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Implementation of a fuzzy-logic-based trust model.

机译:基于模糊逻辑的信任模型的实现。

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摘要

This thesis is dedicated to develop a fuzzy-logic based trust model. In general, the e-commerce transactions need costly verification and authentication process. In some cases, it is not cost effective to verify and authenticate each transaction, especially for transactions involving only small amount of money and for customers having an excellent transaction history.;In view of this, in this research a model that distinguishes potentially safe transactions from unsafe transactions is developed. Only those potentially unsafe transactions need to be verified and authenticated.;The model takes a number of fuzzy variables as inputs. However, this poses problems in constructing the trust table since the number of fuzzy rules will increase exponentially as the number of fuzzy variables increase. To make the problem more trackable, the variables are divided into several groups, two for each table. Each table will produce a decision on trust. The final decision is made based on the "intersection" of all these outputs.;Simulation studies have been conducted to validate the effectiveness of the proposed trust model. (Abstract shortened by UMI.).
机译:本文致力于建立基于模糊逻辑的信任模型。通常,电子商务交易需要昂贵的验证和认证过程。在某些情况下,验证和认证每笔交易的成本效益不高,特别是对于只涉及少量资金的交易和具有良好交易历史的客户而言。鉴于此,在本研究中,模型区分了潜在的安全交易不安全交易的发展。只需要验证和认证那些潜在的不安全交易。该模型将许多模糊变量作为输入。但是,由于模糊规则的数量将随着模糊变量的数量的增加而呈指数增加,因此在构造信任表时会出现问题。为了使问题更易于跟踪,将变量分为几组,每个表两组。每个表都会对信任做出决定。最终决定基于所有这些输出的“交集”。进行了仿真研究,以验证所提出的信任模型的有效性。 (摘要由UMI缩短。)。

著录项

  • 作者

    Zhao, Yuanhui.;

  • 作者单位

    Florida Atlantic University.;

  • 授予单位 Florida Atlantic University.;
  • 学科 Electrical engineering.;Artificial intelligence.
  • 学位 M.S.
  • 年度 2001
  • 页码 76 p.
  • 总页数 76
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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