The Pachaimalai Hills, a set of hills in the Eastern Ghats of India, are well-known for their dense scrubby forest and historical distribution of sandalwood over the hill area. Bamboo is also grown in the area at the foot of the hills, close to Sobanapuram. This study outlines a strategy that can support decisionmakers in understanding, articulating, and capturing the value of biodiversity and ecosystem services. Multiple Attribute Group Decision Making (MAGDM) has emerged as an effective methodology due to its ability to combine quantitative and qualitative criteria for selection of the best alternative. Concurrently, Intuitionistic Fuzzy Logic is gaining importance due to its flexibility in handling imprecise subjective data. In the present study, an Intuitionistic fuzzy MAGDM method based on different ranking methods are adopted and developed as a Intuitionistic Fuzzy Decision System (IFDS) and applied to a case study of a Model Agroforestry with Bamboo plantations in the surroundings of Pachaimalai Hills (Eastern Ghats), Tamilnadu, India, for selecting the best-performing Bamboo tree plantation. A System of Singularly Perturbed Differential Equations (SSPDEs) and linear programming problems are employed for determining the expert weights which will provide adequate information on the attribute information provided by the decision makers. It is concluded that application of Intuitionistic fuzzy logic methodology for real-world decision-making problems especially in deciding the close association between plant species is found to be effective.