DocumentCode :
120935
Title :
Fuzzy based trust model to evaluate and analyse trust in B2C E-Commerce
Author :
Anurag ; Aggarwal, Suhas
Author_Institution :
Dept. of Comput. Sci., Inst. of Technol. & Manage., Gurgaon, India
fYear :
2014
fDate :
21-22 Feb. 2014
Firstpage :
1300
Lastpage :
1306
Abstract :
Trust lies at the acme in this competitive trend of E-Commerce. Trust enumerates the different prospects of trustworthiness that are sculpted between the vendor and customer, inducing a better customer satisfaction and Business-to-Customer (B2C) E-Commerce. Considering the vagueness and ambiguity of E-Commerce trust different trust models coupled with Fuzzy Logic (FL) have been implemented through time. In this paper we proposed a fuzzy based trust model where all the important facets that affect the trust are taken into account. Traditional trust models were based on subjective logic which fails to map the real time environment of E-commerce that deals with uncertain behavioral values, Fuzzy logic is a way to deal with uncertainty.
Keywords :
customer satisfaction; electronic commerce; fuzzy logic; trusted computing; uncertainty handling; B2C E-commerce; E-commerce trust ambiguity; E-commerce trust vagueness; business to customer; customer satisfaction; fuzzy based trust model; fuzzy logic; subjective logic; uncertain behavioral value; uncertainty handling; Conferences; Decision support systems; Handheld computers; Three-dimensional displays; Business-To-Customer; E-Commerce; Fuzzy Logic; Trust;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
Type :
conf
DOI :
10.1109/IAdCC.2014.6779515
Filename :
6779515
Link To Document :
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