[1] A. J. Ansari and I. Ashraf, Best energy option selection using fuzzy multi-criteria decision
making approach, International Journal of Advanced Renewable Energy Research, 1 (2012),
269-275.
[2] L. Balezentiene, D. Streimikiene and T. Balezentis, Fuzzy decision support methodology for
sustainable energy crop selection, Renewable and Sustainable Energy Reviews., 17 (2013),
83{93.
[3] M. Beccali, M. Cellura and D. Ardent, Decision making in energy planning: The electre
multi criteria analysis approach compared to a fuzzy-sets methodology, Energy Conversion
and Management, 39 (1998), 16-18.
[4] H. Benli, Potential of renewable energy in electrical energy production and sustainable energy
development of turkey: Performance and policies, Renewable Energy, 50 (2013), 33-46.
[5] M. Bernasconi, C. Choirat and R. Seri, Empirical properties of group preference aggregation
methods employed in AHP: Theory and evidence, European Journal of Operational Research.,
232 (2014), 584{592.
[6] J. J. Buckley, Fuzzy hierarchical analysis, Fuzzy Sets And Systems, 17 (1985), 233-247.
[7] F. Cavallaro, Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated
solar power (CSP) systems, Applied Energy, 87 (2010), 496{503.
[8] P. L. Chang, C. W. Hsu and C. Y. Lin, Assessment of hydrogen fuel cell applications using
fuzzy multiple-criteria decision making method, Applied Energy, 100 (2012), 93-99.
[9] H. H. Chen and C. Pang, Organizational forms for knowledge management in photovoltaic
solar energy industry, Knowledge-Based Systems, 23 (2010), 924{933.
[10] S. M. Chen and L. W. Lee, Fuzzy multiple attributes group decision-making based on the
interval type-2 TOPSIS method, Expert Systems with Applications, 37 (2010), 2790{2798.
[11] D. Choudhary and R. Shankar, An STEEP-fuzzy AHP-TOPSIS framework for evaluation
and selection of thermal power plant location: A case study from India, Energy, 42 (2012),
510-521.
[12] T. U. Daim, X. Li, J. Kim and S. Simms, Evaluation of energy storage technologies for integration
with renewable electricity: Quantifying expert opinions, Environmental Innovation
and Societal Transitions, 3 (2012), 29-49.
[13] M. S. Garca-Cascales, M. T. Lamata and J. M. Sanchez-Lozano, Evaluation of photovoltaic
cells in a multi-criteria decision making process, Annals of Operations Research, 199 (2012),
373{391.
[14] L. A. Greening and S. Bernow, Design of coordinated energy and environmental policies: Use
of multi-criteria decision-making, Energy Policy, 32 (2004), 721{735.
[15] E. Hisdal, The IF THEN ELSE statement and interval-valued fuzzy sets of higher type,
International Journal of Man-Machine Studies, 15 (1981), 385{455.
[16] S. Hsueh, A fuzzy utility-based multi-criteria model for evaluating Households' energy conservation
performance: A taiwanese case study, Energies., 5 (2012), 2818-2834.
[17] C. L. Hwang and K. S. Yoon, Multiple attribute decision making: Methods and applications,
Springer-Verlag, Berlin, 1981.
[18] Y. Jing, H. Bai and J.Wang, A fuzzy multi-criteria decision-making model for CCHP systems
driven by di erent energy sources, Energy Policy, 42 (2012), 286-296.
[19] R. I. John, Type 2 fuzzy sets: An appraisal of theory and applications, International Journal
of Uncertainty, Fuzziness Knowledge-Based Systems, 6 (1998), 563{576.
[20] C. Kahraman, _I. Kaya and S. Cebi, A comparative analysis for multi attribute selection
among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy
process, Energy, 34 (2009), 1603-1616.
[21] C. Kahraman, and _I. Kaya, A fuzzy multicriteria methodology for selection among energy
alternatives, Expert System with Applications, 37 (2010), 6270-6281.
[22] C. Kahraman, C. Seluk and _I. Kaya, Selection among renewable energy alternatives using
fuzzy axiomatic design: The case of Turkey, Journal of Universal Computer Science, 16
(2010) , 82-102.
[23] C. Kahraman, B. Oztayi, I. U. Sar{ and E. Turanoglu, Fuzzy analytic hierarchy process with
interval type-2 fuzzy sets, Knowledge-Based Systems, 59 (2014), 48-57.
[24] H. Y. Kang, M. C. Hung, W. L. Pearn, A. H. I. Lee and M. S. Kang, An integrated multicriteria
decision making model for evaluating wind farm performance, Energies., 4 (2011),
2002-2026.
[25] N. N. Karnik and J. M. Mendel, Operations on type-2 fuzzy sets, Fuzzy Sets and Systems,
122 (2001), 327{348.
[26] T. Kaya and C. Kahraman, Multicriteria decision making in energy planning using a modi
ed fuzzy TOPSIS methodology, Expert Systems with Applications, 38 (2011), 6577{6585.
[27] G. Koaslan, Turkiye'nin Enerji Kaynaklar{ ve Alternatif Bir Kaynak Olarak Ruzgar Enerjisinin
Degerlendirilmesi. Istanbul University, Institute of Social Sciences, Master's Thesis,
Istanbul (in Turkish), 2006.
[28] A. H. I. Lee, H. H. Chen and H. Y. Kang, A model to analyze strategic products for photovoltaic
silicon thin- lm solar cell power industry, Renewable and Sustainable Energy Reviews,
15 (2011), 1271{1283.
