System Analysis and Design in a Changing World
System Analysis and Design in a Changing World
Loss and gain functions for CBR retrieval
Information Sciences: an International Journal
A CBR System for Knowing the Relationship between Flexibility and Operations Strategy
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Introducing attribute risk for retrieval in case-based reasoning
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Comparison of multilabel classification models to forecast project dispute resolutions
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
The nature of the construction business makes the industry one of the most litigious. Most recent studies of dispute settlement assistant system have applied case-based reasoning (CBR) models to identify similar dispute cases that may be used as references in dispute settlements. Typically, either Euclidean distance (EUD) or cosine angle distance (CAD) has been employed in CBR to measure similarity. However, both EUD and CAD present inherent problems. This situation offers the opportunity to further refine and improve the CBR approach. The CBR was combined with fuzzy-set theory to establish the ''fuzzy case-based reasoning model'' (FCBR) for coping with construction disputes. FCBR incorporates a new similarity measurement (NSM) that fuses EUD and CAD, creating a more effective tool with which to calculate target case similarity with historical construction dispute cases. Information on cases similar to a target case assists mediators to deal effectively with construction disputes. The FCBR simulates the process of human reasoning, allowing users to not only easily review historical data, but also efficiently mine information on similar cases.