System with probabilistic fuzzy knowledge base and parametric inference operators in risk assessment of innovative projects
作者：
Highlights：
• A probabilistic fuzzy system for innovative project risk assessment is proposed.
• A system as the extension of Mamdani probabilistic fuzzy system is described.
• A new method of system identification using parametric family of t-norms is proposed.
• The algorithm uses assumptions of fuzzy association rules.
• The approach uses analysis of probability of fuzzy events with technical risk factors.
摘要
•A probabilistic fuzzy system for innovative project risk assessment is proposed.•A system as the extension of Mamdani probabilistic fuzzy system is described.•A new method of system identification using parametric family of t-norms is proposed.•The algorithm uses assumptions of fuzzy association rules.•The approach uses analysis of probability of fuzzy events with technical risk factors.
论文关键词：Inference system,Probabilistic fuzzy system,Fuzzy event probability,Risk assessment,Innovative project
论文评审过程：Available online 23 April 2015, Version of Record 15 May 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.04.025
