Risk assessment with the fuzzy logic method for Ankara OIZ environmental waste water treatment plant

Abstract

In this study, occupational safety risk assessment has been performed for Ankara Chamber of Industry 2nd and 3rd Organized Industrial Zone (OIZ) Regional Directorate -Environmental Waste Water Treatment Plant (WWTP) by fuzzy logic method. In the literature, there are lots of risk assessment methodologies. These methods for the risk level do not give accurate results in systems such as WWTPs with a lot of complexity and variability. Also, these methods include strict lines and are not reflecting the practical issues of the real-world applications. For this reason, these methods are to be adopted by the use of fuzzy logic. Fuzzy Logic Risk Analysis Model which gives more realistic results compared to traditional methods based on probability. For fuzzy safety risk assessment firstly membership functions for input and output are created and values risk assessment input data is blurred then Fuzzy Risk Priority Number (FRPN) is determined in the Matlab 2013a software program. In this study a risk matrix merged with Fuzzy Logic model is developed to enhance the risk assessment process which is dealing with uncertainties that arise in each phase of the risk assessment process. RPN values were investigated and compared by 5x5 matrix and fuzzy logic method.

Improvement of Failure Mode and Effects Analysis Using Fuzzy and Adaptive Neuro-Fuzzy Inference System

“…Machines 2023, 11, x FOR PEER REVIEW 8 of 24 The third layer is the normalization layer which calculates normalized 𝑤′ (𝑖) firing strength belonging to each rule [37]. It is the ratio of the firing strength of the ith rule to the total of all firing strengths as given in (6).…”

“…The following systematic review [3] of papers on this topic, produced in the period between 1998 and 2018, points to a very quick increase in annual publications on FMEA improvement in the past two decades, after the publication of the review article by the above mentioned authors in 2013. The majority of papers selected the fuzzy logic system in an attempt to eliminate the disadvantages of the traditional FMEA based on "if-then" rules formed in fuzzy inference system (FIS) and improve upon calculated fuzzy RPN and risk prioritization, for example, for milling machines [4,5], environmental waste water treatment plant [6], automotive industry [7,8] and other industries [9][10][11][12][13][14][15]. For determining risk levels and prioritizing mitigation action for the risks, some authors have taken into account additional variables, for example, costs based on economic impact [16][17][18] or impact of assets, people, environment and/or reputation [19,20].…”

Application of a new fuzzy logic model known as "SMRGT" for estimating flow coefficient rate

“…However, these ideas were criticized by the western world. This philosophy brought a simple and contemporary solution to difficult and complex problems in a vast array of applications and fields such as science, maths, and engineering [2,3]. For the frequency fuzzy logic theory, Freksa stated that the facts are fuzzy, but their rules cannot be disregarded [4].…”

Arazi kullanımı ve Arazi Örtüsü Değişikliklerinin Uzaktan Algılama ve CBS Yöntemi ile İzlenmesi: Mersin, Türkiye Örneği

“…Uzaktan algılama (UA) ve Coğrafi Bilgi Sistemleri (CBS) bu değişikliğin tespit edilmesi ve izlenmesinde kullanılan güvenilir yöntemler arasında yer almaktadır (Kucukali & Kuşak, 2018;Ayazlı vd., 2020;Iban & Sahin, 2022;Bozkurt vd., 2023;Seyam vd., 2023;Türk & Balçık, 2023). UA ve CBS'nin entegrasyonu mekânsal ve görsel çıkarımlar yapılmasına imkân tanıyan uygun maliyetli bir araçtır (Doğan & Yakar, 218;Kusak vd., 2021;Coruhlu vd., 2022;Das Barnali & Dhorde, 2022;Erdem, 2022;Fidan & Ulvi, 2022;Oğuz vd., 2022;Tona vd., 2022;Ünel vd., 2023)…”