基于z数的挣值管理新方法

IF 1.3 Q2 MATHEMATICS, APPLIED Fuzzy Information and Engineering Pub Date : 2022-10-02 DOI:10.1080/16168658.2022.2156250
D. Kuchta, Adam Zabor
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引用次数: 1

摘要

目的:我们提出了挣值方法的扩展,该方法考虑了项目执行过程中发生的项目成本增加的无形和未记录因素以及成本估计的可信度/可靠性。方法:在挣值法中使用的成本估计的可信度或可靠性通过z -模糊数建模。他们对专家可获得的信息范围和专家的可信度、他们的个人特征和所使用的信息来源的性质进行建模。发现:挣值法的建议版本可以提供关于项目中未来成本超支的更早和更可靠的警告。价值:提出的方法可以降低日常项目管理实践中成本超支风险的概率和影响。这是一个重要的贡献,因为在许多项目中出现了相当大的成本超支。
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A New Approach to Z-number Based Earned Value Management
Purpose: We propose an extension of the Earned Value method that takes into account both intangible and undocumented factors of project cost increase that occur during project execution and the credibility/reliability of cost estimations. Methodology: Credibility or reliability of cost estimations used in the Earned Value Method is modelled by means of Z-fuzzy numbers. They model both the information scope available to the experts and the credibility of the experts, their individual features and the nature of information sources used. Findings: The proposed version of the Earned Value Method can provide substantially earlier and more reliable warnings about future cost overruns in projects. Value: The proposed method may decrease the probability and impact of cost overrun risk in the everyday practice of project management. This is an important contribution, as considerable cost overruns occur in numerous projects.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
13
审稿时长
40 weeks
期刊介绍: Fuzzy Information and Engineering—An International Journal wants to provide a unified communication platform for researchers in a wide area of topics from pure and applied mathematics, computer science, engineering, and other related fields. While also accepting fundamental work, the journal focuses on applications. Research papers, short communications, and reviews are welcome. Technical topics within the scope include: (1) Fuzzy Information a. Fuzzy information theory and information systems b. Fuzzy clustering and classification c. Fuzzy information processing d. Hardware and software co-design e. Fuzzy computer f. Fuzzy database and data mining g. Fuzzy image processing and pattern recognition h. Fuzzy information granulation i. Knowledge acquisition and representation in fuzzy information (2) Fuzzy Sets and Systems a. Fuzzy sets b. Fuzzy analysis c. Fuzzy topology and fuzzy mapping d. Fuzzy equation e. Fuzzy programming and optimal f. Fuzzy probability and statistic g. Fuzzy logic and algebra h. General systems i. Fuzzy socioeconomic system j. Fuzzy decision support system k. Fuzzy expert system (3) Soft Computing a. Soft computing theory and foundation b. Nerve cell algorithms c. Genetic algorithms d. Fuzzy approximation algorithms e. Computing with words and Quantum computation (4) Fuzzy Engineering a. Fuzzy control b. Fuzzy system engineering c. Fuzzy knowledge engineering d. Fuzzy management engineering e. Fuzzy design f. Fuzzy industrial engineering g. Fuzzy system modeling (5) Fuzzy Operations Research [...] (6) Artificial Intelligence [...] (7) Others [...]
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