An appraisement of human happiness level based on air quality through fuzzy logic inference system
Abstract:
This paper proposes an appraisement of Human Happiness Level (HHL) based on Air Quality (AQ) through the use of Fuzzy Logic Inference System (FIS) system. Such a FIS has recently been realized as a potential alternative to that of conventional AQ assessment based on standard scales, which encounter practical difficulties on complicated measures of various hazardous attributes and levels of chemical compounds in air. Despite the fact that several fuzzy-based AQ models have been reported, no fully-developed AQ model that considers from physical attributes to human actualization, especially happiness, has been reported. In this paper, five parameters affecting on human health, involving PM2.5, CO, temperature, humidity, and air pressure, have been considered as inputs for the proposed fuzzy-based AQ model. The linguistic variables for those five parameters were initially determined based on US EPA 2016 and NOAA national weather service, and the input membership functions were correspondingly created. The experimental results were performed using MATLAB Toolbox 2016a. The particular set of 109 rules was employed for decision processes, and the defuzzification provides output values for the designated output membership functions, providing six human happiness levels, involving happy, comfort, unhappy, depress, sad, and feel sick. This paper offers a perspective on a correlation between AQ and HHL through a FIS, ultimately leading to healthy and happy livings.
Publisher: IEEE (Institute of Electrical and Electronics Engineers)
4 Author(s): Nattaphon Talmongkol ; Noppadon Pongpisuttinun ; Wimol San-Um ; Surapong PongyupinpanichSource: https://ieeexplore.ieee.org/document/8104835
