Semnan University International Journal of Nonlinear Analysis and Applications 2008-6822 2025 12 22 Simulating an adaptive neuro-fuzzy inference system (ANFIS) model of innovation labs for technology-based firms (TBFs) of Iran (case study: Firms in Pardis Technology Park of Tehran) to predict the level of digitalization of the innovation process 10363 10.22075/ijnaa.2024.33900.5056 EN Ali Bagheri Department of Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran Reza Radfar Department of Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran Sepehr Ghazinoori Department of Information Technology Management, Tarbiat Modares University, Tehran, Iran Journal Article 2024 02 23 This study aims to simulate an adaptive Neuro-Fuzzy inference system model of innovation labs, which is a model to predict the level of digitization of the innovation process in knowledge-based companies. The results of 188 indicators were distributed among 18 experts in this field in the form of a 5-point Likert questionnaire and a two-round Delphi method. The result of the work was 5 components as input to the model, which were sent in the form of a questionnaire to 230 knowledge-based companies in Pardis Technology Park, of which 198 companies completed and resubmitted. From this number of samples, 150 data points were isolated for training data and 48 data as model testing based on a random function. In the last phase, i.e. modelling, the adaptive fuzzy-neural inference method was used for the model. The network separation method or the lookup table (PG) in MATLAB 2023 software was used to evaluate the performance of the model using the root mean square error (RMSE) and relative error(E). This research was able to present the design model of a smart innovation lab with a very low error. As a result, it was able to achieve effective indicators in the degree of digitalization of the innovation process. https://ijnaa.semnan.ac.ir/article_10363_a1dc51ee503c5fe5170288a0b5bfc089.pdf