Title
Data-based revision of probability distributions in qualitative multi-attribute decision models
Abstract
An automatic data-based revision method of probabilistic multi-attribute decision models is proposed. Data-based revision of decision models is defined as follows: given an existing model and a set of data items, revise the model to match the data items. We propose and experimentally evaluate a method for the revision of probability distributions in qualitative hierarchical multi-attribute models of DEX methodology. The revision method is automatic, but limited to the modification of probability distributions in utility functions. The method is experimentally evaluated in an artificial domain. In all experiments, the classification accuracy of the revised model was improved and the changes of the model correctly reflected the simulated changes in the decision environment.
Year
DOI
Venue
2005
10.3233/IDA-2005-9203
Intell. Data Anal.
Keywords
Field
DocType
probability distribution,decision modeling,decision models,machine learning
Decision tree,Data mining,Pattern recognition,Computer science,Probability distribution,Decision model,Artificial intelligence,Probabilistic logic,Machine learning
Journal
Volume
Issue
ISSN
9
2
1088-467X
Citations 
PageRank 
References 
1
0.41
8
Authors
2
Name
Order
Citations
PageRank
Martin Znidarsic113311.51
Marko Bohanec233448.69