Application Integrated Fuzzy TOPSIS based on LCA Results and the Nearest Weighted Approximation of FNs for Industrial Waste Management Aluminum Industry: Arak Iran
Background/Objectives: Aluminum dross as waste is always a problematic issue. The aim of this study is to apply a systematic method for the Aluminum waste management system selection problem in environment management. Methods/Statistical Analysis: In this study, a methodology extended fuzzy TOPSIS and based on LCA is applied by using the nearest weighted interval approximations. The functional unit includes aluminum dross and aluminum scrap, which are defined as 1000 kg. The model is confirmed in the case of aluminum waste management in the city of Arak. The scenarios are ranked based on their closeness coefficient to the ideal solution. Results: Five scenarios, in a step wise manner were surveyed. Based on study results and particularly the closeness coefficients, Scenario S4 was assigned as the most preferred choice with a weight of 0.723514. Also the Scenario S1with a value of 0.448137, Scenario S5 with a value of 0.354226, Scenario S2 with a value of 0.314215 and Scenario S3 with a value of 0.204909 were ranked from second to fifth respectively. The results of the present study illustrated that the procedure is simple in calculations and set priorities. It is very appropriate for solving MCDM problems. Conclusion/Application: From the application perspective, this research will provide a valuable insight for managers to attempt to improve the environmental, social and economic condition all together at the same time.