A comprehensive performance evaluation framework of complex products based on a fuzzy AHP and DS theory

With the development of computer technique, performance evaluation of complex products is playing an increasingly critical role in ensuring product quality and improving development process. An extensible comprehensive performance evaluation framework with the integration of effective group decision-making algorithms could be a supporting tool to achieve an efficient evaluation process and reduce comprehensive evaluation difficulty. This paper aims to provide a evaluation framework with friendly interactive operation and extensive expansibility, which adopts a multi-expert evaluation approach based on fuzzy, analytical hierarchy process (FAHP) and Dempstere–Shafer (DS) theory (FADS) in order to consider experts’ relative importance degree. In addition, an extensible evaluation process and related auxiliary functions are implemented in the framework, including the establishment of an assessment index system, integration and calls of multiple types of testing data preprocessing methods and index assessment methods suitable for small sample data, graphical result display and data analysis, etc. Finally, performance evaluation cases of two models of airborne radar anti-jamming are presented to verify the feasibility and expansibility of our assessment framework. The group decision-making method shows its effectiveness compared with the experimental evaluation results by the FAHP researched method.