摘要：The development of soft-computing approaches in law enforcement agencies has a wide range of application to intelligence analysis in the face of interrogation and evidence gathering during investigation. The capability of these tools to alleviate attempted deception by an informant or suspect is affected by many issues including the type of critical method, the type of hybridization used, and the ability to address issues of source reliability and information credibility. This work at the end will presents a hybrid model using neuro-fuzzy system to aid in the detection of deception during interrogation
