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Fuzzy Logic Approach in Risk Assessment

Fuzzy Logic Approach in Risk Assessment
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Author(s): Çetin Karahan (Directorate General of Civil Aviation, Turkey), Esra Ayça Güzeldereli (Afyon Kocatepe University, Turkey) and Aslıhan Tüfekci (Gazi University, Turkey)
Copyright: 2018
Pages: 17
Source title: Encyclopedia of Information Science and Technology, Fourth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-2255-3.ch588

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Abstract

Risk is the likelihood of occurrence of any event that may obstruct the ability of organizations to achieve their strategic, financial and operational goals. It is of profound importance for the business management to detect risks and determine appropriate actions against in time. Risk assessment is a continuous and recursive process aimed at maximization of the use of opportunities while minimizing threats. There is a tendency in the field of risk assessment to prefer more quantitative methods to reduce unclarity. One such method is fuzzy logic. This study investigates fuzzy logic as an alternative to the classical methods that have been used for the purposes of risk assessment, which plays a crucial role in business action plans. Due to its similarity to the process of human reasoning and its success in cases of unclarity, fuzzy logic offers a number of advantages in this regard.

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