Sensors and Sensing Systems (SASS) are important components of technology that collect data from any chemical quantity, physical quantity and biological quantity. It can be found in a wide range of applications. As a result, it must be stable and properly applied, as well as undergo continuous system improvement. This research focuses on identifying sensors and sensing system enablers that can be used to improve the quality findings. The main enablers for SASS are determined using a Pythagorean fuzzy Analytic Hierarchy Process (AHP) method. The identified enablers can be implemented successfully to enhance the sensing process.