Experiment-based affect heuristic using fuzzy rules and Taguchi statistical method for tuning complex systems
作者：
Highlights：
• Affect heuristics enable quick and efficient decision-making in uncertain environments.
• Taguchi statistical search method is introduced within the context of affect heuristics.
• Graduality of truth is exploited by the use of fuzzy logic in the proposed affect heuristics.
• The combination of fuzzy logic and Taguchi method is mathematically formulated.
• Application to Targeted Drug Delivery shows improved normoxic and hypoxic cell densities.
摘要
•Affect heuristics enable quick and efficient decision-making in uncertain environments.•Taguchi statistical search method is introduced within the context of affect heuristics.•Graduality of truth is exploited by the use of fuzzy logic in the proposed affect heuristics.•The combination of fuzzy logic and Taguchi method is mathematically formulated.•Application to Targeted Drug Delivery shows improved normoxic and hypoxic cell densities.
论文关键词：Affect heuristics,Taguchi method,Parameter learning,Cognitive models,Targeted drug delivery
论文评审过程：Received 28 May 2020, Revised 18 January 2021, Accepted 18 January 2021, Available online 26 January 2021, Version of Record 8 February 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114638
