CALCULATION OF WASTE QUANTITIES WITHIN THE SCOPE OF CIRCULAR ECONOMY WITH FUZZY LOGIC: THE CASE OF TURKEY

Nuh Okumuş; Abdullah Kargın

Makale detayları

CALCULATION OF WASTE QUANTITIES WITHIN THE SCOPE OF CIRCULAR ECONOMY WITH FUZZY LOGIC: THE CASE OF TURKEY

Yazarlar:

Nuh Okumuş | Abdullah Kargın

Yayıncı:

Adıyaman University

Ana Başlıklar:

Uygulamalı Makro Ekonometri

Dergi:

Adıyaman Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue 49, pp.704-736

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001346690

pISSN:

1308-9196

Anahtar kelimeler:

Özet:

 In this study, an artificial intelligence-supported application was developed to determine the annual waste quantities of 81 provinces in Turkey. Fuzzy Matlab interface based on fuzzy logic was used for this application. In order to see the usability of the application, the total waste data for 2020 determined by TurkStat was used. Industrial, Mining-Thermal, Health Institution and Population criteria were taken into consideration in the classification of waste. This classification was preferred as TurkStat data is classified under these categories. With this application, the amount of waste to be collected from 81 provinces in 2020 was determined. Thus, it was aimed to estimate the amount of waste by province and increase efficiency in waste management processes. The findings obtained can help local governments and relevant stakeholders develop more effective policies towards achieving zero waste targets by providing concrete data to improve waste management strategies. Increasing the use of AI-supported waste management systems will not only increase environmental sustainability, but will also allow waste to be recycled into the economy. As a result, such research will not only increase efficiency in Turkeys waste management, but also contribute to taking another step towards achieving the zero waste target.

 In this study, an artificial intelligence-supported application was developed to determine the annual waste quantities of 81 provinces in Turkey. Fuzzy Matlab interface based on fuzzy logic was used for this application. In order to see the usability of the application, the total waste data for 2020 determined by TurkStat was used. Industrial, Mining-Thermal, Health Institution and Population criteria were taken into consideration in the classification of waste. This classification was preferred as TurkStat data is classified under these categories. With this application, the amount of waste to be collected from 81 provinces in 2020 was determined. Thus, it was aimed to estimate the amount of waste by province and increase efficiency in waste management processes. The findings obtained can help local governments and relevant stakeholders develop more effective policies towards achieving zero waste targets by providing concrete data to improve waste management strategies. Increasing the use of AI-supported waste management systems will not only increase environmental sustainability, but will also allow waste to be recycled into the economy. As a result, such research will not only increase efficiency in Turkeys waste management, but also contribute to taking another step towards achieving the zero waste target.

 In this study, an artificial intelligence-supported application was developed to determine the annual waste quantities of 81 provinces in Turkey. Fuzzy Matlab interface based on fuzzy logic was used for this application. In order to see the usability of the application, the total waste data for 2020 determined by TurkStat was used. Industrial, Mining-Thermal, Health Institution and Population criteria were taken into consideration in the classification of waste. This classification was preferred as TurkStat data is classified under these categories. With this application, the amount of waste to be collected from 81 provinces in 2020 was determined. Thus, it was aimed to estimate the amount of waste by province and increase efficiency in waste management processes. The findings obtained can help local governments and relevant stakeholders develop more effective policies towards achieving zero waste targets by providing concrete data to improve waste management strategies. Increasing the use of AI-supported waste management systems will not only increase environmental sustainability, but will also allow waste to be recycled into the economy. As a result, such research will not only increase efficiency in Turkeys waste management, but also contribute to taking another step towards achieving the zero waste target.

 Bu çalışmada, Türkiyedeki 81 ilin ayrı ayrı yıllık atık miktarlarını belirlemek amacıyla yapay zeka destekli bir uygulama yapıldı. Bu uygulama için bulanık mantık temelli Fuzzy Matlab ara yüzü kullanıldı. Uygulamanın kullanılabilirliğini görmek için TÜİK tarafından belirlenen 2020 yılı toplam atık verileri kullanıldı. Atıkların sınıflandırılmasında Sanayi, Maden-Termik, Sağlık Kuruluşu ve Nüfus kriterleri göz önünde bulunduruldu. Bu sınıflandırma, TÜİK verilerinin bu kategoriler altında sınıflandırılmış olması nedeniyle tercih edilmiştir. Bu uygulama ile 81 ilden 2020 yılında toplanması gereken atık miktarı belirlendi. Böylece illere göre atık miktarını tahmin etmek ve atık yönetimi süreçlerinde verimliliği artırma amaçlandı. Elde edilen bulgular, yerel yönetimlerin ve ilgili paydaşların atık yönetimi stratejilerini iyileştirmelerine yönelik somut veriler sunarak, sıfır atık hedeflerine ulaşma yolunda daha etkin politikalar geliştirmelerine yardımcı olabilir. Yapay zekâ destekli atık yönetimi sistemlerinin kullanımının artırılması, yalnızca çevresel sürdürülebilirliği artırmakla kalmayacak, aynı zamanda atıkların ekonomiye kazandırılmasına da olanak sağlayacaktır. Sonuç olarak, bu tür araştırmalar, Türkiyenin atık yönetiminde verimliliği artırırken, aynı zamanda sıfır atık hedefine ulaşma yolunda bir adım daha atılmasına katkı sağlayacaktır.

Makale detayları

CALCULATION OF WASTE QUANTITIES WITHIN THE SCOPE OF CIRCULAR ECONOMY WITH FUZZY LOGIC: THE CASE OF TURKEY

Yazarlar:

Nuh Okumuş | Abdullah Kargın

Yayıncı:

Adıyaman University

Ana Başlıklar:

Uygulamalı Makro Ekonometri

Dergi:

Adıyaman Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue 49, pp.704-736

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001346690

pISSN:

1308-9196

Fuzzy Logic

Fuzzy Matlab Interface

Artificial Intelligence

Waste Amount

Zero Waste

Recycling.Bulanık Mantık

Fuzzy Matlab Ara Yüzü

Yapay Zeka

Atık Miktarı

Sıfır Atık

Geri Dönüşüm.

Sayı

Makale detayları

Yazarlar: Nuh Okumuş | Abdullah Kargın

Yayıncı: Adıyaman University

Ana Başlıklar: Uygulamalı Makro Ekonometri

Dergi: Adıyaman Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue 49, pp.704-736

Belge Tipi: Makale

Yayın Tarihi: 4/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001346690

pISSN: 1308-9196

Sayı

Yazarlar:

Nuh Okumuş | Abdullah Kargın

Yayıncı:

Adıyaman University

Ana Başlıklar:

Uygulamalı Makro Ekonometri

Dergi:

Adıyaman Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue 49, pp.704-736

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001346690

pISSN:

1308-9196