The application of grey clustering analysis on social impact assessment of natural forest protection project

Abstract

The social impact assessment method and evaluation system were put forward with the actual situation of the natural forest protection project in Henan Province. Grey clustering method was introduced to evaluate the social impact of the project. The evaluation items were rebuilt by the analytic hierarchy process (AHP). The Sub-category of gray was found according to evaluation indicators results of social impact of the natural forest protection project, and the triangle whitening weight function were calculated. The synthetic clustering coefficient was σ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">hn</inf> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> = 57.04, indicating that the effectiveness of the social impact of natural forest protection project in Henan Province is still a “normal” gray. However, the values of σ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">hn</inf> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> (43.91) and σ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">hn</inf> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> were quite close, it showed that the social impact of natural forest protection project has begun to benefit from the “general” to “strong” transition.