A Soft Computing Technique For Diagnose Psychological Disorder at Different Stages
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 4
Abstract
The Mental Illness Diagnostic Expert System Is Designed To Help Or Assist The Psychology Doctors To Diagnosing The Various Mental Disorders Related To Human. This Expert System Can Be Used To Perform Some Evaluation Of Patient’s Physical And Emotional Symptoms To Diagnose The Particular Disorder. This Expert System Handles The Various Types Of Pathologies That More Often Appear As Anxiety Disorder, Mood Disorder, Psychotic Disorder, Impulse Control Disorder, Eating Disorder And Personality Disorder Causing A Micro Level Damage To Individual. This Expert System Uses Three AI Techniques: Fuzzy Generator, Fuzzy Logic And Rule Based Reasoning. We Are Going To Describe A New Method For Creating A Weighted Fuzzy Rule To Deal With The Mental Illness. The Fuzzy Rule Is A Causal Rule. Its IF Part Truly Cause The THEN. The Knowledge Of Human Expert System In The Area Of Mental Ill And Disorder Is Transformed And Often Encoded Into The Knowledgebase Using A Fuzzy Logic And Then Provide The Severity Of Any Particular Disorder. The Main Objective Of This Paper Is To Develop An Expert System Which Deals With The Various Disorders Related To Psychology.
Authors and Affiliations
Sandeep Kaur, Prabhsharan Kaur
Keywords
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