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AKDENİZ BÖLGESİ’NİN GÜNEŞ ENERJİSİ YATIRIMINA YÖNELİK ÖZELLİKLERİNİN ENTEGRE ENTROPİ MULTİMOORA YÖNTEMİ İLE DEĞERLENDİRİLMESİ

Year 2019, Volume: 6 Issue: 3, 846 - 864, 31.12.2019
https://doi.org/10.30798/makuiibf.600296

Abstract

Dünya üzerinde oldukça geniş bir alana hızlı bir
yayılım gösteren çevre kirliliğine karşı alınabilecek tedbirlerin başında
yenilenebilir enerji kaynaklarının enerji üretimin-deki payını arttırmak gelir.
Yenilenebilir enerji yatırımla-rının değerlendirilmesi ise teknik, ekonomik,
çevresel ve sosyal bir dizi kriterden etkilendiği için karar alması kar-maşık
bir konudur. Yaşam seyri analizi, fayda-maliyet analizi ve çok kriterli karar
verme yöntemleri yatırım pro-jelerinin değerlendirilmesi için yaygın olarak
kullanılan yöntemlerdir. Bu çalışmada, bir kısmı veya tamamı Akdeniz
Bölgesi’nde yer alan şehirlerin güneş enerjisi santrali yatırımına uygunlukları
değerlendirilmiştir. De-ğerlendirme için MULTIMOORA ve Geliştirilmiş MULTIMOORA
yöntemleri kullanılmış, kriter ağırlıkları ise Entropi Yöntemi ile
belirlenmiştir. 13 il için 12 kriter kullanılarak yapılan değerlendirmeler
Kahramanmaraş ili-nin her iki yöntem için de en uygun şehir olduğunu gös-termiştir.
Uygunluk açısından ilk beş içerisinde bulunan iller ise sıralamaları farklı
olsa da her iki yöntem için ay-nıdır. Bu şehirler Kahramanmaraş, Mersin,
Burdur, Gazi-antep ve Osmaniye illeridir. Sonuç olarak, güneş enerji santrali
yatırımı yapacak olan firmaların farklı ve ken-dilerine has kriterler ve
çalışma kapsamında kullanılan yöntemleri ön planlama çalışmalarında proje
seçimi için kullanabileceği değerlendirilmektedir.

