基于可调多粒度q-RO模糊概率粗糙集的企业财务质量匹配

Corporate Financial Quality Matching Based on Adjustable Multigranulation q-RO Fuzzy Probabilistic Rough Sets

在现代企业运行中,财务质量可有效反映企业赢利能力的强弱并对潜在的财务危机进行预警,而合理的财务质量匹配有助于企业管理者选择契合企业发展的合作伙伴,以此来助推企业的健康发展。本文利用q-RO(q-rung orthopair)模糊集表示企业财务质量匹配中的决策数据,结合信息融合过程中的决策风险提出一种可调多粒度q-RO模糊概率粗糙集模型并建立相应的企业财务质量匹配方法,最后结合实际算例验证所提出方法的合理性与有效性。

In the operation of modern enterprises,financial quality is able to effectively reflect the corporate profitability and offer an early warning for potential financial crisis.Moreover,for business administrators,a valid corporate financial quality matching is conducive to selecting suitable collaborators that will support the development of enterprises,and promotes the sound development of enterprises.In this paper,the notion of q-RO(q-rung orthopair)fuzzy sets is utilized to express uncertain data in corporate financial quality matching,and adjustable multigranulation q-RO fuzzy probabilistic rough sets are put forward in light of decision risks.Then,a method for corporate financial quality matching is constructed by virtue of the proposed theoretical models.Finally,a realistic case study is explored to show the applicability and validity of the proposed method.