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Abstract.A Balanced Scorecard is more than a business model because it moves performance measurement to performance management. It consists of performance indicators which are inter-related. Some relations are hard to find, like soft skills. We propose a procedure to fully specify these relations. Three types of relationships are considered. For the function types inverse functions exist. Each equation can be solved uniquely for variables at the right hand side. By generating noisy data in a Monte Carlo simulation, we can specify function type and estimate the related parameters. An example illustrates our procedure and the corresponding results. Related workIndicator systems are appropriate instruments to define business targets and to measure management indicators together. Such a system should not be just a system of hard indicators; it should be used as a system with control in which one can bring hard indicators and management visions together.In the beginning of the 90's Johnson and Kaplan (1987) published the idea how to bring a company's strategy and used indicators together. This system, also known as Balanced Scorecards (BSC), is developed until now.The relationships between those indicators are hard to find. According to Marr (2004), companies understand better their business if they visualise relations between available indicators. However, some indicators influence each other in cause and effect relations which increases the validity of these indicators. Unusually, compared to a study of Ittner et al (2003) and Marr (2004) 46% of questioned companies do not or are not able to visualise cause-and-effect relations of indicators.Several approaches try to solve the existing shortcomings.A possible way to model fuzzy relations in a BSC is described in Nissen (2006). Nevertheless, this leads to restrictions in the variable domains.

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