INDEXING TREE AND PRUNING CONCEPTS TO SUPPORT CASE-BASED REASONING

被引：4
作者：
HANSEN, JV
MESERVY, RD
WOOD, LE
机构：
[1] Brigham Young University, UT
来源：
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 1994年 / 22卷 / 04期
关键词：
CASE-BASED REASONING; DECISION TREES; INDEXING; PRUNING; RANK; CONCEPT ACCURACY;
D O I：
10.1016/0305-0483(94)90062-0
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
Case-based reasoning is thought to aid decision making because it mimics the way in which humans analyze problems. Effective recall of case situations that are similar to a current situation is a key component of this type of decision support. This paper shows how the concept of rank can be used to create compact indexing trees for recall of similar cases. We further consider how pruning can be applied to improving compactness and methods for measuring the reliability of the result.
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页码：361 / 369
页数：9
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