Applying decision tree methodology for rules extraction under cognitive constraints

European Journal of Operational Research

Volumn 136, Issue 2, 2002, Pages 282-289

  Müller, Wolfgang ^a,b   Wiederhold, Eckhard ^a  

^a FRAUNHOFER IOSB   (Germany)

^b NONE   (Germany)

Author keywords

Cognitive modeling; Decision support; Decision trees; Knowledge acquisition; Machine learning; Production rules; System dynamic

Indexed keywords

ALGORITHMS; DECISION MAKING; DECISION SUPPORT SYSTEMS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; PRINTED CIRCUIT BOARDS; REAL TIME SYSTEMS; TREES (MATHEMATICS);

CHECK TREE TECHNIQUES;

COGNITIVE SYSTEMS;

EID: 0037116461     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(01)00115-1     Document Type: Article

References (16)

1. Choice basis: A model for multiattribute preference
2. A model of selection by aspects
3. The Cn2 induction algorithm
4. Learning rules with nested exceptions
5. Automatic construction of decision trees for classification
6. The decision tree algorithm CAL5 based on a statistical approach to its splitting algorithm
7. Generating production rules from decision trees
8. Introduction to IND and recursive partitioning
9. Rule extraction from local cluster neuro nets
10. The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks
11. Updating a rules base under cognitive constraints: The COMAPS tool
12. Man machine interface for a decision checking tool