This research paper focuses on the application of fuzzy clustering techniques to analyze investment projects in Tabriz Municipality Waste Management Organization, with an ecological approach. Waste management organizations face the challenge of effectively prioritizing and allocating resources to various investment projects that aim to address environmental concerns. In this study, a fuzzy clustering methodology is employed to group investment projects based on their ecological characteristics, considering factors such as waste reduction, recycling, renewable energy utilization, and environmental impact. By analyzing project data and employing fuzzy clustering algorithms, this research provides a comprehensive analysis of investment project clusters, highlighting their ecological features and potential synergies. The findings contribute to informed decision-making in the prioritization of investment projects and the optimization of resource allocation in waste management organizations, fostering sustainable and environmentally friendly practices.

Fuzzy clustering, Investment projects, Waste management

Zhang, L., Jin, Z., Zheng, Y., & Jiang, R. (2019). Mechanical product ecological design knowledge reduction based on rough set.Procedia CIRP,80, 33-38, DOI:10.1016/j.procir.2019.01.030

Li, A., & Zheng, H. (2021). Energy security and sustainable design of urban systems based on ecological network analysis.Ecological Indicators,129, 107903, https://doi.org/10.1016/j.ecolind.2021.107903

Kumar, S. (Ed.). (2010).Waste management. BoD–Books on Demand.

Hoornweg, D., & Bhada-Tata, P. (2012). What a waste: a global review of solid waste management.

Byrne, J. A., & Houston, D. (2020). Urban ecology.

Ghosh, S. K. (Ed.). (2020).Urban Mining and Sustainable Waste Management. Springer Nature.

Sengupta, D., & Agrahari, S. (Eds.). (2017).Modelling trends in solid and hazardous waste management. Springer Singapore.41

Gandy, M. (2014).Recycling and the politics of urban waste. Routledge.

Rogoff, M. J. (2013).Solid waste recycling and processing: planning of solid waste recycling facilities and programs. Elsevier.

Nahaei, V. S., & Bahrami, M. (2021). Uncertainty analysis of business components in Iran with fuzzy systems: By comparing hypermarkets and Net markets.International Journal of Innovation in Management, Economics and Social Sciences,1(1), 45-55,https://doi.org/10.52547/ijimes.1.1.45