A Fuzzy Model for the Quantification of Cost of Quality based on the Aggregation of Information

Q3 Economics, Econometrics and Finance
J. M. Brotons, M. E. Sansalvador
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引用次数: 1

Abstract

In this work a methodology will be developed, which it will substantially improve the quantification process of certain elements of Cost of Quality which companies cannot estimate through objective criteria. The methodological proposal for the quantification of these costs is based on the foundations of fuzzy logic. In particular an aggregation technique based on ordered weighted averaging is used establishing a new and original weighting factor: the level of Quality Management. This work presents an innovative development of the different tools that fuzzy logic provides for their use in the management and measurement of quality.
基于信息聚合的质量成本模糊量化模型
在这项工作中,将开发一种方法,它将大大改进质量成本某些要素的量化过程,这些要素是公司无法通过客观标准估计的。量化这些成本的方法建议是建立在模糊逻辑的基础上的。特别使用了基于有序加权平均的聚合技术,建立了一个新的原始加权因子:质量管理水平。这项工作提出了不同工具的创新发展,模糊逻辑提供了它们在质量管理和测量中的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Fuzzy Economic Review
Fuzzy Economic Review Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
0.40
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0.00%
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