Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this work, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic.

Intellectual Capital is gaining importance in today's knowledge economy and plays a vital role in innovation, productivity growth, performance and competitiveness of organizations. The Intellectual Capital may include the following areas: human resources, organizational structure and processes, research and development, technology and rights related to intellectual property, and consumer networks and software providers. The purpose of this work is to measure the intellectual capital in an Algerian organization (or production system) using the Weightless Wealth Tool Kit “WWTK”. The results of the intellectual capital measurement are supplemented by traditional financial ratios. The measurement was applied to the National Company of wells Services (ENSP) in Hassi Messaoud city, in south of Algeria. We calculated the intellectual capital (intangible resources) of the ENSP to help the organization to better capitalize on its potential of workers and their know-how. The intangible value of the ENSP is evaluated at 16,936,173,345 DA in 2015.