Fuzzy Logic Based Risk Analysis Using Risk Matrix

Fuzzy Logic Based Risk Analysis Using Risk Matrix

Lakshmi Narayan Pandey, Manoj Singh, Mohan Rao Mamdikar

Lakshmi Narayan Pandey, Manoj Singh, Mohan Rao Mamdikar "Fuzzy Logic Based Risk Analysis Using Risk Matrix" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-5 | Issue-4 , August 2018, URL: http://www.ijtrd.com/papers/IJTRD16721.pdf

Since the World War I, industrial risk anatomize has been applied with success to many power, nuclear, petroleum, and chemical sites. Along our daily life, we are all reveal to situation when we automatically counter act of risk diminish or risk control. Risk analysis is a process of identifying and quantifying of risk resulting from a specific event or scenario. Risk anatomize is concerned with determining those factors which are especially dangerous and determining the likelihood of unacceptable risk. The issue under this study is the application of Fuzzy Logic to develop a Fuzzy Model to enhance the risk analysis process which is dealing with uncertainties that arise in each phase of the risk analysis process. Risk management applications are complex, multi-criteria and concern with uncertainties.The assessment of the social risk is a major issue for the responsible risk management and the sustainable regional developmentDepartment of Horticulture and Agriculture Chhattisgarh. The paper presents a fuzzy logic model for social risk estimation from natural hazards in the Raigarh Chhattisgarh region, based on the available information sources and the expert knowledge. The risk analysis problem is defined as a multi criteria task that evaluates several input variables (indicators for natural hazards and social assailable). A hierarchical fuzzy logic system with five inputs and one output is designed in the Mat lab software environment using Fuzzy Logic Toolbox and Simulink. The simulation investigations are done for six villages in Raigarh Chhattisgarh. This fuzzy system is part of the Web Integrated Information System for risk management of natural disasters which will be developed.

Fuzzy Logic, Risk Assessment, Risk Management, Fuzzy Inference System (FIS), MATLAB

Volume-5 | Issue-4 , August 2018


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