A Novel Interval Three-Way Concept Lattice Model with Its Application in Medical Diagnosis

Junhua Hu, Dan Chen and Pei Liang
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Junhua Hu: School of Business, Central South University, Changsha 410083, China
Dan Chen: School of Business, Central South University, Changsha 410083, China
Pei Liang: School of Business, Central South University, Changsha 410083, China

Mathematics, 2019, vol. 7, issue 1, 1-14

Abstract: Medical diagnosis has been recognized as one of the key processes in clinical medicine, which determines diseases from some given symptoms. Nonetheless, previous works about medical diagnosis have some drawbacks because medical data are usually fuzzy, uncertain, incomplete and imprecise. To achieve the optimal medical diagnosis decision by reducing cost and enhancing accuracy, this paper develops a new method named interval three-way concept lattice model. Firstly, we redefine the decision rules and metric function of three-way decision based on interval concept lattice. Secondly, we build a visualized hierarchical structure of relationship between concepts through interval concept construction algorithm which helps us to make decision preferably and clearly. Finally, we establish a dynamic strategy optimization model for medical diagnosis decision making. In addition, a medical case demonstrates the effectiveness and feasibility of this proposed model.

Keywords: medical diagnosis; formal concept analysis; three-way decision; interval fuzzy concept lattice (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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