FLC-based indoor air quality assessment for ASHRAE standard conformance

Abstract

Designed and presented in this paper is Indoor Air Quality Assessment using fuzzy logic technology. Triangular membership functions for classified Air and Gaseous parametric categories are to be constructed in Matlab Fuzzy Logic Toolbox using ASHRAE, EPA and WHO standards. Air parameters include Temperature (T) and Relative Humidity (RH) while Gaseous parameters include Carbon Monoxide (CO) and Carbon Dioxide (CO2). The parameters are to be classified as Very Good (VG), Good (G), Fair (F), Poor (P) and Very Poor (VP). The Sugeno-style of inference systems is utilized in this proposed to describe the fuzziness of assessing indoor air quality. There were 131 fuzzy rules formulated. The output parameter is classified as Highly Acceptable (HA), Acceptable (A), Just Acceptable (JA), Not Acceptable (NA), and Highly Not Acceptable (HNA). The fuzzy-based system is simulated and the results were further verified using the weighted means of 90 generated data samples.