A New Hybrid Method for Risk Management in Expert Systems

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Author(s)

Fereshteh Mohammadi 1,* Mohammad bazmara 1 Hatef Pouryekta 2

1. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

2. Islamic Azad University of Abhar, Zanjan, Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2014.07.08

Received: 13 Aug. 2013 / Revised: 4 Dec. 2013 / Accepted: 11 Feb. 2014 / Published: 8 Jun. 2014

Index Terms

Risk Assessment, Expert Systems, Certainty Factor, Fuzzy Logic

Abstract

Information security management is a part of information management, whose main task is to determine information goals and remove obstacles on the way of achieving such goals with providing necessary strategies. Information management is responsible to implement and control the performance of the organization`s security system while tries to keep it up to date. The purpose of information security management in an organization is maintaining different sorts of resources as software, hardware, information, communication and human resources.
The organization needs an integrated program against threats such as unauthorized access to information, environmental risks and dangers caused by users. In the present paper, the IT risk in an organization was assessed through an intelligent system benefiting from fuzzy analysis and certainty factors. As most of ambiguity samples have a level of belie, so doubt and the degree of membership were calculated as a part of output in the system and a better result achieved compared to previous methods.

Cite This Paper

Fereshteh Mohammadi, Mohammad bazmara, Hatef Pouryekta, "A New Hybrid Method for Risk Management in Expert Systems", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.7, pp.60-65, 2014. DOI:10.5815/ijisa.2014.07.08

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