Predicting the Happiness Index of the Teachers Fraternity Using a Fuzzy Model

Our perception of what makes us happy has changed over time and psychologists have put forth various theories to explain how people pursue and experience happiness. The hierarchy of needs theory suggests that people are driven to seek out ever-more complex needs. The paper proposes a fuzzy modeling-based integrated happiness measurement metric for teaching fraternity in higher education institutes. The methodology involves collecting data from teachers and designing a membership function to propose a rule base for a fuzzy system with the help of experts. The metric is expected to help in taking corrective or encouraging steps to improve the study and research environment of the university. The paper also demonstrates the process of MFs generation of happiness factors using the statistical data distribution collected from the survey. The rule base generation is supervised by a psychologist. The small value of mean squared error obtained by comparing the actual happiness collected in the data and the happiness metrics generated validates the fuzzy model and proves that the proposed methodology is promising and encourages us to further taking research for refining the model.