FUZZY RISK PRESUMPTIVE EVALUATION IN SOFTWARE DEVELOPMENT

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/24011

Title:	FUZZY RISK PRESUMPTIVE EVALUATION IN SOFTWARE DEVELOPMENT
Authors:	Lee, HM (Lee, Huey-Ming) Lin, L (Lin, Lily)
Contributors:	Dept Informat Management
Keywords:	Risk assessment Presumptive rate AGGREGATIVE RISK SET-THEORY ALGORITHM
Date:	2011-07
Issue Date:	2013-01-16 14:45:30 (UTC+8)
Abstract:	In this paper, we propose the computational rule inferences to tackle the presumptive rate of aggregative risk in software development in fuzzy circumstances. The proposed method of presumptive rate of aggregative risk directly uses the fuzzy numbers rather than the linguistic values to presume. The presumptive rate is close to the human thinking.
Relation:	INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL Volume: 7 Issue: 7A Pages: 3881-3889
Appears in Collections:	[Department of Information Management & Graduate Institute of Information Management] periodical articles

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