Univrsity Of Tehran Press Journal of Information Technology Management 2980-7972 7 2 2015 06 22 Desining an Expert System for Analyzing the Energy Consumption Behavior of Employees in Organizations Using Rough Set Theory طراحی سیستم خبره به‎منظور تحلیل رفتار مصرف انرژی کارکنان به‎کمک مدل‎سازی راف 363 384 53917 10.22059/jitm.2015.53917 EN Tooraj Karimi Assistance Prof., Farabi Campuse, University of Tehran, Tehran, Iran Journal Article 2014 11 23 Understanding and changing the energy consumption behavior requires extensive knowledge about the motives of behavior. In this research, Rough Set Theory is used to investigate the energy consumption behavior of employees in organizations. So, thirteen condition attributes and a decision attribute are selected and the decision system is created. Condition attributes include demographic, values, attitudes and organizational characteristics of employees and decision attribute relates to energy consumption behavior. 482 employees are selected randomly from 37 office buildings of ministry of Petroleum and rough modeling are performed for them. By combining different methods of discretizing, reduction algorithms and rule generating, nine models are made using ROSETTA software. The results show that four of the 13 condition attributes, involving “organizational citizenship”, “satisfaction”, “attitude toward behavior” and “lighting control” are selected as the main features of the system. After cross validation of the various models, the model of manually discretizing using genetic algorithms and ORR approach to extract reducts has the most accuracy and selected as the most reliable model. https://jitm.ut.ac.ir/article_53917_92123a5817163c9a00bf76a55c50f6d0.pdf