{"id":6415,"date":"2025-10-21T16:43:10","date_gmt":"2025-10-21T13:43:10","guid":{"rendered":"https:\/\/www.berjournal.com\/?p=6415"},"modified":"2025-10-22T18:03:50","modified_gmt":"2025-10-22T15:03:50","slug":"cryptocurrency-price-prediction-using-machine-learning-methods-and-determining-the-best-method-using-mcdm-techniques","status":"publish","type":"post","link":"https:\/\/www.berjournal.com\/tr\/cryptocurrency-price-prediction-using-machine-learning-methods-and-determining-the-best-method-using-mcdm-techniques","title":{"rendered":"Makine \u00d6\u011frenmesi Y\u00f6ntemleri ile Kripto Varl\u0131k Fiyat Tahmini ve En \u0130yi Y\u00f6ntemin \u00c7KKV Teknikleri ile Belirlenmesi"},"content":{"rendered":"

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Makale Bilgileri<\/td>\n<\/tr>\n
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Dergi:<\/td>\nBusiness and Economics Research Journal<\/td>\n<\/tr>\n
Makalenin Ba\u015fl\u0131\u011f\u0131:<\/td>\nMakine \u00d6\u011frenmesi Y\u00f6ntemleri ile Kripto Varl\u0131k Fiyat Tahmini ve En \u0130yi Y\u00f6ntemin \u00c7KKV Teknikleri ile Belirlenmesi<\/td>\n<\/tr>\n
Yazar(lar):<\/td>\nYunus Emre Korkmaz, Serpil Alt\u0131n\u0131rmak, \u00c7a\u011flar Karama\u015fa<\/td>\n<\/tr>\n
Cilt:<\/td>\n16<\/td>\n<\/tr>\n
Say\u0131:<\/td>\n4<\/td>\n<\/tr>\n
Y\u0131l:<\/td>\n2025<\/td>\n<\/tr>\n
Sayfa:<\/td>\n463-492<\/td>\n<\/tr>\n
ISSN:<\/td>\n2619-9491<\/td>\n<\/tr>\n
DOI Numaras\u0131:<\/td>\n10.20409\/berj.2025.477<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n
\u00d6z<\/td>\n<\/tr>\n
Bu \u00e7al\u0131\u015fma, kripto varl\u0131k fiyatlar\u0131n\u0131n makine \u00f6\u011frenmesi algoritmalar\u0131 ile tahmin edilmesini ve en ba\u015far\u0131l\u0131 y\u00f6ntemin \u00e7ok kriterli karar verme (\u00c7KKV) teknikleriyle belirlenmesini ama\u00e7lamaktad\u0131r. Bitcoin, Ethereum, BNB, Ripple ve Dogecoin i\u00e7in 01.01.2018 ve 31.12.2023 y\u0131llar\u0131 aras\u0131ndaki g\u00fcnl\u00fck veriler kullan\u0131larak, fiyat hareketleri, teknik g\u00f6stergeler, yat\u0131r\u0131mc\u0131 duyarl\u0131l\u0131\u011f\u0131 ve makroekonomik fakt\u00f6rleri i\u00e7eren \u00e7ok boyutlu bir veri seti olu\u015fturulmu\u015ftur. Tahmin modelleri olarak SVR, RF, XGBoost ve LSTM algoritmalar\u0131 uygulanm\u0131\u015f olup, performanslar\u0131 R\u00b2, MAE, MSE ve RMSE gibi hata metrikleriyle de\u011ferlendirilmi\u015ftir. Ayr\u0131ca de\u011fi\u015fkenlerin \u00f6nem d\u00fczeyleri, SVR ve LSTM i\u00e7in perm\u00fctasyon \u00f6nem analizi ile, RF ve XGBoost\u2019un ise g\u00f6m\u00fcl\u00fc \u00f6nem hesaplama y\u00f6ntemleri ile analiz edilmi\u015ftir. Model performanslar\u0131na g\u00f6re olu\u015fturulan karar matrisi \u00fczerinden CRITIC y\u00f6ntemiyle kriter a\u011f\u0131rl\u0131klar\u0131 hesaplanarak TOPSIS, ARAS ve CODAS y\u00f6ntemleriyle s\u0131ralamalar yap\u0131lm\u0131\u015f ve en ba\u015far\u0131l\u0131 algoritma Copeland y\u00f6ntemiyle belirlenmi\u015ftir. Sonu\u00e7lara g\u00f6re, en y\u00fcksek genel ba\u015far\u0131y\u0131 XGBoost algoritmas\u0131n\u0131n sa\u011flad\u0131\u011f\u0131 g\u00f6r\u00fclmektedir. LSTM algoritmas\u0131 ikinci s\u0131rada yer al\u0131rken, RF \u00fc\u00e7\u00fcnc\u00fc ve SVR d\u00f6rd\u00fcnc\u00fc s\u0131rada yer alm\u0131\u015ft\u0131r. Ayr\u0131ca bulgular, teknik analiz de\u011fi\u015fkenlerinin model ba\u015far\u0131s\u0131nda belirleyici oldu\u011funu ancak, makroekonomik ve duyarl\u0131l\u0131k g\u00f6stergelerinin s\u0131n\u0131rl\u0131 katk\u0131 sa\u011flad\u0131\u011f\u0131n\u0131 g\u00f6stermektedir.<\/td>\n<\/tr>\n
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Anahtar Kelimeler:<\/td>\nKripto Varl\u0131k, Fiyat Tahmini, Makine \u00d6\u011frenmesi, A\u015f\u0131r\u0131 Gradyan Art\u0131rma, Destek Vekt\u00f6r Makinesi, Rastgele Orman, Uzun K\u0131sa K\u00fcreli Bellek, \u00c7KKV<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n
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JEL S\u0131n\u0131fland\u0131rmas\u0131:<\/td>\nC45, C53, G17<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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Makale Bilgileri Dergi: Business and Economics Research Journal Makalenin Ba\u015fl\u0131\u011f\u0131: Makine \u00d6\u011frenmesi Y\u00f6ntemleri ile Kripto Varl\u0131k Fiyat Tahmini ve En \u0130yi Y\u00f6ntemin \u00c7KKV Teknikleri ile Belirlenmesi Yazar(lar): Yunus Emre Korkmaz, Serpil Alt\u0131n\u0131rmak, \u00c7a\u011flar Karama\u015fa Cilt: 16 Say\u0131: 4 Y\u0131l: 2025 Sayfa: 463-492 ISSN: 2619-9491 DOI Numaras\u0131: 10.20409\/berj.2025.477 \u00d6z Bu \u00e7al\u0131\u015fma, kripto varl\u0131k fiyatlar\u0131n\u0131n makine \u00f6\u011frenmesi […]<\/p>\n

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