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A proposed model for measuring the aggregative risk degree of implementing an RFID digital campus system with the consistent fuzzy preference relations

2012; Elsevier BV; Volume: 37; Issue: 5 Linguagem: Inglês

10.1016/j.apm.2012.06.029

1872-8480

Tsung-Han Chang, Shu‐Chen Hsu, Tien-Chin Wang,

Mobile Crowdsensing and Crowdsourcing

An RFID digital campus system implementation can enhance convenience in teaching environment, teaching quality and administrative efficiency. When administrators decide to implement an RFID digital campus system, they often encounter unexpected internal and external risk factors and difficulties. Therefore, this study proposes a novel analytic hierarchy model for helping administrators to identify the critical risk factors affecting the RFID digital campus system initiation, and measuring the aggregative risk of implementing an RFID digital campus system. The importance weights of risk factors and possible occurrence ratings of four risk grades (high, medium, low and none) are determined by using consistent fuzzy preference relations. The relative priority weights of evaluators are considered simultaneously by using simple additive weighting method. Multiplying the importance weights of risk factors, the possible occurrence ratings of risk grades and the relative priority weights of evaluators, the aggregative risk degree of implementing an RFID digital campus system is derived. University A in Taiwan is used to demonstrate the computation procedures of this proposed methodology.