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

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.