Araştırma Makalesi
Yıl 2021,
, 275 - 282, 15.09.2021
Öz
Kaynakça
- Akçakanak, Ö., Eren, H., Aksoy, E. & 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.
- Ali, J., Bashir, Z., Rashid, T. (2021). WASPAS-based decision making methodology with unknown weight Information under uncertain evaluations. Expert Systems with Applications, 168, 1-18. DOI:10.1016/j.eswa.2020.114143
- Bayram, B. Ç. (2020). Evaluation of forest products trade economic contribution by Entropy-TOPSIS: Case study of Turkey. BioResources. 15(1), 1419-1429. DOI:10.15376/biores.15.1.1419-1429
- Chakraborty, S., Zavadskas, E. K. & Antucheviciene, J. (2015). Applications of WASPAS method as a multi-criteria decision-making tool. Economic Computation and Economic Cybernetics Studies and Research, 49(1), 5-22, 2015.
- Çelik, P. (2020). Entropi tabanlı WASPAS yöntemi ile lojistik performansın değerlendirilmesi: OECD ülkeleri örneği. Lojistik Dergisi, 51, 28-38.
- FAO, (2020). The state of world fisheries and aquaculture - sustainability in action. Rome. 224 pp. Retrieved on December 4, 2020 from http://www.fao.org/3/ca9229en/ca9229en.pdf
- Gezen, A. (2019), Türkiye’de faaliyet gösteren katılım bankalarının entropi ve WASPAS yöntemleri ile performans analizi. Muhasebe ve Finansman Dergisi, 84, 213-232. DOI:10.25095/mufad.625812
- Ghorbani, M., Bahrami, M. & Arabzad, S. M. (2012). An integrated model for supplier selection and order allocation; using Shannon Entropy, SWOT and Linear Programming. Procedia. Social and Behavioral Sciences, 41, 521 – 527. DOI:10.1016/j.sbspro.2012.04.064
- Hixson, S.M. (2014). Fish nutrition and current issues in aquaculture: the balance in providing safe and nutritious seafood, in an environmentally sustainable manner. Journal of Aquaculture Research and Development, 5(3), 1-10. DOI:10.4172/2155-9546.1000234
- Li, X., Wang, K., Liu, L., Xin, J., Yang & H., Gao, C. (2011). Application of the Entropy weight and TOPSIS method in safety evaluation of coal mines. Procedia Engineering, 26, 2085-2091. DOI:10.1016/j.proeng.2011.11.2410
- OECD Library (2020), OECD Agriculture Statistics, Retrieved on December 8, 2020 from https://www.oecd-ilibrary.org/agriculture-and-food/data/oecd-agriculture-statistics_agr-data-en
- Santos, B. M., Godoy, L. P. & Campos, L. M. S. (2019). Performance evaluation of green suppliers using Entropy-TOPSIS-F. Journal of Cleaner Production, 207, 498-509. DOI:10.1016/j.jclepro.2018.09.235
- Sengupta, R. N., Gupta, A. & Dutta, J. (2017). Decision Science: Theory and Practice. UK: CRC Press Taylor & Francis Group. DOI: 10.1201/9781315183176
- Shemsadi, A., Shirazi, H., Toreihi, M. & Tarokh, M. J. (2011). A fuzzy VIKOR method for supplier selection based on Entropy measure for objective weighting. Expert Systems with Applications, 38, 12160-12167. DOI:10.1016/j.eswa.2011.03.027
- STASTISTA (2020), Fisheries and Aquaculture Statistics. Retrieved on December 8, 2020 from https://www.statista.com
- TAGEM (2019), General Directorate of Agricultural Research and Policy. https://www.tarimorman.gov.tr/TAGEM/Belgeler/yayin/Su%20Ürünleri%20Sektör%20Politika%20Belgesi%202019-2023.pdf
- TUIK, (2020), Fisheries and Aquaculture Statistics. Retrieved on December 2, 2020 from http://www.tuik.gov.tr
- Ural, M., Demireli, E. & Özçalık, S. G. (2018). Kamu bankalarında performans analizi: Entropi ve WASPAS yöntemleri ile bir uygulama. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 31, 129-141. DOI:10.30794/pausbed.414721
- Wu, H.-Y. & Lin, H.-Y. (2012). A hybrid approach to an analytical model for enhancing the service quality of e-learning. Computers&Education. 58, 1318-1338. DOI:10.1016/j.compedu.2011.12.025
- Zavadskas, E. K., Turskis, Z. & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying additive ratio assessment (ARAS) method. Achieves of Civil and Mechanical Engineering. 10 (3), 123-141. DOI:10.1016/S1644-9665(12)60141-1
Contribution of fishery and aquaculture products to Turkish foreign trade: An evaluation by a hybrid multi-criteria decision making method
Öz
Fisheries and aquaculture industry, which provides a continuous and high-return market advantage to potential countries, is also one of the priority industries for Turkey. Although Turkey has important advantages with its geographic position and bio-diversity, the industry's contribution to foreign trade is not at an acceptable level. Accordingly, it is important to evaluate the capture fishery and aquaculture products, which provide the best contribution to the foreign trade of Turkey. Thus, the present paper aims to provide foreign trade executives with an intuition about the most appropriate products to invest in and contributing products to Turkish foreign trade within the scope of market strategies. Entropy-WASPAS, which is a hybrid multi-criteria decision-making method, is used for evaluating the contribution of fishery and aquaculture products to Turkish foreign trade. This model includes both criteria (production, import quantity, import value, export quantity, export value) and alternatives (Trout, Sea Bream, Sea Bass, Sprat, Atlantic Bonito, Anchovy, Horse Mackerel, Pilchard, Sea Snail, Prawn, Cuttle Fish, Mussel). Entropy is used to determine the criteria weights, and WASPAS is applied for ranking the fishery and aquaculture products. According to the results, export value is the most important criteria while Sea Bream is found as the most significant product for Turkey’s foreign trade.
