**3. Cost benefit analysis of KMS investment**

Referring to the limitations of existing cost-benefit analysis as discussed in Section 2, a new mechanism that can solve the problem must be established. This paper proposes framework that able to bridging intangible and tangible benefit for cost-benefit analysis as shown in Figure 1. The framework consists of four main process and one sub process namely benefit identification, knowledge acquisition, determine the probability distribution, modelling of risk impact to economic model, and performing simulation for risk analysis.

The proposed framework starts with to identify the benefit of KMS investment (See Figure 1, Benefit Identification process). Once the benefit identification has been done, the knowledge acquisition for handling the intangible benefits by using fuzzy rule-based system (FRBS) is conducted (See Figure 1, Knowledge Acquisition process). Furthermore, the output of knowledge acquisition process and tangible benefit are determined their probability distribution based on the characteristic of data (See Figure 1, Determine the Probability Distribution for Each Benefit). Once a FRBS has been set up, the probability distributions of those intangible and tangible benefits are linked to an economic model (See Figure 1, Modelling of Cost Benefit Impact to KMS Investment). Finally, perform the simulation for forecasting the certainty level of expected NPV (See Figure 1, Performing Simulation).

In order to illustrate how the proposed framework works, a cost benefit analysis of KMS investment for a software house company ABC is given in the following section.
