DocumentCode :
1795808
Title :
Fuzzy networks: What happens when fuzzy people are connected through social networks
Author :
Li-Xin Wang ; Mendel, Jerry M.
Author_Institution :
Dept. of Autom. Sci. & Technol., Xian Jiaotong Univ., Xian, China
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
30
Lastpage :
37
Abstract :
A fuzzy node is a fuzzy set whose membership function contains some uncertain parameters. Two fuzzy nodes are connected if the uncertain parameter of one node is provided by the fuzzy set from the other node. A fuzzy network is a connection of a number of fuzzy nodes. We define Gaussian Fuzzy Networks and study a number of basic connections in details, including basic center, basic standard deviation (sdv), basic center-sdv, chain-in-center, chain-in-sdv, self-feedback and some other connections. We derive the membership functions resulting from these connections that reveal how the fuzziness is propagated through the networks, and we explain what the mathematical results mean with respect to human behaviors.
Keywords :
Gaussian processes; fuzzy set theory; social networking (online); Gaussian fuzzy networks; basic center-sdv; basic standard deviation; chain-in-center; chain-in-sdv; fuzziness propagation; fuzzy node; fuzzy people; fuzzy set; human behaviors; membership functions; self-feedback; social networks; uncertain parameters; Bayes methods; Fuzzy sets; Network theory (graphs); Pragmatics; Social network services; Standards; Uncertainty; Social networks; fuzzy sets; human models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computational Intelligence (FOCI), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/FOCI.2014.7007804
Filename :
7007804
Link To Document :
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