Measuring and monitoring the glucose and other blood elements through high accuracy non-invasive method. The proposed approach is based on TS Fuzzy model in order to modeling the proportion of each component in blood. This model determine the degree of absorption for each component and allows the measurement of glucose with more degree of accuracy. The proposed method use Monte Carlo Simulation in order to measuring the path-length of photon in different tissues. We develop a modified Monte Carlo Algorithm based on TS Fuzzy model. Then, we can determine several concentration of elements in blood by using this method. On the other hand, we propose a novel laser diode in order to measuring concentrations of different blood components. The proposed diode give a de-multiplexing of enter light to several wavelengths needed for determination of element concentration in blood by using Bear Lambert Law. Two methods are proposed or this end, Silicon On Isolator method and Photonic Crystal method. We develop Multiplexer/De-Multiplexer based on one of these method in order to decompose the incident light to wavelength needed by system. Third part, concern the modification of regression approach by using TS Fuzzy model in order to give more accuracy in measurement of glucose level in blood. The regression methods studies are linear regression and ordinary least square regression.La présente invention concerne la mesure et la surveillance du glucose et dautres éléments sanguins par un procédé non invasif à précision élevée. Lapproche proposée est basée sur un modèle de logique floue TS afin de modéliser la proportion de chaque composant dans le sang. Ce modèle détermine le degré dabsorption pour chaque composant et permet la mesure du glucose avec plusieurs degrés de précision. Le procédé proposé utilise une simulation de Monte Carlo afin de mesurer la longueur de trajet de photon dans différents tissus. Nous développons un algorithme de Monte-Carlo basé sur un modèle de logique
