Fuzzy Logic Techniques For Environmental Impact Assessment: A Way Forward Towards A World Where Health Is Valued

Abstract

The road to development is the advancement of technology and innovation. Fuzzy Logic plays a very crucial role in the advancement of intelligent systems as it focuses on and appreciates that reality is not precise but rather not certain. It represents a logical and accurate system, unlike its usual misunderstanding that it is fuzzy; unlike binary which dwells with either and or. Fuzzy logic deals with uncertainty. It presents a qualitative computation method with a way to arrive at a concrete conclusion based on ambiguous inputs. Fuzzy logic presents propositions with levels of false and truth. The use of Fuzzy Logic techniques for Environmental Impact Assessment has been increasing with time. Policies and regulations are highly focused on the implementation of measures to mitigate the adverse impact of development projects on the human health, well-being, economics socio-cultural areas. The main motive of impact assessment is to identify the gravity of the impact on humans and the environment, predicting the prospects of solutions to mitigate the challenges about the developmental or economic activity in question along with the overall impact on the environment. Screening, scoping, public consultation, and finally the appraisal or assessment are the steps involved primarily in the impact assessment process. This phenomenon is only possible once the overall impact of a project/developmental activity on social, health, economic, or overall environmental factors, etc is properly assessed. The paper highlights the use of fuzzy logic as a tool for decision-making and undertaking the environmental impact evaluation for a healthy and sustainable tomorrow.