Application of Soft Computing in waste management technology development: calculation of equipment capacity and consumption
19th International Symposium on Applied Computational Intelligence and Informatics-SACI-Annual, Timisoara, Romania, 19 - 24 May 2025, pp.507-512, (Full Text)
- Publication Type: Conference Paper / Full Text
- Doi Number: 10.1109/saci66288.2025.11030182
- City: Timisoara
- Country: Romania
- Page Numbers: pp.507-512
- Azerbaijan State University of Economics (UNEC) Affiliated: Yes
Abstract
Analyzing the financial and environmental impacts of technological developments in waste management is crucial for economic sustainability. This paper presents a soft computing method for optimizing performance and consumption in decision-making. Waste management equipment requires performance and consumption data. Waste composition varies by region and season, affecting shredder performance. Soft computing techniques, such as fuzzy logic, manage changing conditions and optimize equipment use. The Mamdani system helps select appropriate equipment and plan costs by handling performance and consumption uncertainty. The Mamdani system was used in the Fuzzy Logic Toolbox of MATLAB for design and simulation using Fuzzy Logic Designer, defining "Consumption" and "Performance" in "Low", "Medium", and "High" fuzzy sets. After defining rules and defuzzification with Centroid method, the developed Mamdani surface showed compliance values with "low" (38 liters/hour) consumption and "high" (50 tons/hour) performance, resulting in a "good" performance output of 0.163. In summary, a new fuzzy logic model was developed, offering significant advantages in green waste management by handling uncertain conditions, indirectly contributing to increased collection and use of green waste.