References

  • ADALI, E.A., ve IŞIK, A.T. (2017), The multi-objective decision making methods based on MULTIMOORA and MOOSRA for the laptop selection problem. Journal of Industrial Engineering International, 13(2), 229-237.AKCAY, M., ve ATAK, M. (2018), Optimal Site Selection for a Solar Power Plant in Turkey Using a Hybrid AHP-TOPSIS Method, Celal Bayar University Journal of Science, 14(4), 413-420.AKÇAKANAT, Ö., EREN, H., AKSOY, E., ve ÖMÜRBEK, V. (2017), Bankacılık Sektöründe Entropi ve WASPAS Yöntemleri ile Performans Değerlendirmesi, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22(2), 285-300.AKKAS, O.P., ERTEN, M.Y., CAM, E., ve INANC, N. (2017), Optimal site selection for a solar power plant in the Central Anatolian Region of Turkey, International Journal of Photoenergy, 2017, Article ID 7452715, 1-13.ALP, İ., ÖZTEL, A., ve KÖSE, M.S. (2015), Entropi tabanlı MAUT yöntemi ile kurumsal sürdürülebilirlik performansı ölçümü: Bir vaka çalışması. Ekonomik ve Sosyal Araştırmalar Dergisi, 11(2), 65-81.ARAGONÉS-BELTRÁN, P., CHAPARRO-GONZÁLEZ, F., PASTOR-FERRANDO, J.P., ve RODRIGUEZ-POZO, F. (2010), An ANP-based approach for the selection of photovoltaic solar power plant investment projects. Renewable and sustainable energy reviews, 14(1), 249-264.ARAGONÉS-BELTRÁN, P., CHAPARRO-GONZÁLEZ, F., PASTOR-FERRANDO, J.P., ve PLA-RUBIO, A. (2014), An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy, 66, 222-238.AYDIN, N.Y., KENTEL, E., ve DUZGUN, H. S. (2013), GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey. Energy Conversion and Management, 70, 90-106.BALEŽENTIS, A., BALEŽENTIS, T., ve BRAUERS, W.K. (2012), Personnel selection based on computing with words and fuzzy MULTIMOORA, Expert Systems with applications, 39(9), 7961-7967.BALEŽENTIS, A., BALEŽENTIS, T., ve VALKAUSKAS, R. (2010), Evaluating situation of Lithuania in the European Union: Structural indicators and MULTIMOORA method, Technological and Economic Development of Economy, 16(4), 578-602.BALEŽENTIS, T., ve ZENG, S. (2013), Group multi-criteria decision making based upon interval-valued fuzzy numbers: an extension of the MULTIMOORA method, Expert Systems with Applications, 40(2), 543-550.BLIEN, U., ve TASSINOPOULOS, A. (2001), Forecasting regional employment with the ENTROP method, Regional Studies, 35(2), 113-124.BRAUERS, W. K., ve ZAVADSKAS, E.K. (2006), The MOORA method and its application to privatization in a transition economy, Control and Cybernetics, 35(2), 445-469.BRAUERS, W.K.M, ve ZAVADSKAS, E.K. (2009), Robustness of the multi‐objective MOORA method with a test for the facilities sector. Technological and economic development of economy, 15(2), 352-37.BRAUERS, W.K.M., ve ZAVADSKAS, E.K. (2010), Project management by MULTIMOORA as an instrument for transition economies, Technological and Economic Development of Economy, 16(1), 5-24BRAUERS, W.K.M., ve ZAVADSKAS, E.K. (2012), Robustness of MULTIMOORA: a method for multi-objective optimization. Informatica, 23(1), 1-25.BUYUKOZKAN, G., ve GULERYUZ, S. (2016), An Integrated DEMATEL-ANP Approach for Renewable Energy Resources Selection in Turkey, International Journal of Production Economics, 182, 435-448.ÇAKIR, S., ve PERÇİN, S. (2013), AB Ülkeleri’nde Bütünleşik Entropi Ağırlık-Topsis Yöntemiyle Ar-Ge Performansının Ölçülmesi, Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 32(1), 77-95.ENERDATA (2019), Global Energy Statistical Yearbook, 02 Haziran 2019 tarihinde https://yearbook.enerdata.net/total-energy/world-consumption-statistics.html adresinden alındı.ERTAY, T., KAHRAMAN, C., ve KAYA, I. (2013), Evaluation of renewable energy alternatives using MACBETH and fuzzy AHP multicriteria methods: the case of Turkey. Technological and Economic Development of Economy, 19(1), 38-62.ERVURAL, B.