased the environmental pollution problems in many cities of the world. Air quality modelling and indexes are used to introduce the information on local air quality indicators in polluted regions. Estimation and monitoring of air quality in the city centres are important due to environmental health and comfort of human-related topics. Air quality approximation is a complicate subject that artificial intelligent techniques are successfully used for modelling the complicated and nonlinear approximation problems. In present study, artificial neural network and an adaptive neuro-fuzzy logic method developed to approximate the impact of certain environmental conditions on air quality and sulphur dioxide pollution level and used with this study in Konya city centre. Data of sulphur dioxide concentrations were collected from 15 selected points of Konya city for prediction of air quality. Using air quality standards, air quality was discussed by considering the sulphur dioxide concentration as independent variables with meteorological parameters. Different meteorological parameters were used for investigation of pollution relation. One of the important modelling tools, adaptive network-based fuzzy inference system model, was used to assess performance by a number of checking data collected from different sampling stations in Konya. The outcomes of adaptive network-based fuzzy inference system model was evaluated by fuzzy quality charts and compared to the results obtained from Turkey and Environmental Protection Agency air quality standards. From the present results, fuzzy rule-based adaptive network-based fuzzy inference system model is a valuable tool prediction and assessment of air quality and tends to propagate accurate results.

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Section: Introductionmentioning

confidence: 99%

Modelling sulphur dioxide levels of Konya city using artificial intelligent related to ozone, nitrogen dioxide and meteorological factors

Dursun

Kunt

Taylan

2015

Int. J. Environ. Sci. Technol.

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“…Comprehensive Quality of table grape was proposed by combining Color, Cleanliness, Taste, Odor and Texture with their weights. Fuzzy Synthetic Evaluation is a method to combine many detailed attributes into a single comprehensive index, which has been used in similar studies (Sowlat et al 2011;Gharibi et al 2012). This method is adopted to calculate the Comprehensive quality.…”

Section: Overall Quality Changes and Relationship With Overall Acceptmentioning

confidence: 99%

Evaluation on home storage performance of table grape based on sensory quality and consumers’ satisfaction

et al. 2016

J Food Sci Technol

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With continuous rise of table grapes consumption and increased public awareness of food safety, the quality control of grapes in storage after purchase is not sufficiently examined. Home storage constitutes the last and important stage in grape supply chain. Literature review shows that few researches on grape quality focus on the home storage stage compared with numerous researches reported on the quality control during postharvest and transportation process. This paper reports the performance evaluation of grape quality at home storage and consumers' satisfaction using integrated sensory evaluations. The internal attributes, including Texture, Taste and Odor of the table grapes and the appearance indices, Color and Cleanliness are examined. Key results show that during home storage, all the internal attributes decrease rapidly as time goes on, and cleanliness and color appear to be deteriorating in a lower speed. A comprehensive quality index was created to measure the quality of table grape which has high correlation with the Overall acceptability perceived by consumers.

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“…FIS has been used in many applications since then. It has been applied in environmental models including: waste management (Vesely et al, 2016) forecasting air quality (Carbajal-Hernández et al, 2012a;Fisher, 2006;Sowlat et al, 2011) water quality (Carbajal-Hernández et al, 2012b;Che Osmi et al, 2016;Gharibi et al, 2012;Ocampo-Duque et al, 2006) models for performing risk assessment (Camastra et al, 2015;Jamshidi et al, 2013;Rodríguez et al, 2016) in the field of manufacturing and sales for supporting customers' requirements (Juang et al, 2007) forecasting automobile sales (Wang et al, 2011) stock price prediction (Chang & Liu, 2008) supplier selection (Lima Junior et al, 2013) measuring customer satisfaction (Zani et al, 2013). Similarly to our model, FIS has been applied in models for evaluating the performance level of several fields (Nadali et al, 2011;Nilashi et al, 2015).…”

Section: A Fuzzy Logic Approachmentioning

confidence: 99%

A fuzzy logic-based model for analysis and evaluation of services in a manufacturing company

Oblak¹,

Kuzman²,

Grošelj³

2017

Istrazivanja I Projektovanja Za Privredu

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A novel, fuzzy-based air quality index (FAQI) for air quality assessment

Cited by 114 publications

References 26 publications

Modelling sulphur dioxide levels of Konya city using artificial intelligent related to ozone, nitrogen dioxide and meteorological factors

Modelling sulphur dioxide levels of Konya city using artificial intelligent related to ozone, nitrogen dioxide and meteorological factors

Evaluation on home storage performance of table grape based on sensory quality and consumers’ satisfaction

A fuzzy logic-based model for analysis and evaluation of services in a manufacturing company

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