title: Collaborative case-based reasoning for knowledge discovery of elders health assessment system.
abstract: The existing Elders Health Assessment (EHA) system based on single-case-library reasoning has low intelligence level, poor coordination, and limited capabilities of assessment decision support. To effectively support knowledge reuse of EHA system, this paper proposes collaborative case reasoning and applies it to the whole knowledge reuse process of EHA system. It proposes a multi-case library reasoning application framework of EHA knowledge reuse system, and studies key techniques such as case representation, case retrieval algorithm, case optimization and correction, and reuse etc.. In the aspect of case representation, XML-based multi-case representation for case organization and storage is applied to facilitate case retrieval and management. In the aspect of retrieval method, Knowledge-Guided Approach with Nearest-Neighbor is proposed. Given the complexity of EHA, Gray Relational Analysis with weighted Euclidean Distance is used to measure the similarity so as to improve case retrieval accuracy.
authors.affiliation: Department of Management of Hefei University, HeFei, Anhui 230601, P.R.China.
authors.forename: Ping
authors.initials: P
authors.lastname: Hu
authors.affiliation: School of Management at Hefei University of Technology, Hefei, Anhui 230009, P.R.China.
authors.forename: Dong-Xiao
authors.initials: DX
authors.lastname: Gu
authors.affiliation: School of Management Engineering at Anhui University of Technology, Wuhu, Anhui 241000, P.R.China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Zhu
keywords: Elders health assessment system; knowledge discovery; knowledge mining; multi-case-based reasoning.