Fuzzy Logic-Based Monitoring of Earth Observations

1. Introduction

Fuzzy good judgment-based total tracking of Earth observations is an innovative idea that has transformed the sector of environmental tracking and management. With the appearance of superior technology and the increasing availability of satellite TV for PC imagery and other Earth remark information, the want for robust analysis and interpretation of this vast quantity of information has ended up paramount. Fuzzy logic, with its potential to deal with uncertainty and imprecision in records, offers a promising solution to tackle complex environmental problems and make specific sustainable development (Qayyum et al., 2022). Earth remark records provide essential data on various environmental parameters, inclusive of land cowl, climate styles, pollution levels, and environmental health. However, these records are often characterized by uncertainty and vagueness because of elements like sensor noise, atmospheric conditions, and the inherent complexity of the Earth's structures (Kaur & Vig, 2023). Traditional monitoring techniques, based on crisp logic and binary classifications, work to deal with such uncertainties and provide correct assessments successfully.In this context, fuzzy common sense has emerged as a powerful tool that can manage and manage obscure and uncertain facts. Fuzzy common sense is a mathematical framework that permits the representation of imprecision and uncertainty by assigning levels of membership to distinctive training or categories (Tayfur, 2023). In contrast to conventional binary classifications, fuzzy logic considers the slow transition from one class to another, taking pictures of the subtle variations and nuances in the data..