Ç., ZAIM, S., DEMIREL, O.F., AYDIN, Z., ve DELEN, D. (2018a), An ANP and fuzzy TOPSIS-based SWOT analysis for Turkey’s energy planning, Renewable and Sustainable Energy Reviews, 82, 1538-1550.ERVURAL, B.C., EVREN, R., ve DELEN, D. (2018b), A multi-objective decision-making approach for sustainable energy investment planning. Renewable energy, 126, 387-402.EVANS, A., STREZOV, V., ve EVANS, T.J. (2009). Assessment of sustainability indicators for renewable energy technologies. Renewable and sustainable energy reviews, 13(5), 1082-1088.FATTAHI, R., ve KHALILZADEH, M. (2018), Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment. Safety science, 102, 290-300.GARCIA ALCARÁZ J.L., GONZÁLEZ J.R., ve VALDIVIESO I.C. (2010), Selección de proveedores usando el método MOORA. Cultura Científica y Tecnológica, 7(40–41), 94– 105.HAFEZALKOTOB, A., HAFEZALKOTOB, A., LIAO, H., ve HERRERA, F. (2019), An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges, Information Fusion, 51, 145-177.HAFEZALKOTOB, A., ve HAFEZALKOTOB, A. (2016), Extended MULTIMOORA method based on Shannon entropy weight for materials selection, Journal of Industrial Engineering International, 12(1), 1-13.HAMAL, S., SENVAR, O., ve VAYVAY, O. (2018), Selection of Optimal Renewable Energy Investment Project Via Fuzzy ANP, Journal of Economics Finance and Accounting, 5(2), 224-233.HEO, E., KIM, J., ve BOO, K.J. (2010), Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP, Renewable and Sustainable Energy Reviews, 14(8), 2214-2220.ISLAM, M.R. ve KHAN, M.M. (2019), The Science of Climate Change, New Jersey, John Wiley & Sons, Inc.KARABASEVIC, D., STANUJKIC, D., UROSEVIC, S., ve MAKSIMOVIC, M. (2015). Selection of candidates in the mining industry based on the application of the SWARA and the MULTIMOORA methods, Acta Montanistica Slovaca, 20(2), 116-124.KARAGUL, K., SAHIN, Y., AYDEMIR, E., ve ORAL, A. (2019), A simulated annealing algorithm based solution method for a green vehicle routing problem with fuel consumption. In Lean and green supply chain management (s. 161-187). Cham: Springer.KARAMI, A., ve JOHANSSON, R., (2014), Utilization of Multi Attribute Decision Making Techniques to Integrate Automatic and Manual Ranking of Options, Journal of Information Science and Engineering, 30, 519-534.KARANDE, P., ve CHAKRABORTY, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, 317-324.KAYA, T., ve KAHRAMAN, C. (2011), Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology, Expert Systems with Applications, 38(6), 6577-6585.KILDIENE, S. (2013), Assessment of opportunities for construction enterprises in European Union member states using the MULTIMOORA method, Procedia Engineering, 57, 557-564.KRACKA, M., BRAUERS, W. K. M., ve ZAVADSKAS, E. K. (2010), Ranking heating losses in a building by applying the MULTIMOORA, Engineering economics.-Kaunas, 21(4), 352-359.KUMAR, A., SAH, B., SİNGH, A.R., DENG, Y., HE, X., KUMAR, P., ve BANSAL, R.C. (2017), A review of multi criteria decision making (MCDM) towards sustainable renewable energy development, Renewable and Sustainable Energy Reviews, 69, 596-609.LI, Z.H. (2014), An extension of the MULTIMOORA method for multiple criteria group decision making based upon hesitant fuzzy sets, Journal of Applied Mathematics, 2014, 1-16. LIU, G. (2014), Development of a general sustainability indicator for renewable energy systems: a review, Renewable and sustainable energy reviews, 31, 611-621.NIJKAMP, P.,ve VAN DELFT, A. (1977). Multi-criteria analysis and regional decision-making, Netherlands: Springer Science & Business Media.ORAKÇI, E., ve ÖZDEMİR, A. (2017), Telafi edici çok kriterli karar verme yöntemleri ile Türkiye ve AB ülkelerinin insani gelişmişlik düzeylerinin belirlenmesi, Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 19(1), 61-74.ÖMÜRBEK, N., EREN, H., ve DAĞ, O. (2017), Entropi-Aras ve Entropi-MOOSRA Yöntemleri ile Yaşam Kalitesi Açısından AB Ülkelerinin Değerlendirilmesi. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(2), 29-48.