Green supply chain performance based on unascertained means cluster

Unascertained means clustering methodology combines unascertained theory and clustering theory to construct unascertained measurements which measures the degree of collective affiliation between samples and category. By considering both financial and non-financial factors, this paper constructs a green supply chain performance evaluation system which contains 17 secondary indicators based on financial condition, customer service, operation flow and degree of green. According to this system, we apply the unascertained means clustering methodology to evaluate the performance of green supply chain, derive the clustering results and present the degree of affiliation of the samples. Unascertained average clustering theory solved the classification problem of green supply chain performance as well as improving the credibility of the evaluation. Finally, this paper ends up with the discussion of the feasibility and effectiveness of this system.