چکیده (انگلیسی):

In our daily life, deciding what caused the bad mood is not easy. This study will design an Expert Mood
Identifier System for mobile application. We propose a model that uses 6 variables as the inputs, they are
intensity of Sleep (SL), intensity of Eat (ET), hours of using Phone (PH), Spare Time (ST), intensity of
Sensitive (SN), intensity of Confidence (CF). These inputs, using Sugeno fuzzy logic, are then fuzzificated
to linguistic variables, so that they able to evaluated with the if-then rules. Result of the evaluation will
show the highest possibility causes either in Love (LV) or density schedule. It will be defuzzificated to a
crisp number showing the percentage of what causes it. The experiment results are presented and show the
Mood Identifier system is running well on BlackBerry platform and can be used successfully to identify the
causes of bad mood with a solution for each case.