ÖMÜRBEK, N., KARAATLI, M., ve BALCI, H.F. (2016), Entropi temelli MAUT ve SAW yöntemleri ile otomotiv firmalarının performans değerlemesi, Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 31(1), 227-255.ÖNAY, O., ve ÇETİN, E. (2012), Turistik yerlerin popülaritesinin belirlenmesi: İstanbul örneği. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi, 23(72), 90-109.ÖZDEMİR, B., ÖZCAN, B., ve ALADAĞ, Z. (2017), Güneş enerjisi santrali kuruluş yerinin AHS ve VIKOR yöntemlerine dayalı bütünleşik yaklaşım ile değerlendirilmesi, Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 33(2), 16-34.ÖZTÜRK, B., ve SERKENDİZ, H. (2018). Location Selection for Wind Turbines in Balikesir, NW Turkey, Using GIS, International Journal of Environment and Geoinformatics, 5(3), 284-295.POHEKAR, S.D., ve RAMACHANDRAN, M. (2004), Application of multi-criteria decision making to sustainable energy planning—a review, Renewable and sustainable energy reviews, 8(4), 365-381.ROJANAMON, P., CHAISOMPHOB, T., ve BUREEKUL, T. (2009), Application of geographical information system to site selection of small run-of-river hydropower project by considering engineering/economic/environmental criteria and social impact, Renewable and Sustainable Energy Reviews, 13(9), 2336-2348.SAN CRISTÓBAL, J.R. (2011), Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method, Renewable energy, 36(2), 498-502.SAN CRISTÓBAL, J.R. (2012), A goal programming model for the optimal mix and location of renewable energy plants in the north of Spain, Renewable and Sustainable Energy Reviews, 16(7), 4461-4464.SHANNON, C.E. (1948), A mathematical theory of communication, Bell System Technical Journal, 27(3), 623-656.SHEMSHADI, A., SHIRAZI, H., TOREIHI, M., ve TAROKH, M. J. (2011), A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting, Expert Systems with Applications, 38(10), 12160-12167.STRANTZALI, E., ve ARAVOSSIS, K. (2016), Decision making in renewable energy investments: A review, Renewable and Sustainable Energy Reviews, 55, 885-898.STREIMIKIENE, D., BALEZENTIS, T., KRISCIUKAITIENĖ, I., & BALEZENTIS, A. (2012), Prioritizing sustainable electricity production technologies: MCDM approach. Renewable and Sustainable Energy Reviews, 16(5), 3302-3311.ŞENGÜL, Ü., EREN, M., SHIRAZ, S. E., GEZDER, V., ve ŞENGÜL, A.B. (2015), Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey, Renewable Energy, 75, 617-625.TOKLU, M.C., ve UYGUN, Ö. (2018), Location Selection for Wind Plant using AHP and Axiomatic Design in Fuzzy Environment, Periodicals of Engineering and Natural Sciences, 6(2), 120-128.TUNCA, M. Z., ÖMÜRBEK, N., CÖMERT, H. G., ve AKSOY, E. (2016), OPEC Ülkelerinin Performanslarının Çok Kriterli Karar Verme Yöntemlerinden Entropi ve MAUT ile Değerlendirilmesi, Süleyman Demirel Üniversitesi Vizyoner Dergisi, 7(14), 1-12.UYSAL, F. (2011), Türkiye'de Yenilenebilir Enerji Alternatiflerinin Seçimi için Graf Teori ve Matris Yaklaşım. Ekonometri ve İstatistik e-Dergisi, (13), 23-40.VAFAEIPOUR, M., ZOLFANI, S.H., VARZANDEH, M.H.M., DERAKHTI, A., ve ESHKALAG, M.K. (2014), Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach, Energy Conversion and Management, 86, 653-663.WU, J., SUN, J., LIANG, L. ve ZHA, Y. (2011), Determination of weights for ultimate cross efficiency using Shannon ENTROPY, Expert Systems with Applications, 38(5), 5162-5165.YAVUZ, V. (2016), Coğrafi Pazar Seçiminde PROMETHEE ve Entropi Yöntemlerine Dayalı Çok Kriterli Bir Analiz: Mobilya Sektöründe Bir Uygulama, Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(2), 163-177.ZAVADSKAS, E.K., ANTUCHEVICIENE, J., HAJIAGHA, R., HOSSEIN, S., ve HASHEMI, S.S. (2015), The interval-valued intuitionistic fuzzy MULTIMOORA method for group decision making in engineering. Mathematical Problems in Engineering, 2015, 1-13.ZHANG, H., GU, C.L., GU, L.W., ve ZHANG, Y. (2011), The Evaluation of Tourism Destination Competitiveness by TOPSIS & Information ENTROPY - A Case in the Yangtze River Delta of China, Tourism Management, 32(2), 443-451.

