Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Risk assessment for security management is a complex process which linked to substantial ambiguous. Hover, existing techniques of risk analysis determine the solution by the probability distribution junction of threats and its impact loss. In fact, it is difficult for users to collect precise and adequate events to estimate the probability of threats and impact losses. Consequently, a fuzzy risk analysis model is developed to prioritize the risk ranking of assets. The proposed model uses pseudo-order preference model (POPM) to represent the imprecise preference degree of decision maker and determine the ranking of alternative using fuzzy majority concept. It extends the traditional risk analysis using fuzzy multiple-person decision making (MPDM) theory and POPM to risk analysis in fuzzy environment. Finally, a real case of risk assessment for the internet data center (IDC) is given to illustrate our approach.
['Ping Wang', 'Kuo-Ming Chao', 'Chun-Lung Huang', 'Chi-Chun Lo', 'Chia-Ling Hu']
I am writing a research paper on a idea A fuzzy decision model of risk assessment through fuzzy preference relations with users' confidence-interval
[{"from": "human", "value": "I am writing a research paper on a idea A fuzzy decision model of risk assessment through fuzzy preference relations with users' confidence-interval"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Risk assessment for security management is a complex process which linked to substantial ambiguous. Hover, existing techniques of risk analysis determine the solution by the probability distribution junction of threats and its impact loss. In fact, it is difficult for users to collect precise and adequate events to estimate the probability of threats and impact losses. Consequently, a fuzzy risk analysis model is developed to prioritize the risk ranking of assets. The proposed model uses pseudo-order preference model (POPM) to represent the imprecise preference degree of decision maker and determine the ranking of alternative using fuzzy majority concept. It extends the traditional risk analysis using fuzzy multiple-person decision making (MPDM) theory and POPM to risk analysis in fuzzy environment. Finally, a real case of risk assessment for the internet data center (IDC) is given to illustrate our approach."}]