A Fusion Mechanism for Management Decision and Risk Analysis

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/44630

Title:	A Fusion Mechanism for Management Decision and Risk Analysis
Authors:	Hsu, MF (Hsu, Ming-Fu)Chen
Contributors:	會計學系暨研究所
Keywords:	FINANCIAL DISTRESS FEATURE-SELECTION RULE EXTRACTION 2-LEVEL DEA ROUGH SETS PREDICTION PERFORMANCE SVM CLASSIFIERS FEATURES
Date:	2019-04
Issue Date:	2019-06-25 11:29:00 (UTC+8)
Abstract:	This study introduces a fusion mechanism by incorporating a risk metric with two-level data envelopment analysis (two-level DEA) for describing a corporate's operation status and then constructs a hybrid model that combines rough set theory with artificial fish swarm algorithm (RSAFSA) and fuzzy support vector machine (FSVM) in order to forecast corporate operating performance. The introduced mechanism, supported by real-life cases, can assist both public and private market participants who must allocate their economic resources to suitable places as well as maximize their personnel wealth under anticipated risk exposure.
Relation:	Cybernetics and Systems  An International Journal Volume 50, 2019 - Issue 6 p.497-515
Appears in Collections:	[Department of Accounting & Graduate Institute of Accounting] periodical articles

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