Fuzzy integral operator for feature models

Feature models have been one of the leading methods, which demonstrate the effects of product variants on the system, used for modeling software product lines, recently. Fuzzy integral has been considered as an effective calculation method that can be used to evaluate variants of different options having different priorities and criteria. In this thesis, the feature model of an ultra-wideband radar system has been proposed for detection, imaging, and classification of lives behind the wall. Convolutional neural networks, one of the deep learning methods, were used as the classification method, and successful results were obtained.