Anahtar Kelimeler
Kaynakça
- Akçakanak, Ö., Eren, H., Aksoy, E. & 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.
- Ali, J., Bashir, Z., Rashid, T. (2021). WASPAS-based decision making methodology with unknown weight Information under uncertain evaluations. Expert Systems with Applications, 168, 1-18. DOI:10.1016/j.eswa.2020.114143
- Bayram, B. Ç. (2020). Evaluation of forest products trade economic contribution by Entropy-TOPSIS: Case study of Turkey. BioResources. 15(1), 1419-1429. DOI:10.15376/biores.15.1.1419-1429
- Chakraborty, S., Zavadskas, E. K. & Antucheviciene, J. (2015). Applications of WASPAS method as a multi-criteria decision-making tool. Economic Computation and Economic Cybernetics Studies and Research, 49(1), 5-22, 2015.
- Çelik, P. (2020). Entropi tabanlı WASPAS yöntemi ile lojistik performansın değerlendirilmesi: OECD ülkeleri örneği. Lojistik Dergisi, 51, 28-38.
- FAO, (2020). The state of world fisheries and aquaculture - sustainability in action. Rome. 224 pp. Retrieved on December 4, 2020 from http://www.fao.org/3/ca9229en/ca9229en.pdf
- Gezen, A. (2019), Türkiye’de faaliyet gösteren katılım bankalarının entropi ve WASPAS yöntemleri ile performans analizi. Muhasebe ve Finansman Dergisi, 84, 213-232. DOI:10.25095/mufad.625812
- Ghorbani, M., Bahrami, M. & Arabzad, S. M. (2012). An integrated model for supplier selection and order allocation; using Shannon Entropy, SWOT and Linear Programming. Procedia. Social and Behavioral Sciences, 41, 521 – 527. DOI:10.1016/j.sbspro.2012.04.064
- Hixson, S.M. (2014). Fish nutrition and current issues in aquaculture: the balance in providing safe and nutritious seafood, in an environmentally sustainable manner. Journal of Aquaculture Research and Development, 5(3), 1-10. DOI:10.4172/2155-9546.1000234
- Li, X., Wang, K., Liu, L., Xin, J., Yang & H., Gao, C. (2011). Application of the Entropy weight and TOPSIS method in safety evaluation of coal mines. Procedia Engineering, 26, 2085-2091. DOI:10.1016/j.proeng.2011.11.2410
- OECD Library (2020), OECD Agriculture Statistics, Retrieved on December 8, 2020 from https://www.oecd-ilibrary.org/agriculture-and-food/data/oecd-agriculture-statistics_agr-data-en
- Santos, B. M., Godoy, L. P. & Campos, L. M. S. (2019). Performance evaluation of green suppliers using Entropy-TOPSIS-F. Journal of Cleaner Production, 207, 498-509. DOI:10.1016/j.jclepro.2018.09.235
- Sengupta, R. N., Gupta, A. & Dutta, J. (2017). Decision Science: Theory and Practice. UK: CRC Press Taylor & Francis Group. DOI: 10.1201/9781315183176
- Shemsadi, A., Shirazi, H., Toreihi, M. & Tarokh, M. J. (2011). A fuzzy VIKOR method for supplier selection based on Entropy measure for objective weighting. Expert Systems with Applications, 38, 12160-12167. DOI:10.1016/j.eswa.2011.03.027
- STASTISTA (2020), Fisheries and Aquaculture Statistics. Retrieved on December 8, 2020 from https://www.statista.com
- TAGEM (2019), General Directorate of Agricultural Research and Policy. https://www.tarimorman.gov.tr/TAGEM/Belgeler/yayin/Su%20Ürünleri%20Sektör%20Politika%20Belgesi%202019-2023.pdf
- TUIK, (2020), Fisheries and Aquaculture Statistics. Retrieved on December 2, 2020 from http://www.tuik.gov.tr
- Ural, M., Demireli, E. & Özçalık, S. G. (2018). Kamu bankalarında performans analizi: Entropi ve WASPAS yöntemleri ile bir uygulama. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 31, 129-141. DOI:10.30794/pausbed.414721
- Wu, H.-Y. & Lin, H.-Y. (2012). A hybrid approach to an analytical model for enhancing the service quality of e-learning. Computers&Education. 58, 1318-1338. DOI:10.1016/j.compedu.2011.12.025
- Zavadskas, E. K., Turskis, Z. & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying additive ratio assessment (ARAS) method. Achieves of Civil and Mechanical Engineering. 10 (3), 123-141. DOI:10.1016/S1644-9665(12)60141-1
Toplam 20 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Balıkçılık Yönetimi |
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 15 Eylül 2021 |
| Gönderilme Tarihi | 26 Aralık 2020 |
| Yayımlandığı Sayı | Yıl 2021 |