Applications of ordered weighted averaging (OWA) operators in environmental problems
Submitted: 2016-12-06
|Accepted:
|Published: 2017-04-10
Downloads
Keywords:
OWA operators, stakeholders, decision-making, water resources management
Supporting agencies:
Abstract:
This paper presents an application of a prioritized weighted aggregation operator based on ordered weighted averaging (OWA) to deal with stakeholders' constructive participation in water resources projects. They have different degree of acceptance or preference regarding the measures and policies to be carried out, which lead to different environmental and socio-economic outcomes, and hence, to different levels of stakeholders’ satisfaction. The methodology establishes a prioritization relationship upon the stakeholders, which preferences are aggregated by means of weights depending on the satisfaction of the higher priority policy maker. The methodology establishes a prioritization relationship upon the stakeholders, which preferences are aggregated by means of weights depending on the satisfaction of the higher priority policy maker. The methodology has been successfully applied to a Public Participation Project (PPP) in watershed management, thus obtaining efficient environmental measures in conflict resolution problems under actors’ preference uncertainties.
References:
Berbegal-Mirabent, J., Llopis-Albert, C. (2016). Applications of fuzzy logic for determining the driving forces in collaborative research contracts. Journal of Business Research 69(4), 1446–1451. https://doi.org/10.1016/j.jbusres.2015.10.123.
CHS (2016). Segura river basin authority. http://www.chsegura.es/
CHJ (2016). Júcar river basin authority. http://www.chj.es/
EC (2000). Directive 2000/60/EC of the European Parliament and of the Council of October 23 2000 Establishing a Framework for Community Action in the Field of Water Policy. Official Journal of the European Communities, L327/1eL327/72. 22.12.2000
Llopis-Albert, C., Merigó, J.M., Xu, Y., (2016). A coupled stochastic inverse/sharp interface seawater intrusion approach for coastal aquifers under groundwater parameter uncertainty. Journal of Hydrology, 540, 774–783. https://doi.org/10.1016/j.jhydrol.2016.06.065
Llopis-Albert, C., Palacios-Marqués, D., Merigó, J.M., (2016a). Decision-making under uncertainty in environmental projects using mathematical simulation modeling. Environmental Earth Sciences. https://doi.org/10.1007/s12665-016-6135-y
Llopis-Albert, C., Palacios-Marqués, D., (2016). Applied Mathematical Problems in Engineering. Multidisciplinary Journal for Education, Social and Technological Sciences 3(2), 1-14. https://doi.org/10.4995/muse.2016.6679
Llopis-Albert, C., Palacios-Marqués, D., Soto-Acosta, P. (2015). Decision-making and stakeholders' constructive participation in environmental projects. Journal of Business Research 68, 1641–1644. https://doi.org/10.1016/j.jbusres.2015.02.010
Llopis-Albert, C., Pulido-Velazquez, D. (2015). Using MODFLOW code to approach transient hydraulic head with a sharp-interface solution. Hydrological Processes, 29(8), 2052–2064. https://doi.org/10.1002/hyp.10354
Llopis-Albert, C., Merigó, J.M, Palacios-Marqués, D. (2015). Structure Adaptation in Stochastic Inverse Methods for Integrating Information. Water Resources Management 29(1), 95-107. doi: https://doi.org/10.1007/s11269-014-0829-2
Llopis-Albert, C., Pulido-Velazquez, D. (2014). Discussion about the validity of sharpinterface models to deal with seawater intrusion in coastal aquifers. Hydrological Processes 28(10), 3642–3654. https://doi.org/10.1002/hyp.9908
Llopis-Albert, C., Palacios-Marqués, D., Merigó, José .M. (2014). A coupled stochastic inverse-management framework for dealing with nonpoint agriculture pollution under groundwater parameter uncertainty. Journal of Hydrology 511, 10–16. https://doi.org/10.1016/j.jhydrol.2014.01.021
