Abstarct: Earthquakes, one of the most destructive natural disasters, constantly pose a threat to human life and property. The Iranian Plateau, situated within the seismically active Alp-Himalayan belt, is not immune to these hazards. Although accurate earthquake prediction remains elusive, seismology is continually advancing, and various methods exist to mitigate earthquake risks. By taking preventive measures and raising public awareness, the destructive effects of earthquakes can be reduced.This research employs a group-baxsed data management algorithm to estimate the Arias intensity function for the Iranian Plateau. Arias intensity is a critical measure for assessing ground shaking intensity and serves as a basis for seismic hazard assessment and the design of earthquake-resistant structures. This study utilizes recorded data from 1990 to 2022. Notably, the collected data has been categorized into two primary regions: the Alborz-Central Iran region and the Zagros region. The primary source for these records is the Accelerometric Network of the Iranian Building and Housing Research Center.After extracting seismic parameters such as moment magnitude, epicentral distance, and shear wave velocity from the seismic data obtained from the Iranian National Accelerometric Network, the Arias intensity for these records was calculated using the SeisMoSig software. These data were then used as input for this study. By applying the group-baxsed data management algorithm, the attenuation relationship of the Arias intensity function was separately obtained for the two mentioned regions.The relationships obtained from this research exhibit satisfactory agreement with previous studies. Furthermore, the goodness-of-fit values in this study for the Arias intensity relationship in the Alborz-Central Iran region (N=1) and the Zagros region (N=2) are 682.8 and 767.5 out of 1000, respectively. This indicates a reasonable level of accuracy in estimating the attenuation relationship of the Arias intensity function. Finally, the results are compared with other relationships presented in the technical literature.