A Fuzzy Approach for an IoT-Based Automated Employee Performance Appraisal

• 作者: Jaideep Kaur Kamaljit Kaur
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 工学
• 关键词: EMPLOYEE Performance APPRAISAL fuzzy LOGIC internet of things(IoT) COGNITIVE decision making
• 年，卷（期）: 2017,（1）
• 页码范围: 23-36
• 页数: 14页
• 分类号: TN9

摘要

The ubiquitous Internet of Things (IoT) through RFIDs, GPS, NFC and otherwireless devices is capable of sensing the activities being carried around Industrialenvironment so as to automate industrial processes. In almost every industry, employeeperformance appraisal is done manually which may lead to favoritisms. This paperproposes a framework to perform automatic employee performance appraisal based ondata sensed from IoT. The framework classifies raw IoT data into three activities (Positive,Negative, Neutral), co-locates employee and activity in order to calculate employeeimplication and then performs cognitive decision making using fuzzy logic. From theexperiments carried out it is observed that automatic system has improved performance ofemployees. Also, the impact of the proposed system leads to motivation among employees.The simulation results show how fuzzy approach can be exploited to reward or penalizeemployees based on their performance.