Expert systems and fuzzy systems
Expert systems and fuzzy systems
The management of information systems
The management of information systems
APL, the language and its actuarial applications
APL, the language and its actuarial applications
Knowledge, decision making, and uncertainty
Artificial intelligence and statistics
Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Expert systems: knowledge, uncertainty, and decision
Expert systems: knowledge, uncertainty, and decision
Fuzzy logic in commercial expert system-results and prospects
Fuzzy Sets and Systems - Special memorial volume on fuzzy logic and uncertainly modelling
APL: An Interactive Approach
Fuzzy control of technological processes in APL2
APL '95 Proceedings of the international conference on Applied programming languages
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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.