Domination and Information Boundedness Principle for Aggregation

The information boundedness principle for rule based inference process requires that the knowledge obtained as a result of a rule should not have more information than that contained in the consequent of this rule. We formulate the information boundedness principle for aggregation and show that it can be expressed using the notion of dominance. We also investigate conditions under which this principle holds and give some open problems.

• Type: Conference
• Year: 2007
• Where: EUSFLAT
• Authors: Michal Sabo
• Keywords: Consequent, EUSFLAT 2007, Information Boundedness Principle, Rule Based Inference