This paper presents a methodology to compute cooling load in the presence of uncertainties in the weather conditions and imprecise information. Fuzzy set theory is used for the estimation of cooling load. Maximum and minimum temperature of the day, humidity and number of occupants are treated as fuzzy parameters to calculate cooling load using fuzzy arithmetic. This provides cooling load as fuzzy parameter. Then a method is proposed to defuzzify it based on the user requirement.