DocumentCode :
653294
Title :
Synthetic Evaluation of the Trustworthiness of Integrated Monitoring-Controlling System for LED Display Based on Fuzzy AHP
Author :
Yuanmei Wen ; Li Luo ; Xuechen Yu ; Yanyu Chen
Author_Institution :
Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
1089
Lastpage :
1093
Abstract :
To serve the trustworthiness demand of large-scale monitoring & control system based on Internet of things (IOT), the fuzzy theory combined with Analytic Hierarchy Process (AHP) is explored in the LED display monitoring & control system´s trustworthiness evaluation. Based on the designed architecture of integrated monitoring & control system for LED display, it puts forward the index system and FAHP based trustworthiness evaluation model. According to living example validating, the model solves the problems from fuzziness and variety of trustworthiness indexes, and meets the needs of trustworthiness evaluation for complex monitoring & control system base on IOT.
Keywords :
Internet of Things; LED displays; analytic hierarchy process; fuzzy set theory; monitoring; FAHP based trustworthiness evaluation model; IOT; Internet of things; LED display monitoring & control system; analytic hierarchy process; complex monitoring & control system base; designed architecture; fuzziness; fuzzy AHP; fuzzy theory; index system; integrated monitoring & control system; integrated monitoring-controlling system; large-scale monitoring & control system; living example validation; synthetic evaluation; trustworthiness demand; trustworthiness index; Control systems; Educational institutions; Indexes; Light emitting diodes; Monitoring; Security; Vectors; Fuzzy AHP; Monitoring & Controlling System; Trustworthiness Evaluation; index system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.187
Filename :
6682201
Link To Document :
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