Knowledge representation in expert systems in a linguistic form
Joris E. De Meyer · 1994
A good expert system needs to be as close as possible to the knowledge and data manipulation of the expert himself. Often experts use linguistic instead of numerical values. When input data are mostly qualitative and are based on subjective knowledge of experts, the Fuzzy Set Theory is a solid mathematical model to represent and handle these data. APL arrays, scalars, vectors, matrices, operands etc. provide powerful means for implementing fuzzy sets. In this paper we will show the capabilities of APL to represent knowledge in a linguistic form.