Abstract

This paper aims to examine what policies are appropriate to balance conservation and community interests in the Maasai Mara. Grey Relational Analysis (GRA) is used to examine the relationship between indicators divided into two categories: wildlife species interests and economic industrial interests. A qualitative analysis is performed to establish a one-to-one linear correlation between the indicators. Multiple objective nonlinear programming and genetic algorithm are then applied to determine an objective function that quantizes the interests. Maximize the number of wildlife species and local community income by simulation. After the analysis of that simulation, an Fuzzy Comprehensive Evaluation (FCE) model combined with the Analytic Hierarchy Process (AHP) are employed to analyze the impact of different policies for different regions by studying the relationships between factors affecting the wildlife reserve, such as migration patterns of wildlife and the impact of human activities. This approach helps to determine the best policy decision based on the scores and pros and cons of each policy.

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