Title :
Intelligent IOT-Based Tracing System for Backward Design Using FCM and Fuzzy Rule
Author_Institution :
Dept. of Bus. Adm., Aletheia Univ., Taipei, Taiwan
Abstract :
In the product usage life cycle, the problems found by customers can be considered separately to the market, procurement, manufacturing and channel departments to generate the product related attributes. This has meant that do not consider other process multi-attributes simultaneously, and do not capture enough structured and relational feedback information through product usage life cycle. This paper design the intelligent agent-based tracing system based on IOT(internet of things) architecture using FCM (fuzzy cognitive maps) and fuzzy rule method for product usage life cycle. It aimed at simulate complex system with imprecise relationships while quantifying the performance impact of backward design process efficiency using the total effects algorithm.
Keywords :
Internet of Things; fuzzy logic; multi-agent systems; product life cycle management; production engineering computing; FCM; IOT architecture; Internet of Things architecture; backward design process; channel departments; fuzzy cognitive maps; fuzzy rule method; intelligent IOT-based tracing system; intelligent agent-based tracing system; manufacturing departments; market departments; performance impact; procurement departments; product related attribute generation; product usage life cycle; relational feedback information; total effects algorithm; Intelligent systems; Internet; Organizations; Problem-solving; Radiofrequency identification; Software; fuzzy cognitive maps; fuzzy rule; intelligent agent-based tracing system; internet of things;
Conference_Titel :
Intelligent Systems (GCIS), 2013 Fourth Global Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-2885-9
DOI :
10.1109/GCIS.2013.43
