Volume 36, Issue 1 (IJIEPR 2025)                   IJIEPR 2025, 36(1): 195-212 | Back to browse issues page


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Ghasemi M, Seifbarghy M, Aydin N, Chattinnawat W. Designing a Fuzzy Inference System for Measuring Sustainability Level in Livestock Centers with a Real Case Study. IJIEPR 2025; 36 (1) :195-212
URL: http://ijiepr.iust.ac.ir/article-1-2165-en.html
1- Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran
2- Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran , seifbar@yahoo.com
3- College of Science and Engineering, Hamad Bin Khalifa University, 34110 Doha, Qatar
4- Department of Industrial Engineering, Chiang Mai University, Chiang Mai, Thailand
Abstract:   (444 Views)
One of the most important issues regarding community health is animal health, followed by the health of animal products. Providing a sustainable environment for production facilities like livestock centers is essential. In this study, we have proposed designing four fuzzy inference systems for managing the sustainability of livestock centers. The first, second, and third systems are applied for the economic, social, and environmental dimensions. The fourth is for a system whose output is the sustainability level while its inputs are the three addressed sustainability dimensions. The data source was experts' judgment, and the major limitation of this research was access to a limited number of experts in making system rules. The validation is made by cross-checking with other experts. Considering a maximum of 10 points for each sustainability dimension and supposing that the economic dimension is 5.05, the social dimension is 7.77 and the environmental dimension is 8.12, the sustainability level turns out to be 7.92
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Type of Study: Research | Subject: Intelligent Systems
Received: 2024/10/27 | Accepted: 2025/02/17 | Published: 2025/03/30

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