Implementation Of Fuzzy Multi-Criteria Decision Making To Design An Expert System For Prediction Of Digestive Diseases At Dogs

Irene  Tisna Kusuma; Adhi Kusnadi; Fenina Adline Twince Tobing

doi:10.56134/jst.v2i2.50

Authors

Irene Tisna Kusuma Universitas Multimedia Nusantara
Adhi Kusnadi Universitas Multimedia Nusantara
Fenina Adline Twince Tobing Universitas Multimedia Nusantara

Keywords:

digestion, ultimate selection, MCDM, Fuzzy, Dog (Canis Lupus Familiaris)
doi

https://doi.org/10.56134/jst.v2i2.50

Abstract

A dog is a kind of animal that is often looked after at home. Except for being known as a human's friend, a dog is also able to be trained to do many things. The age of the dog depends on the type of race. If it's fed well, exercises, and visits the doctor regularly, a dog can live longer. Dogs are very sensitive to certain diseases; one of them is intestinal disease. An expert system of a dog's digestion is built for the dog's lover so that they know exactly what's disease, which relies on the appearance of the symptoms. The symptoms of the different intestinal diseases look almost similar. For this reason, we need an appropriate method to get a precise result. Fuzzy multiple-criteria decision-making can help make the right decision that has some consideration points. This method is also equipped with optimal ultimate selections, which leads to a very precise result. The goal of this application is to know the right kind of disease and its therapy. This study has been validated by matching the results of the application with the doctor's diagnosis. The compatibility level is 80%.

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