Nihat Tak

12 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Meta fuzzy feature-selection-based regression functions.
Appl. Soft Comput.
Nihat Tak, Aylin Uçan
2026 J jnl
Type-1 fuzzy functions for forecasting: A literature review and bibliometric analysis.
Fuzzy Sets Syst.
Aysegül Yabaci Tak, Nihat Tak
2025 J jnl
An innovative approach to ensemble learning in bankruptcy prediction using support vector machines and meta fuzzy functions.
Inf. Sci.
Pinar Karadayi Atas, Nihat Tak, Süreyya Özögür-Akyüz, Birsen Eygi Erdogan
2023 J jnl
Forecast combination approach with meta-fuzzy functions for forecasting the number of immigrants within the maritime line security project in Turkey.
Soft Comput.
Fatma Carman Cevik, Basak Gever, Nihat Tak, Tahir Khaniyev
2022 J jnl
Type-1 fuzzy forecasting functions with elastic net regularization.
Expert Syst. Appl.
Nihat Tak, Deniz Inan
2021 J jnl
An adaptive forecast combination approach based on meta intuitionistic fuzzy functions.
J. Intell. Fuzzy Syst.
Nihat Tak, Erol Egrioglu, Eren Bas, Ufuk Yolcu
2021 J jnl
Forecast combination with meta possibilistic fuzzy functions.
Inf. Sci.
Nihat Tak
2020 J jnl
Type-1 possibilistic fuzzy forecasting functions.
J. Comput. Appl. Math.
Nihat Tak
2020 J jnl
Type-1 recurrent intuitionistic fuzzy functions for forecasting.
Expert Syst. Appl.
Nihat Tak
2018 J jnl
Meta fuzzy functions: Application of recurrent type-1 fuzzy functions.
Appl. Soft Comput.
Nihat Tak
2018 J jnl
Recurrent type-1 fuzzy functions approach for time series forecasting.
Appl. Intell.
Nihat Tak, Atif A. Evren, Mujgan Tez, Erol Egrioglu
2016 — —
Recurrent Type-1 Fuzzy Functions Approach for Time Series Forecasting (Zaman Serileri Öngörülerinde 1. Tip Bulanık Fonksiyon Yaklaşımı)
Nihat Tak