Recurrent Type-1 Fuzzy Functions Approach for Time Series Forecasting (Zaman Serileri Öngörülerinde 1. Tip Bulanık Fonksiyon Yaklaşımı) - Nihat Tak (2016)

Recurrent type-1 fuzzy functions approach for time series forecasting. - Nihat Tak; Atif A. Evren; Mujgan Tez; Erol Egrioglu (Appl. Intell., 2018)

Meta fuzzy functions: Application of recurrent type-1 fuzzy functions. - Nihat Tak (Appl. Soft Comput., 2018)

Type-1 recurrent intuitionistic fuzzy functions for forecasting. - Nihat Tak (Expert Syst. Appl., 2020)

Type-1 possibilistic fuzzy forecasting functions. - Nihat Tak (J. Comput. Appl. Math., 2020)

Forecast combination with meta possibilistic fuzzy functions. - Nihat Tak (Inf. Sci., 2021)

An adaptive forecast combination approach based on meta intuitionistic fuzzy functions. - Nihat Tak; Erol Egrioglu; Eren Bas; Ufuk Yolcu (J. Intell. Fuzzy Syst., 2021)

Type-1 fuzzy forecasting functions with elastic net regularization. - Nihat Tak; Deniz Inan (Expert Syst. Appl., 2022)

Forecast combination approach with meta-fuzzy functions for forecasting the number of immigrants within the maritime line security project in Turkey. - Fatma Carman Cevik; Basak Gever; Nihat Tak; Tahir Khaniyev (Soft Comput., 2023)

An innovative approach to ensemble learning in bankruptcy prediction using support vector machines and meta fuzzy functions. - Pinar Karadayi Atas; Nihat Tak; Süreyya Özögür-Akyüz; Birsen Eygi Erdogan (Inf. Sci., 2025)