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Desining an Expert System for Analyzing the Energy Consumption Behavior of Employees in Organizations Using Rough Set Theory | ||
Journal of Information Technology Management | ||
مقاله 9، دوره 7، شماره 2، مهر 2015، صفحه 363-384 اصل مقاله (562.8 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jitm.2015.53917 | ||
نویسنده | ||
Tooraj Karimi* | ||
Assistance Prof., Farabi Campuse, University of Tehran, Tehran, Iran | ||
چکیده | ||
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. | ||
کلیدواژهها | ||
Energy consumption behavior؛ ROSETTA؛ Rough Set Theory؛ Rule induction | ||
عنوان مقاله [English] | ||
طراحی سیستم خبره بهمنظور تحلیل رفتار مصرف انرژی کارکنان بهکمک مدلسازی راف | ||
نویسندگان [English] | ||
تورج کریمی | ||
استادیار مدیریت کسبوکار، پردیس فارابی دانشگاه تهران، تهران، ایران | ||
چکیده [English] | ||
شناخت رفتارهای مصرف انرژی و تغییر آنها، به دانش گستردهای دربارۀ محرکهای رفتار و بیان این دانش بهصورت برنامههای مداخلهگر موفق نیاز دارد. در این مقاله، رفتار مصرف انرژی کارکنان در سازمان، بهکمک مدلسازی راف بررسی شده است. به این منظور پس از انتخاب 13 مشخصۀ موقعیتی (شامل شاخصهای جمعیتی، ارزشی، نگرشی و سازمانی کارکنان) و یک مشخصۀ تصمیم (رفتار مصرف انرژی روشنایی کارکنان)، سیستم اطلاعاتی راف ایجاد شد. 482 نفر از کارکنان شاغل در 37 ساختمان اداری وزارت نفت، بهصورت تصادفی انتخاب شدند و مدلسازی راف برای آنها به اجرا درآمد. با تلفیق روشهای مختلف گسستهسازی داده، تولید بیزائده و تولید قوانین و بهکمک نرمافزار ROSETTA، نُه مجموعۀ قانون تولید شد. نتایج این پژوهش نشان میدهد از بین 13 مشخصۀ موقعیتی، چهار مشخصۀ شهروند سازمانی، رضایتمندی، نوع نگاه به رفتار و امکان کنترل روشنایی، اصلیترین مشخصههای سیستماند و در تمام بیزائدههای تولیدشده، وجود داشتند. پس از اعتبارسنجی مدلهای مختلف، مدل گسستهکردن دستی دادهها که بیزائدههای آن بهکمک الگوریتم ژنتیک و با رویکرد ORR استخراج شدند، بالاترین دقت و اعتبار را نشان دادند. | ||
کلیدواژهها [English] | ||
استنتاج قوانین, رفتار مصرف انرژی, مجموعههای راف, ROSETTA | ||
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