الفهرس 
Chapter 1– IntroductionOnly 14 pages are availabe for public view
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Abstract
It’s interesting to know that, as stated by the Statista website, there are around 6.92 billion smartphone users worldwide. Smartphones store a massive amount of user data, which can be helpful for forensic investigators in the case of any criminal activity. However, malicious intent can also manipulate this information to provide false evidence to deceive forensic investigators.
Our research has utilized Fuzzy Logic and Neutrosophic Logic to evaluate this information’s degree of truth or falsity. Additionally, this study analyzes conversations between individuals using Fuzzy Logic and neutral Logic. The results were compiled into a dataset, and a Fuzzy model created by Matlab’s Fuzzy toolbox was utilized to evaluate the information. The dataset was also assessed using a Python algorithm written by Neutrosophic Logic, which gives accurate and reliable results.
The result helps to indicate the percentage of truth or falsehood in each conversation, which can be used to determine its admissibility as evidence and which is not. The result also proved that Neutrosophic Logic is more accurate and reliable than Fuzzy Logic in determining the percentage of truth and falsehood in the examined information