EVALUATING THE PROPERTIES OF MEDITERRANEAN REGION OF TURKEY FOR SOLAR POWER INVESTMENT WITH INTEGRATED ENTROPY MULTIMOORA METHOD

Year 2019, Volume: 6 Issue: 3, 846 - 864, 31.12.2019
https://doi.org/10.30798/makuiibf.600296

Abstract

Increasing the share of renewable energy sources
in energy production is one of the most important measures that can be taken
against environmental pollution which is spreading rapidly to a wide area in
the world. The evaluation of renewable energy investments is a complex issue
since it is influenced by a range of technical, economic, environmental and
social criteria. Life cycle analysis, cost-benefit analysis, and multicriteria
decision-making methods are widely used for the evaluation of investment projects.
In this study, the suitability of cities in the Mediterranean region of Turkey
for investment in solar power plants was evaluated. MULTIMOORA and Extended
MULTIMOORA methods were used for evaluation and criteria weights were
determined by Entropy Method. Evaluations made by using 12 criteria for 13
provinces showed that Kahramanmaras is the most suitable city for both methods.
In terms of eligibility, the provinces in the top five are the same for both
methods, although their rankings are different. These cities are Kahramanmaras,
Mersin, Burdur, Gaziantep, and Os-maniye. As a result, it is considered that
the companies that will invest in solar power plants can use different and
unique criteria and methods used in the scope of the study for project selection
in the preliminary planning studies.

