Diagnosis of Hiv-Aids by Adopting Multi-Layer Mamdani Fuzzy Soft Expert System

Abstract

A Multi-layered Mamdani Fuzzy Soft Expert System is planned to diagnose HIVAIDS.
 The Proposed DHA-MLMFES System is an Automatic diagnose of HIV-AIDS exploitationMulti-layer Mamdani Fuzzy Soft Expert System (DHA-ML-MFES) knowledgeable System, willclassify the various stages of HIV-AIDS like No-HIV-AIDS, HIV Stage 1, 2, 3 and Aids. The ExpertSystem has seven input variables at layer-I and four input variables at layer-II. At layer-I input,variables are headache, fatigue, aching muscles, sore throat, swollen lymph nodes, red rashes, feverthat detects output condition of HIV-AIDS, infection, and different downside. The additional inputvariables at layer-II are PCR+, PCR+ P24+, P24+ Ab+ (ELISA), Ab+ Wb-inderminate that verify theoutput condition of HIV-AIDS like No-HIV-AIDS, HIV stage I, II, III or AIDS and alternativeinfection and downside. Results display investigation of the accuracy of the outcomes up to 94 percentof exploitation planned DHA- Multi-layer Mamdani Fuzzy Soft Expert Structure to set up theadvanced HIV-AIDS technique with help of physician assumptions and compile it to the medical Labof Roscommon University Hospital, Ireland.