• Menti Venkatesh
• Dr. M.L. Narasimham

Risk is a combination of factors that determine people's vulnerability and exposure prospects to a hazard. The estimation of flood extents and the identification of vulnerable factors aid in determining high-risk flood zones in advance, allowing for effective and efficient mitigation actions. This study investigates how effectively flood risk can be assessed using a fuzzy approach, taking into account the study location's frequent flooding. Twelve factors were selected for the case study in India's East Godavari District to construct the flood risk assessment model using a fuzzy logic approach and Arc GIS. This study found that extremely high, very high, high, medium, and low risk zones are distributed throughout the study area. Meanwhile, the percentage area under various levels of flood risk in the East Godavari district is calculated and displayed in a bar chart, as is the magnitude of flood risk calculated by estimating flood hazard, flood vulnerability, and flood risk at various locations throughout the study area.

Disaster Management, Fuzzy logic, Hazard, Vulnerability, Risk, Arc GIS.

" MCDM MODELING FOR FLOOD RISK ZONING USING FUZZY LOGIC ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.h608-h618, October-2023, Available :http://www.jetir.org/papers/JETIR2310677.pdf

" MCDM MODELING FOR FLOOD RISK ZONING USING FUZZY LOGIC ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. pph608-h618, October-2023, Available at : http://www.jetir.org/papers/JETIR2310677.pdf