[29] A. H. I. Lee, M. C. Hung, H. Y. Kang and W. L. Pearn, A wind turbine evaluation model
under a multi-criteria decision making environment, Energy Conversion and Management,
64 (2012), 289-300.
[30] G. Lee, K. S. Jun and E. S. Cheng, Robust spatial
ood vulnerability assessment for Han
River using fuzzy TOPSIS with -cut level set, Expert Systems with Applications, 41 (2014),
644{654.
[31] L. W. Lee and S. M. Chen, Fuzzy multiple attributes group decision-making based on the
extension of topsis method and interval type-2 fuzzy sets, Proceedings of the Seventh International
Conference on Machine Learning and Cybernetics, IEEE, Kunming, (2008), 3260-3265.
[32] S. K. Lee, G. Mogi, S. K. Lee and J. W. Kim, Prioritizing the weights of hydrogen energy technologies
in the sector of the hydrogen economy by using a fuzzy AHP approach, International
Journal of Hydrogen Energy, 36 (2011), 1897-1902.
[33] S. K. Lee, G. Mogi, S. K. Lee, K. S. Hui and J. W. Kim , Econometric analysis of the R&D
performance in the national hydrogen energy technology development for measuring relative
eciency: The fuzzy AHP/DEA, International Journal of Hydrogen Energy, 35 (2010), 2236-
2246.
[34] A. Manzardo, J. Ren, A. Mazzi and A. Scipioni, A grey-based group decision-making methodology
for the selection of hydrogen technologies in life cycle sustainability perspective, International
Journal of Hydrogen Energy, 37 (2012), 17663{17670.
[35] J. M., Mendel, Advances in type-2 fuzzy sets and systems, Information Sciences, 177 (2007),
84{110.
[36] J. M. Mendel, Type-2 fuzzy sets: Some questions and answers, IEEE Neural Networks Society,
(2003), 10-13.
[37] J. M. Mendel, R. I.John and F. L. Liu, Interval type-2 fuzzy logical systems made simple,
IEEE Transactions on Fuzzy Systems., 14 (2006), 808{821.
[38] O. O. Mengi and I. H. Altas, A fuzzy decision making energy management system for a
PV/Wind renewable energy system, Innovations in Intelligent Systems and Applications (INISTA),
2011 International Symposium on, Istanbul , 436{440, (2011).
[39] A. Phdungsilp , Integrated energy and carbon modeling with a decision support system: Policy
scenarios for low-carbon city development in Bangkok, Energy Policy, 38 (2010), 4808{4817.
[40] J. Rezaei, R. Ortt and V. Scholten, An improved fuzzy preference programming to evaluate
entrepreneurship orientation, Applied Soft Computing, 13 (2013), 2749{2758.
[41] D. Ruan, J. Lu, E. Laes, G. Zhang, J. Ma and G. Meskens, Multi-criteria group decision
support with linguistic variables in long-term scenarios for belgian energy policy, Journal of
Universal Computer Science, 16 (2010), 103-120.
[42] T. L. Saaty, A scaling method for priorities in hierarchical structures, Journal of Mathematical
Psychology, 15(3) (1977), 234{281.
[43] T. L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, New York, 1980.
[44] A. Sadeghi, T. Larimian and A. Molabashi, Evaluation of renewable energy sources for generating
electricity in province of Yazd: A fuzzy MCDM approach, Procedia - Social and
Behavioral Sciences, 62 (2012), 1095{1099.
[45] A. Satman, Turkiye'nin Enerji Vizyonu, TESKON2007, Izmir, (in Turkish), 2007.
[46] Y. C Shen, G. T. R. Lin, K. P. Li and B. J. C. Yuan, An assessment of exploiting renewable
energy sources with concerns of policy and technology, Energy Plicy., 38 (2010), 4604{4616.
[47] M. Q. Suo, Y. P. Li and G. H. Huang, Multi criteria decision making under uncertainty: An
advanced ordered weighted averaging operator for planning electric power systems, Engineering
Applications of Arti cial Intelligence, 25 (2012), 72-81.
[48] E. Toklu, Overview of potential and utilization of renewable energy sources in ,Turkey Renewable
Energy, 50 (2013), 456-463.
[49] Turkish Republic Ministry of Energy and Natural Resources, http://www.enerji.gov.tr/,
12.02.2013.
[50] UCTEA Chamber of Mechanical Engineers Report, April 2012.
[51] UCTEA Chamber of Electrical Engineers, Electricity Privatization Report, March 2012.
[52] P. J. M. Van Laarhoven and W. Pedrycz, A fuzzy extension of Saaty's priority theory, Fuzzy
Sets and Systems, 11 (1983), 229-241.
[53] L. Wang, L. Xu and H. Song, Environmental performance evaluation of Beijing's energy use
planning, Energy Policy., 39 (2011), 3483-3495.
[54] Y. Yazar, Turkiye'nin Enerjideki Durumu ve Geleceui. SETA, Foundation for Political Economic
and Social Research., www.setav.org, (in Turkish), December (2010).
[55] L. A. Zadeh, Fuzzy set, Information and Control, 8 (1965), 338{353.
[56] L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning
{ 1, Information Science, 8 (1975), 199{249.
[57] T. Zgun , Bulan{k Analitik Hiyerari Prosesi, Yildiz Technical University, Institute of Science,
Master's Thesis, Istanbul (in Turkish), 2006.
)