Fuzzy Inference Systems, ASKE, Knowledge Value Added, and Monte Carlo Risk Simulation for Evaluating Intangible Human Capital Investments

被引：0

作者：

Mun, Johnathan ^{[1
]}

de Albuquerque, Nelson R. ^{[2
]}

Liong, Choong-Yeun ^{[3
]}

Salleh, Abdul Razak ^{[3
]}

机构：

[1] US Naval, Postgrad Sch, 1 Univ Circle, Monterey, CA 93943 USA

[2] Pontificia Univ Catolica Rio De Janeir, BR-451900 Rio De Janeiro, Brazil

[3] Univ Kebangsaan Malaysia, Fac Sci & Technol, Sch Math Sci, Bangi 46300, Selangor DE, Malaysia

来源：

PROCEEDINGS OF THE 20TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM20): RESEARCH IN MATHEMATICAL SCIENCES: A CATALYST FOR CREATIVITY AND INNOVATION, PTS A AND B | 2013年 / 1522卷

关键词：

Intangible asset; proxy variable; human capital; KVA; fuzzy logic; simulation;

D O I：

10.1063/1.4801263

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper presents the ASKE-Risk method, coupled with Fuzzy Inference Systems, and Monte Carlo Risk Simulation to measure and prioritize Individual Technical Competence of a value chain to assess changes in the human capital of a company. ASKE is an extension of the method Knowledge Value Added, which proposes the use of a proxy variable for measuring the flow of knowledge used in a key process, creating a relationship between the company's financial results and the resources used in each of the business processes.

引用

页码：1166 / 1175

页数：10

共 5 条

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[5] Achieving 'best value' for the community by deployment of risk based cost estimation using Monte-Carlo Simulation to rate-payer-funded capital intensive road projects.
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