JCSE, vol. 13, no. 4, pp.151-162, December, 2019

DOI: http://dx.doi.org/10.5626/JCSE.2019.13.4.151

Algorithms for Constructing Hesitant Neutrosophic Concept Lattices and Computing their Similarity Distances in Medical Decision-Making

Kai Wang and Yue Cao
School of Health Management, Bengbu Medical College, Bengbu, Anhui, China

Abstract: In medical decision-making, pros and cons of balancing treatment options are often required. However, clinical experts may well put forward their opinions on the basis of huge uncertain or incomplete information. To encounter this issue, the notion of hesitant neutrosophic concept lattice (HNCL) has been utilized to express the decision information based on hesitant neutrosophic sets (HNS) and formal concept analysis (FCA). Here, we present another improved hybrid model to measure the similarity distance among hesitant neutrosophic concepts (HNCon). An actual example was used to demonstrate the effectiveness and reliability of the proposed method.

Keyword: Hesitant neutrosophic sets; Formal concept analysis; Similarity distances; Medical decision-making

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