A Fuzzy Multi-Attribute Decision Making Model for Strategic Risk Assessment

DOI

10.1080/18756891.2013.781334How to use a DOI?

Keywords

Risk assessment, multi attribute decision making, fuzzy analytic hierarchy process, fuzzy logarithmic least squares method

Abstract

Risk assessment is a very important issue for an effective institution, since the lack of accurate risk assessment method or the improper risk management might cause problems to achieve institutions’ strategic objectives. There are a finite number of risks which have to be ranked considering many different and conflicting criteria. In this respect, assessing risks by relating to strategic objectives is a multi-attribute decision making problem. In this study, an integrated approach which employs analytic hierarchy process (AHP) and fuzzy logarithmic least squares method (LLSM) together is proposed for the strategic risk assessment problem. The AHP is used to analyze the structure of the risk assessment problem and to determine weights of the criteria, and fuzzy LLSM method is used to obtain final ranking. Proposed approach is applied to a problem of prioritizing risks in a public institution.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Rabia Arikan
AU  - Metin Dağdeviren
AU  - Mustafa Kurt
PY  - 2013
DA  - 2013/05/01
TI  - A Fuzzy Multi-Attribute Decision Making Model for Strategic Risk Assessment
JO  - International Journal of Computational Intelligence Systems
SP  - 487
EP  - 502
VL  - 6
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.781334
DO  - 10.1080/18756891.2013.781334
ID  - Arikan2013
ER  -