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    Fuzzy group decision making model for identifying and ranking of success factors in fraud prevention in Iranian e-banking

    , Article Journal of Information Technology Management ; Volume 9, Issue 2 , 2017 , Pages 355-378 ; 20085893 (ISSN) Alizadeh, A ; Chehrehpak, M ; Sharif University of Technology
    Abstract
    With increasing use of e-banking system in Iranian banking sector, ignoring the issue of fraud in the system will be very costly for banks and e-banking customers. Fraud in e-banking is due to some security problems (such as weakness in access control systems and inadequate internal control). So, identifying success factor in fraud prevention in ebanking can be useful for e-banking system developers to improve these systems security. In this paper we have tried to identify and rank these success factors for fraud prevention in e-banking systems. For this purpose, we first review the literature to find potential factors, then identified factors were weighted by using fuzzy group multi... 

    A new mixed fuzzy-LP method for selecting the best supplier using fuzzy group decision making

    , Article Neural Computing and Applications ; Volume 23, Issue SUPPL1 , 2013 , Pages 345-352 ; 09410643 (ISSN) Sepehriar, A ; Eslamipoor, R ; Nobari, A ; Sharif University of Technology
    2013
    Abstract
    Even though there have been so many articles and studies that focused on the supplier selection problem, a few of them considered the major decisions related to supplier selection. In this paper, the supplier selection problem is studied under a novel fuzzy approach in multiple sourcing conditions to select appropriate supplier in group decision-making environment regarding multiple sources. The use of the model is suitable in evaluating situations that involve subjectivity, vagueness and imprecise information. The group data have been used in multiple criteria decision making with multiple objective supplier selection. Trapezoidal fuzzy numbers are applied to evaluate the weights of...