References

  • ADALI, E.A., ve IŞIK, A.T. (2017), The multi-objective decision making methods based on MULTIMOORA and MOOSRA for the laptop selection problem. Journal of Industrial Engineering International, 13(2), 229-237.AKCAY, M., ve ATAK, M. (2018), Optimal Site Selection for a Solar Power Plant in Turkey Using a Hybrid AHP-TOPSIS Method, Celal Bayar University Journal of Science, 14(4), 413-420.AKÇAKANAT, Ö., EREN, H., AKSOY, E., ve ÖMÜRBEK, V. (2017), Bankacılık Sektöründe Entropi ve WASPAS Yöntemleri ile Performans Değerlendirmesi, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22(2), 285-300.AKKAS, O.P., ERTEN, M.Y., CAM, E., ve INANC, N. (2017), Optimal site selection for a solar power plant in the Central Anatolian Region of Turkey, International Journal of Photoenergy, 2017, Article ID 7452715, 1-13.ALP, İ., ÖZTEL, A., ve KÖSE, M.S. (2015), Entropi tabanlı MAUT yöntemi ile kurumsal sürdürülebilirlik performansı ölçümü: Bir vaka çalışması. Ekonomik ve Sosyal Araştırmalar Dergisi, 11(2), 65-81.ARAGONÉS-BELTRÁN, P., CHAPARRO-GONZÁLEZ, F., PASTOR-FERRANDO, J.P., ve RODRIGUEZ-POZO, F. (2010), An ANP-based approach for the selection of photovoltaic solar power plant investment projects. Renewable and sustainable energy reviews, 14(1), 249-264.ARAGONÉS-BELTRÁN, P., CHAPARRO-GONZÁLEZ, F., PASTOR-FERRANDO, J.P., ve PLA-RUBIO, A. (2014), An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy, 66, 222-238.AYDIN, N.Y., KENTEL, E., ve DUZGUN, H. S. (2013), GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey. Energy Conversion and Management, 70, 90-106.BALEŽENTIS, A., BALEŽENTIS, T., ve BRAUERS, W.K. (2012), Personnel selection based on computing with words and fuzzy MULTIMOORA, Expert Systems with applications, 39(9), 7961-7967.BALEŽENTIS, A., BALEŽENTIS, T., ve VALKAUSKAS, R. (2010), Evaluating situation of Lithuania in the European Union: Structural indicators and MULTIMOORA method, Technological and Economic Development of Economy, 16(4), 578-602.BALEŽENTIS, T., ve ZENG, S. (2013), Group multi-criteria decision making based upon interval-valued fuzzy numbers: an extension of the MULTIMOORA method, Expert Systems with Applications, 40(2), 543-550.BLIEN, U., ve TASSINOPOULOS, A. (2001), Forecasting regional employment with the ENTROP method, Regional Studies, 35(2), 113-124.BRAUERS, W. K., ve ZAVADSKAS, E.K. (2006), The MOORA method and its application to privatization in a transition economy, Control and Cybernetics, 35(2), 445-469.BRAUERS, W.K.M, ve ZAVADSKAS, E.K. (2009), Robustness of the multi‐objective MOORA method with a test for the facilities sector. Technological and economic development of economy, 15(2), 352-37.BRAUERS, W.K.M., ve ZAVADSKAS, E.K. (2010), Project management by MULTIMOORA as an instrument for transition economies, Technological and Economic Development of Economy, 16(1), 5-24BRAUERS, W.K.M., ve ZAVADSKAS, E.K. (2012), Robustness of MULTIMOORA: a method for multi-objective optimization. Informatica, 23(1), 1-25.BUYUKOZKAN, G., ve GULERYUZ, S. (2016), An Integrated DEMATEL-ANP Approach for Renewable Energy Resources Selection in Turkey, International Journal of Production Economics, 182, 435-448.ÇAKIR, S., ve PERÇİN, S. (2013), AB Ülkeleri’nde Bütünleşik Entropi Ağırlık-Topsis Yöntemiyle Ar-Ge Performansının Ölçülmesi, Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 32(1), 77-95.ENERDATA (2019), Global Energy Statistical Yearbook, 02 Haziran 2019 tarihinde https://yearbook.enerdata.net/total-energy/world-consumption-statistics.html adresinden alındı.ERTAY, T., KAHRAMAN, C., ve KAYA, I. (2013), Evaluation of renewable energy alternatives using MACBETH and fuzzy AHP multicriteria methods: the case of Turkey. Technological and Economic Development of Economy, 19(1), 38-62.ERVURAL, B.