AbstractThe use of fuzzy decision tables as a programming language for representing both the knowledge and the procedures in expert systems is discussed. Examples of their use for the generation of procedural code and for the generation of if-then rules are given
Decision trees are one of the most popular choices for learning and reasoning from feature-based exa...
While several books are available today that address the mathematical and philosophical foundations ...
Expert systems have been successfully applied to a wide variety of application domains. To achieve b...
AbstractThe use of fuzzy decision tables as a programming language for representing both the knowled...
Problems of implementing rule-based expert systems using fuzzy sets are considered. A fuzzy logic so...
In this paper we want to stress the relevance of decision aid procedures in complex decision making ...
In this Chapter, the steps necessary to develop a fuzzy expert system (FES) from the initial model d...
When no expert knowledge is available, fuzzy if-then rules may be extracted from examples of perform...
In this paper, we investigate a methodological issue associated with the use of decision tables (DTs...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The pap...
An interactive computer program has been developed to automate the construction of knowledge bases i...
This dissertation reports on an effort to design, construct, test, and adjust an expert system for m...
Purpose Expert systems are computer-based systems that mimic the logical processes of human experts ...
In this paper the representation of decision tables in a relational database environment is discusse...
Decision trees are one of the most popular choices for learning and reasoning from feature-based exa...
While several books are available today that address the mathematical and philosophical foundations ...
Expert systems have been successfully applied to a wide variety of application domains. To achieve b...
AbstractThe use of fuzzy decision tables as a programming language for representing both the knowled...
Problems of implementing rule-based expert systems using fuzzy sets are considered. A fuzzy logic so...
In this paper we want to stress the relevance of decision aid procedures in complex decision making ...
In this Chapter, the steps necessary to develop a fuzzy expert system (FES) from the initial model d...
When no expert knowledge is available, fuzzy if-then rules may be extracted from examples of perform...
In this paper, we investigate a methodological issue associated with the use of decision tables (DTs...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The pap...
An interactive computer program has been developed to automate the construction of knowledge bases i...
This dissertation reports on an effort to design, construct, test, and adjust an expert system for m...
Purpose Expert systems are computer-based systems that mimic the logical processes of human experts ...
In this paper the representation of decision tables in a relational database environment is discusse...
Decision trees are one of the most popular choices for learning and reasoning from feature-based exa...
While several books are available today that address the mathematical and philosophical foundations ...
Expert systems have been successfully applied to a wide variety of application domains. To achieve b...
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