Fuzzy Based System for Classification of Psychological Disorder

Author(s)	Mrs. Nirmala Sandeep Shinge, Mr. Bharat Jadhav
Country	India
Abstract	The classification of psychological disorders is vital role for accurate diagnosis, effective treatment. The proposed system utilizes linguistic variables and membership functions to evaluate patient-reported symptoms. By using fuzzy rule-based inference, the system processes imprecise and subjective input data, generating clear and interpretable classifications for disorders like Alcohol Dependency Disorder, Schizophrenia, Bipolar Disorder, Obsession_Compulsive Disorder, Anxiety and Depression. The Fuzzy based system is designed to follow the decision-making processes of mental health professionals by including expert knowledge and established diagnostic criteria. The system is implemented as a user-friendly, web-based application to enhance accessibility for clinicians and researchers. The proposed system achieved an overall classification accuracy of 91.25%.This research paper highlights the potential of fuzzy logic as a robust computational tool for improving psychological disorder classification.
Keywords	Psychological Disorders, Fuzzy System, Mental Health , Rule-Based Fuzzy System, Symptoms
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-02-10

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research