Physical Stress is a reaction to daily physical or psychological factors. It is necessary to assess stress levels to manage stress regularly. Physical stress may be measured using physician-recommended metrics such as Heart Rate (HR), Blood Pressure (BP), and respiratory activity. The technique of measuring stress is still not fully automated. The doctor will have to diagnose this using numerous factors manually. There is a pressing need to develop an easy method for automatically assessing the physical stress levels of several patients. When presented with several choices and multiple conflicting and non-commensurable decision criteria, multicriterion decision-making (MCDM) is one of the most efficient ways to arrive at an optimal conclusion. Because of its inherent capacity to appraise several options regarding decision criteria, this technique is a well-known solution for addressing difficult real-life situations. Some of the most effective MCDM techniques are Combined Distance-based Assessment (CODAS), Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), and Distance- Based Approach (DBA). In this paper, a hybrid weighted CODAS (W-CODAS) has been proposed and implemented on a dataset of 15 patients, and their stress level has been measured and ranked