Ç., ZAIM, S., DEMIREL, O.F., AYDIN, Z., ve DELEN, D. (2018a), An ANP and fuzzy TOPSIS-based SWOT analysis for Turkey’s energy planning, Renewable and Sustainable Energy Reviews, 82, 1538-1550.ERVURAL, B.C., EVREN, R., ve DELEN, D. (2018b), A multi-objective decision-making approach for sustainable energy investment planning. Renewable energy, 126, 387-402.EVANS, A., STREZOV, V., ve EVANS, T.J. (2009). Assessment of sustainability indicators for renewable energy technologies. Renewable and sustainable energy reviews, 13(5), 1082-1088.FATTAHI, R., ve KHALILZADEH, M. (2018), Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment. Safety science, 102, 290-300.GARCIA ALCARÁZ J.L., GONZÁLEZ J.R., ve VALDIVIESO I.C. (2010), Selección de proveedores usando el método MOORA. Cultura Científica y Tecnológica, 7(40–41), 94– 105.HAFEZALKOTOB, A., HAFEZALKOTOB, A., LIAO, H., ve HERRERA, F. (2019), An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges, Information Fusion, 51, 145-177.HAFEZALKOTOB, A., ve HAFEZALKOTOB, A. (2016), Extended MULTIMOORA method based on Shannon entropy weight for materials selection, Journal of Industrial Engineering International, 12(1), 1-13.HAMAL, S., SENVAR, O., ve VAYVAY, O. (2018), Selection of Optimal Renewable Energy Investment Project Via Fuzzy ANP, Journal of Economics Finance and Accounting, 5(2), 224-233.HEO, E., KIM, J., ve BOO, K.J. (2010), Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP, Renewable and Sustainable Energy Reviews, 14(8), 2214-2220.ISLAM, M.R. ve KHAN, M.M. (2019), The Science of Climate Change, New Jersey, John Wiley & Sons, Inc.KARABASEVIC, D., STANUJKIC, D., UROSEVIC, S., ve MAKSIMOVIC, M. (2015). Selection of candidates in the mining industry based on the application of the SWARA and the MULTIMOORA methods, Acta Montanistica Slovaca, 20(2), 116-124.KARAGUL, K., SAHIN, Y., AYDEMIR, E., ve ORAL, A. (2019), A simulated annealing algorithm based solution method for a green vehicle routing problem with fuel consumption. In Lean and green supply chain management (s. 161-187). Cham: Springer.KARAMI, A., ve JOHANSSON, R., (2014), Utilization of Multi Attribute Decision Making Techniques to Integrate Automatic and Manual Ranking of Options, Journal of Information Science and Engineering, 30, 519-534.KARANDE, P., ve CHAKRABORTY, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, 317-324.KAYA, T., ve KAHRAMAN, C. (2011), Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology, Expert Systems with Applications, 38(6), 6577-6585.KILDIENE, S. (2013), Assessment of opportunities for construction enterprises in European Union member states using the MULTIMOORA method, Procedia Engineering, 57, 557-564.KRACKA, M., BRAUERS, W. K. M., ve ZAVADSKAS, E. K. (2010), Ranking heating losses in a building by applying the MULTIMOORA, Engineering economics.-Kaunas, 21(4), 352-359.KUMAR, A., SAH, B., SİNGH, A.R., DENG, Y., HE, X., KUMAR, P., ve BANSAL, R.C. (2017), A review of multi criteria decision making (MCDM) towards sustainable renewable energy development, Renewable and Sustainable Energy Reviews, 69, 596-609.LI, Z.H. (2014), An extension of the MULTIMOORA method for multiple criteria group decision making based upon hesitant fuzzy sets, Journal of Applied Mathematics, 2014, 1-16. LIU, G. (2014), Development of a general sustainability indicator for renewable energy systems: a review, Renewable and sustainable energy reviews, 31, 611-621.NIJKAMP, P.,ve VAN DELFT, A. (1977). Multi-criteria analysis and regional decision-making, Netherlands: Springer Science & Business Media.ORAKÇI, E., ve ÖZDEMİR, A. (2017), Telafi edici çok kriterli karar verme yöntemleri ile Türkiye ve AB ülkelerinin insani gelişmişlik düzeylerinin belirlenmesi, Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 19(1), 61-74.ÖMÜRBEK, N., EREN, H., ve DAĞ, O. (2017), Entropi-Aras ve Entropi-MOOSRA Yöntemleri ile Yaşam Kalitesi Açısından AB Ülkelerinin Değerlendirilmesi. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(2), 29-48.ÖMÜRBEK, N., KARAATLI, M., ve BALCI, H.F. (2016), Entropi temelli MAUT ve SAW yöntemleri ile otomotiv firmalarının performans değerlemesi, Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 31(1), 227-255.ÖNAY, O., ve ÇETİN, E. (2012), Turistik yerlerin popülaritesinin belirlenmesi: İstanbul örneği. İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi, 23(72), 90-109.ÖZDEMİR, B., ÖZCAN, B., ve ALADAĞ, Z. (2017), Güneş enerjisi santrali kuruluş yerinin AHS ve VIKOR yöntemlerine dayalı bütünleşik yaklaşım ile değerlendirilmesi, Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 33(2), 16-34.