Fuzzy Analytical Hierarchy Process for Ecological Risk Assessment
Abstract
Being able to evaluate risks is an important task in many areas of human activity: economics, ecology, etc. Usually, environmental risk assessment is carried out on the basis of multiple and sometimes conflicting factors. Using multiple criteria decision-making (MCDM) methodology is one of the possible ways to solve the problem. Analytic hierarchy process (AHP) is one of the most commonly used MCDM methods, which combines subjective and personal preferences in the risk assessment process. However, the AHP involves human subjectivity, which introduces vagueness type of uncertainty and requires the use of decision making under those uncertainties. In this paper, work with uncertainty is considered using fuzzy-based techniques. The paper also analyses the ecological risk assessment towards human health in case of gaseous substance escape at a chemical factory using the fuzzy analytical hierarchy process.
Keywords: |
Fuzzy logic; fuzzy representation of knowledge; fuzzy analytical hierarchy process; risk assessment
|
Full Text: |
References
D. K. Asante-Duah, Hazardous waste risk assessment, Ann Arbor: Lewis Publishers, pp. 384, 1993.
T. L. Saaty, “A scaling method for priorities in hierarchical structure,” Journal of Mathematical Psychology, vol. 15, pp. 234–281, 1977. https://doi.org/10.1016/0022-2496(77)90033-5
T. L. Saaty, The analytic hierarchy process, New York: McGraw-Hill, 1980.
M. A. Harwell, C. C. Harwell and J. R. Kelly, “Regulatory endpoints, ecological uncertainties, and environmental decision-making,” OCEANS’86, Washington, DC, USA, 1986, pp. 993–998. https://doi.org/10.1109/oceans.1986.1160433
T. L. Saaty, The analytical hierarchy process, Pittsburg: PWS Publications, 1990.
T. L. Saaty and L. G. Vargas, “How to make a decision?”, in Models, methods, concepts and applications of the analytic hierarchy process, vol. 1. Kluwer, Dordrecht, 2001.
C. Lopez and J. L. Salmeron, “Ranking risks in ambient intelligence projects,” Journal of Applied Research and Technology, vol. 9, no. 3, pp. 419–429, 2011.
Y. Wang et al., “Risk assessment of floor water inrush in coal mines based on secondary fuzzy comprehensive evaluation,” International Journal of Rock Mechanics and Mining Sciences, vol. 52, pp. 50–55, 2012. https://doi.org/10.1016/j.ijrmms.2012.03.006
S. Lavasani et al., “Fuzzy risk assessment of oil and gas offshore wells,” Process Safety and Environmental Protection, vol. 89, pp. 277–294, 2011. https://doi.org/10.1016/j.psep.2011.06.006
F. Tuysuz and C. Kahraman, “Project risk evaluation using a fuzzy analytic hierarchy process: an application to information technology projects,” International Journal of Intelligent Systems, vol. 21, pp. 559– 584, 2006. https://doi.org/10.1002/int.20148
H. Deng, “Multi-criteria analysis with fuzzy pairwise comparison,” International Journal of Approximate Reasoning, vol. 21, no. 3, pp. 215– 231, 1999. https://doi.org/10.1016/S0888-613X(99)00025-0
C. Kahraman and T. Ertay, “A fuzzy optimization model for QFD planning process using analytic network approach,” European Journal of Operational Research, vol. 171, pp. 390–411, 2006. https://doi.org/10.1016/j.ejor.2004.09.016
T. L. Saaty, Theory and applications of the analytical network process: decision-making with benefits, opportunities, costs, and risk, University of Pittsburgh, Pittsburgh, RWS Publications, 2005.
S. K. Vaidya, “Analytic hierarchy process: an overview of applications,” European Journal of Operational Research, vol. 169, pp. 1–29, 2006. https://doi.org/10.1016/j.ejor.2004.04.028
D. Chang, “Applications of the extent analysis method on fuzzy AHP,” European Journal of Operational Research, vol. 95, pp. 649–655, 1996. https://doi.org/10.1016/0377-2217(95)00300-2
M. Enea and T. Piazza, “Project selection by constrained fuzzy AHP,” Fuzzy Optimization and Decision Making, vol. 3, issue 1, pp. 39–62, March 2004. https://doi.org/10.1023/B:FODM.0000013071.63614.3d
Y. M. Wang, Y. Luo and Z. Hua, “On the extent analysis method for fuzzy AHP and its applications,” European Journal of Operational Research, vol. 186, pp. 735–747, 2008. https://doi.org/10.1016/j.ejor.2007.01.050
A. C. Kutlu and M. Ekmekçioğlu, “Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP,” Expert Systems with Applications, vol. 39, no. 1 p. 62, 2012. https://doi.org/10.1016/j.eswa.2011.06.044
Refbacks
- There are currently no refbacks.
Copyright (c) 2016 Andrejs Radionovs, Oļegs Užga-Rebrovs
This work is licensed under a Creative Commons Attribution 4.0 International License.