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This paper presents a Gaussian interval type-2 fuzzy characterization method for evaluating forest ecological security using heterogeneous big data. It introduces a new multi-indicator fuzzy evaluation method that addresses the complexities and ambiguities of ecological assessments, incorporating a Gaussian interval type-2 fuzzy cross-entropy and the MULTIMOORA ranking method. The proposed method is validated through a case study on site selection for the under-forest economy in the Yangtze River Delta regi

Author

yuc90626

Language

EN