ÖZTÜRK, B., ve SERKENDİZ, H. (2018). Location Selection for Wind Turbines in Balikesir, NW Turkey, Using GIS, International Journal of Environment and Geoinformatics, 5(3), 284-295.POHEKAR, S.D., ve RAMACHANDRAN, M. (2004), Application of multi-criteria decision making to sustainable energy planning—a review, Renewable and sustainable energy reviews, 8(4), 365-381.ROJANAMON, P., CHAISOMPHOB, T., ve BUREEKUL, T. (2009), Application of geographical information system to site selection of small run-of-river hydropower project by considering engineering/economic/environmental criteria and social impact, Renewable and Sustainable Energy Reviews, 13(9), 2336-2348.SAN CRISTÓBAL, J.R. (2011), Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method, Renewable energy, 36(2), 498-502.SAN CRISTÓBAL, J.R. (2012), A goal programming model for the optimal mix and location of renewable energy plants in the north of Spain, Renewable and Sustainable Energy Reviews, 16(7), 4461-4464.SHANNON, C.E. (1948), A mathematical theory of communication, Bell System Technical Journal, 27(3), 623-656.SHEMSHADI, A., SHIRAZI, H., TOREIHI, M., ve TAROKH, M. J. (2011), A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting, Expert Systems with Applications, 38(10), 12160-12167.STRANTZALI, E., ve ARAVOSSIS, K. (2016), Decision making in renewable energy investments: A review, Renewable and Sustainable Energy Reviews, 55, 885-898.STREIMIKIENE, D., BALEZENTIS, T., KRISCIUKAITIENĖ, I., & BALEZENTIS, A. (2012), Prioritizing sustainable electricity production technologies: MCDM approach. Renewable and Sustainable Energy Reviews, 16(5), 3302-3311.ŞENGÜL, Ü., EREN, M., SHIRAZ, S. E., GEZDER, V., ve ŞENGÜL, A.B. (2015), Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey, Renewable Energy, 75, 617-625.TOKLU, M.C., ve UYGUN, Ö. (2018), Location Selection for Wind Plant using AHP and Axiomatic Design in Fuzzy Environment, Periodicals of Engineering and Natural Sciences, 6(2), 120-128.TUNCA, M. Z., ÖMÜRBEK, N., CÖMERT, H. G., ve AKSOY, E. (2016), OPEC Ülkelerinin Performanslarının Çok Kriterli Karar Verme Yöntemlerinden Entropi ve MAUT ile Değerlendirilmesi, Süleyman Demirel Üniversitesi Vizyoner Dergisi, 7(14), 1-12.UYSAL, F. (2011), Türkiye'de Yenilenebilir Enerji Alternatiflerinin Seçimi için Graf Teori ve Matris Yaklaşım. Ekonometri ve İstatistik e-Dergisi, (13), 23-40.VAFAEIPOUR, M., ZOLFANI, S.H., VARZANDEH, M.H.M., DERAKHTI, A., ve ESHKALAG, M.K. (2014), Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach, Energy Conversion and Management, 86, 653-663.WU, J., SUN, J., LIANG, L. ve ZHA, Y. (2011), Determination of weights for ultimate cross efficiency using Shannon ENTROPY, Expert Systems with Applications, 38(5), 5162-5165.YAVUZ, V. (2016), Coğrafi Pazar Seçiminde PROMETHEE ve Entropi Yöntemlerine Dayalı Çok Kriterli Bir Analiz: Mobilya Sektöründe Bir Uygulama, Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(2), 163-177.ZAVADSKAS, E.K., ANTUCHEVICIENE, J., HAJIAGHA, R., HOSSEIN, S., ve HASHEMI, S.S. (2015), The interval-valued intuitionistic fuzzy MULTIMOORA method for group decision making in engineering. Mathematical Problems in Engineering, 2015, 1-13.ZHANG, H., GU, C.L., GU, L.W., ve ZHANG, Y. (2011), The Evaluation of Tourism Destination Competitiveness by TOPSIS & Information ENTROPY - A Case in the Yangtze River Delta of China, Tourism Management, 32(2), 443-451.
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Primary Language Turkish
Journal Section Research Articles
Authors

Yusuf Şahin 0000-0002-3862-6485

Publication Date December 31, 2019
Submission Date August 1, 2019
Published in Issue Year 2019 Volume: 6 Issue: 3

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APA Şahin, Y. (2019). AKDENİZ BÖLGESİ’NİN GÜNEŞ ENERJİSİ YATIRIMINA YÖNELİK ÖZELLİKLERİNİN ENTEGRE ENTROPİ MULTİMOORA YÖNTEMİ İLE DEĞERLENDİRİLMESİ. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 6(3), 846-864. https://doi.org/10.30798/makuiibf.600296

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