Evaluation of fuzzy models to support online-trust assessment

Author First name, Last name, Institution

Fahim Akhter, Zayed University
Zakaria Maamar, Zayed University

Document Type

Book Chapter

Source of Publication

Comparison-Shopping Services and Agent Designs

Publication Date

12-1-2009

Abstract

Online trust is a critical element to the success of electronic commerce (e-commerce). Indeed it reduces the level of uncertainty that arises because of the lack of face-to-face interactions with vendors. In ecommerce purchaser-vendor interactions are subject to uncertainty, anonymity, and communication means reliability. This chapter discusses how some trust models have been developed to address these issues. Some models promote familiarity and competitiveness as part of the exercise of assessing online trust. This assessment uses fuzzy logic-based techniques. © 2009, IGI Global.

DOI Link

10.4018/978-1-59904-978-6.ch006

ISBN

9781599049786

Publisher

IGI Global

First Page

90

Last Page

100

Disciplines

Computer Sciences

Scopus ID

84900628159

Recommended Citation

Akhter, Fahim and Maamar, Zakaria, "Evaluation of fuzzy models to support online-trust assessment" (2009). All Works. 1552.
https://zuscholars.zu.ac.ae/works/1552

Indexed in Scopus

yes

Open Access

no