Interpretability Issues in Evolutionary Multi-Objective Fuzzy Knowledge Base Systems
作者： Praveen Kumar Shukla , Surya Prakash Tripathi
DOI: 10.1007/978-81-322-1038-2_40
关键词:
摘要: Interpretability and accuracy are two conflicting features of any Fuzzy Knowledge Based System during its design implementation, this nature leads to Interpretability-Accuracy Trade-Off. Secondly, the assessment interpretability is another important problem for researchers. Several indexes methods have been proposed assessing but issue remains an open because subjective nature. This paper discusses research issues, interpretability-accuracy trade-off in Base using Evolutionary Multiobjective Optimization by proposing taxonomy studying evaluating interpretability.
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