Page 102 - Advances in Renewable Energies and Power Technologies
P. 102
References 75
[67] F. Elkarmi, I. Mustafa, Increasing the utilization of solar energy technologies (SET) in
Jordan, Energy Policy 21 (1993) 978e984, https://doi.org/10.1016/0301-4215(93)
90186-J.
[68] I.A. Chandio, A.N.B. Matori, K.B. WanYusof, M.A.H. Talpur, A.-L. Balogun,
D.U. Lawal, GIS-based analytic hierarchy process as a multicriteria decision analysis
instrument: a review, Arab. J. Geosci. 6 (2013) 3059e3066, https://doi.org/10.1007/
s12517-012-0568-8.
[69] J.M. Sa ´nchez-Lozano, M.S. Garcı ´a-Cascales, M.T. Lamata, Evaluation of suitable lo-
cations for the installation of solar thermoelectric power plants, Comput. Ind. Eng 87
(2015) 343e355, https://doi.org/10.1016/j.cie.2015.05.028.
[70] K.T. Cho, Multicriteria decision methods: an attempt to evaluate and unify, Math. Com-
put. Model 37 (2003) 1099e1119, https://doi.org/10.1016/S0895-7177(03)00122-5.
[71] L.A. Zadeh, Fuzzy sets, Inf. Control 8 (1965) 338e353, https://doi.org/10.1016/
S0019-9958(65)90241-X.
[72] A. Barua, L.S. Mudunuri, O. Kosheleva, Why trapezoidal and triangular membership
functions work so well: towards a theoretical explanation, J. Uncertain. Syst. 8 (2014)
164e168.
[73] K. Chatterjee, S. Kar, Multi-criteria analysis of supply chain risk management using
interval valued fuzzy TOPSIS, Opsearch (2016), https://doi.org/10.1007/s12597-
015-0241-6.
[74] C.-H. Cheng, Y. Lin, Evaluating the best main battle tank using fuzzy decision theory
with linguistic criteria evaluation, Eur. J. Oper. Res. 142 (2002) 174e186, https://
doi.org/10.1016/S0377-2217(01)00280-6.
[75] V. Akbari, M. Rajabi, Landfill site selection by combining GIS and fuzzy multi-criteria
decision analysis, case study: Bandar Abbas, Iran, World Appl. Sci. J. 3 (2008) 39e47.
[76] S. Sener, E. Sener, B. Nas, R. Karagu ¨zel, Combining AHP with GIS for landfill site
selection: a case study in the Lake Bey¸sehir catchment area (Konya, Turkey), Waste
Manag. 30 (2010) 2037e2046, https://doi.org/10.1016/j.wasman.2010.05.024.
[77] M.A. Mohit, M.M. Ali, Integrating GIS and AHP for land suitability analysis for urban
development in a secondary city of Bangladesh, J. Alam Bina 8 (2006) 1e20.
[78] J. Melius, R. Margolis, S. Ong, Estimating Rooftop Suitability for PV: A Review of
Methods, Patents, and Validation Techniques, NREL Technical Report, 2013.
[79] M. Schnitzer, C. Thuman, Reducing Uncertainty in Mitigating Energy Risk Through.
Albany, NY, 2012.
[80] I.N. Durbach, T.J. Stewart, Modeling uncertainty in multi-criteria decision analysis,
Eur. J. Oper. Res. 223 (2012) 1e14, https://doi.org/10.1016/j.ejor.2012.04.038.
[81] M. Go ´mez-Delgado, S. Tarantola, GLOBAL sensitivity analysis, GIS and multi-criteria
evaluation for a sustainable planning of a hazardous waste disposal site in Spain, Int. J.
Geogr. Inf. Sci. 20 (2006) 449e466, https://doi.org/10.1080/13658810600607709.
[82] A. Kengpol, P. Rontlaong, M. Tuominen, Design of a decision support system for site
selection using fuzzy AHP: a case study of solar power plant in North eastern parts of
Thailand, in: Proceedings of PICMET’12: Technology Management for Emerging
Technologies, 2012, pp. 734e743.
[83] The International Energy Agency (IEA), Trends 2016, in: Photovoltaic Applications,
Survey Report of Selected IEA Countries between 1992 and 2015, 2016.
[84] C. Roselund, China claims 34.2 GW of PV Installations in 2016 e PV Magazine In-
ternational, 2017. https://www.pv-magazine.com/2017/01/17/china-claims-34-2-gw-
of-pv-installations-in-2016/.