This paper proposes the study of the application of fuzzy logic on the relevant parameter of biomass pyrolysis. The frequency factor, the upper limit of 'dE', and the scale and shape parameters of the fuzzy Gamma distribution were fuzzified in order to estimate randomness and to accommodate realistic values. The distribution function, f (E), of the activation energies was assumed to follow the fuzzy Gamma distribution. Thermo-analytical data was found experimentally with the help of TGA/ DTG analysis. The approximated solution of the DAEM was obtained using the asymptotic approach. Research article In various engineering systems, there is some level of imprecision regarding the assignment of values to some dependent parameters. While dealing with a mathematical model, we have to pay special attention to imprecision in data. The principle of incompatibility defines when the complexity of a system increases. Our aptitude to formulate precision and meaningful statements decreases up to