Case Fuzzy Retrieval of Reinforced Concrete Structures Accidents Based on CBR

Abstract

In order to help engineers to better learn from accidents of reinforced concrete structures, accident identification and processing method, this article introduced the ideas of CBR to the accident case retrieval methods of reinforced concrete structures. At the same time, the fuzzy retrieval and knowledge index model of reinforced concrete structure accidents are presented. According to the approximate extent of construction conditions, the approximation of construction are determined, and similar cases with the current engineering cases then retrieved through the case of reinforced concrete structures, which the designer or construction workers can learn from.

Framework for Risk Identification of Renewable Energy Projects Using Fuzzy Case-Based Reasoning

“…Next, Zima [24] determined the fuzzy similarity between the different projects, and the project with the largest defuzzified similarity value was retrieved. Zuo et al [25] used fuzzy set theory in the retrieval phase of the CBR model they developed to retrieve the accidents in reinforced concrete structures, based on the similarities between different structures. Zuo et al [25] assigned weights to the key characteristics of the cases using linguistic terms (i.e., very important, important, general, not important, and not to be considered).…”

“…Zuo et al [25] used fuzzy set theory in the retrieval phase of the CBR model they developed to retrieve the accidents in reinforced concrete structures, based on the similarities between different structures. Zuo et al [25] assigned weights to the key characteristics of the cases using linguistic terms (i.e., very important, important, general, not important, and not to be considered). These fuzzy weights were then used to calculate the similarity between different types of structures.…”