Mosquitoes pose a significant threat to public health as vectors of various diseases. Understanding and ranking the living environments that support mosquito populations are crucial for effective mosquito control strategies. This abstract presents a novel approach using intuitionistic fuzzy sets to rank mosquito living environments based on multiple factors affecting their suitability for mosquito proliferation. The proposed methodology utilizes intuitionistic fuzzy sets to handle the uncertainties and vagueness inherent in mosquito habitat characteristics. Various environmental factors such as temperature, humidity, vegetation density, proximity to water sources, and human activities are considered input parameters for the ranking system. Each factor is assessed using linguistic variables and membership functions, capturing the degrees of truth and falsity associated with the suitability of a specific environment. By incorporating the concept of hesitancy, the ranking system allows for a more comprehensive representation of the uncertainty in mosquito habitat evaluation. The intuitionistic fuzzy sets provide a means to express not only the degree of membership but also the non-membership and hesitancy degrees associated with each environmental factor. To validate the proposed ranking system, field surveys, and expert evaluations are conducted in different geographical regions with varying mosquito species and prevalent diseases. Data collected from these surveys are used to establish membership and non-membership functions for each environmental factor. The intuitionistic fuzzy ranking approach is then applied to determine the suitability rankings of the mosquito living environments. The proposed approach offers a valuable tool for decision-makers and public health agencies involved in mosquito control programs. By utilizing intuitionistic fuzzy sets, the ranking system provides a more robust and flexible framework for assessing mosquito living environments. It enables a better understanding of the uncertainties involved in mosquito habitat evaluation and assists in prioritizing resources for effective mosquito control and disease prevention strategies. © 2024 Elsevier B.V., All rights reserved.