Logical aggregation as similarity measure in case-based reasoning

Abstract

This paper proposes logical aggregation based on interpolative Boolean algebra as a measure for similarity assessment in case-based reasoning problems. Logical aggregation is applied in the process of retrieval the most similar case or cases. Explicit inclusion of logic in the process of cased-based reasoning makes it possible to reach the appropriate decision according to objective information and subjective beliefs. The proposed approach is applied on residential real estate market.