Optimum fuzzy based approach to improve the instrument’s performance affected by environmental conditions

Abstract

The performance of instrument has been analyzed, considering the ideal conditions and results which have been obtained when the instrument is subjected to diversified combination of environmental conditions. A peerless analysis has been carried out of these environmental conditions using ‘fuzzy set theory’ as a mathematical tool. The results showed how the use of fuzzy set theory is adequate to analyze environmental conditions and is able to suggest the optimal operating conditions for performance of the instrument. In this analysis two independent variables temperature and relative humidity have been used, and based on these two independent variables a third dependent variable was defined namely temperature humidity index (THI). Based on THI, a set of fuzzy rules were established considering the influence of both independent variables. The results obtained without fuzzy experimentation according to the specification of instrument and results obtained with fuzzy analysis shown were quite comparable. The results obtained after fuzzification explicitly show that the operating instrument’s accuracy can be predicted by comparing with the THI zone and at the same time this research gives an insight for selection of nearest optimal operating condition for normal working of the instrument. It can be summarized that the abrupt variation in independent variables can make the instrument unstable and the fuzzy based approach is helpful in improving the overall instrument performance.