Fuzzy logic systems find application especially in engineering systems due to their suitability for applications dealing with the concept of Takagi-Sugeno fuzzy model. However, the fuzzy concept is particularly valid also in the areas where information is qualitative. Exact science applications deal with the information by modeling and thereafter identifying the relationships in the model by suitable computation. In contrast, the fuzzy logic employment in soft sciences is not as straightforward

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... as it is in exact sciences and special care should be taken in the former case. Analogous to exact sciences, the majority of soft information sources belongs to soft sciences where the quantities dealt with are usually not measurable in the engineering sense. Therefore, for soft sciences fuzzy logic is an important means for dealing with associated imprecise information processing. In spite of this, the employment of fuzzy logic in soft sciences is not common. In this work, aspects of fuzzy logic implementation in the areas of soft sciences is pointed out. This is exemplified by a design application i n building technology using a soft design data set from a real life environment.