POSSIBILITY INTERVAL-VALUED INTUITIONISTIC FUZZY SOFT SETS - TO PROTECT THE CRITICALLY ENDANGERED SPECIES FROM THE MUDUMALAI FOREST, NILGIRI'S, SOUTH INDIA

Abstract Preserving endangered species is crucial for maintaining ecological balance. This article presents a model designed to help ecologists identify species at high risk of extinction in the Mudumalai Forest of South India. Although population size is a key indicator, a comprehensive evaluation of various factors is necessary. The model utilizes Possibility Interval-Valued Intuitionistic Fuzzy Soft Sets (PIVIFSS) to address this complex decision-making process. A case study focusing on endangered species in Mudumalai validates the model, incorporating criteria from literature reviews and expert consultations. Six criteria and six alternatives are assessed using PIVIFSS through both top-down and bottom-up approaches. MATLAB programming showcases the model's effectiveness. The comparative analysis demonstrates that this methodology excels in complex decision-making, serving as a valuable tool for conservationists.