Llopis-Albert, C. and Capilla, J.E. (2010). Stochastic simulation of non-Gaussian 3D conductivity fields in a fractured medium with multiple statistical populations: a case study. Journal of Hydrologic Engineering, 15(7), 554-566. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000214
Llopis-Albert, C. and Capilla, J.E. (2010a). Stochastic inverse modeling of hydraulic conductivity fields taking into account independent stochastic structures: A 3D case study. Journal of Hydrology, 391, 277–288. https://doi.org/10.1016/j.jhydrol.2010.07.028
Molina, J.L., Pulido-Velázquez, M., Llopis-Albert, C., Peña-Haro, S., (2012). Stochastic hydro-economic model for groundwater quality management using Bayesian networks. Water Science & Technology, 67(3), 579-586. https://doi.org/10.2166/wst.2012.598
O'Hagan, M. (1988). Aggregating Template Rule Antecedents in Real-time Expert Systems with Fuzzy Set Logic. In, Proceedings of 22nd annual IEEE Asilomar Conference on Signals, Systems and Computers, IEEE and Maple Press, Pacific Grove, 681-689. https://doi.org/10.1109/acssc.1988.754637
Peña-Haro, S., Llopis-Albert, C., Pulido-Velazquez, M. (2010) Fertilizer standards for controlling groundwater nitrate pollution from agriculture: El Salobral-Los Llanos case study, Spain. Journal of Hydrology 392(3): 174–187. https://doi.org/10.1016/j.jhydrol.2010.08.006
Peña-Haro, S., Pulido-Velazquez, M., Llopis-Albert, C. (2011). Stochastic hydroeconomic modeling for optimal management of agricultural groundwater nitrate pollution under hydraulic conductivity uncertainty. Environmental Modelling & Software 26 (8), 999-1008. https://doi.org/10.1016/j.envsoft.2011.02.010
Pulido-Velazquez, D.; Llopis-Albert, C.; Peña-Haro, S.; Pulido-Velazquez, M. (2011). Efficient conceptual model for simulating the effect of aquifer heterogeneity on natural groundwater discharge to rivers. Advances in Water Resources 34(11), 1377-1389. https://doi.org/10.1016/j.advwatres.2011.07.010
Verma, R., Sharma, B. (2016). Prioritized information fusion method for triangular fuzzy information and its application to multiple attribute decision making. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 24, 265-290. https://doi.org/10.1142/S0218488516500136
Wang, H.M., Xu, Y.J., Merigó, J.M., (2014). Prioritized aggregation for nonhomogeneous group decision making in water resource management. Economic Computation and Economic Cybernetics Studies and Research, 48(1), 247-258.
Xu, Z.S., (2005). An Overview of Methods for Determining OWA Weights. International Journal of Intelligent Systems, 20, 843-865. https://doi.org/10.1002/int.20097
Xu, Y., Llopis-Albert, C., González, J. (2014). An application of Structural Equation Modeling for Continuous Improvement. Computer Science and Information Systems 11(2), 797–808. https://doi.org/10.2298/CSIS130113043X
Yager, R.R. (1988). On ordered weighted averaging aggregation operators in multicriteria decision making, IEEE Transactions on Systems, Man and Cybernetics B 18 (1988) 183-190. https://doi.org/10.1109/21.87068
Yager, R.R. (2004). Modeling Prioritized Multicriteria Decision Making. IEEE Transactions on Systems, Man, and Cybernetics -Part B: Cybernetics; 34, 2396-2404. https://doi.org/10.1109/TSMCB.2004.837348
Yager, R.R. (2008). Prioritized Aggregation Operators. International Journal of Approximate Reasoning, 48, 263-274. https://doi.org/10.1016/j.ijar.2007.08.009
Yager, R.R. (2009). Prioritized OWA Aggregation. Fuzzy Optimization and Decision Making, 8, 245-262. https://doi.org/10.1007/s10700-009-9063-4
Yager, R.R., Kacprzyk, J., Beliakov, G. (2011). Recent developments on the ordered weighted averaging operators: Theory and practice, Springer-Verlag, Berlin. https://doi.org/10.1007/978-3-642-17910-5
Zadeh, L.A. (1983). A Computational Approach to Fuzzy Quantifiers in Natural Languages. Computers & Mathematics with Applications, 9, 149-184. https://doi.org/10.1016/0898-1221(83)90013-5
