Development of a novel multiple-attribute decision making model via fuzzy cognitive maps and hierarchical fuzzy TOPSIS. - Adil Baykasoglu; Ilker Gölcük (Inf. Sci., 2015)

An analysis of DEMATEL approaches for criteria interaction handling within ANP. - Ilker Gölcük; Adil Baykasoglu (Expert Syst. Appl., 2016)

A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies. - Adil Baykasoglu; Ilker Gölcük; Derya Eren Akyol (Ann. Oper. Res., 2017)

Development of a two-phase structural model for evaluating ERP critical success factors along with a case study. - Adil Baykasoglu; Ilker Gölcük (Comput. Ind. Eng., 2017)

Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS. - Adil Baykasoglu; Ilker Gölcük (Expert Syst. Appl., 2017)

A dynamic multiple attribute decision making model with learning of fuzzy cognitive maps. - Adil Baykasoglu; Ilker Gölcük (Comput. Ind. Eng., 2019)

An interval type-2 fuzzy reasoning model for digital transformation project risk assessment. - Ilker Gölcük (Expert Syst. Appl., 2020)

Evolutionary and adaptive inheritance enhanced Grey Wolf Optimization algorithm for binary domains. - Ilker Gölcük; Fehmi Burcin Özsoydan (Knowl. Based Syst., 2020)

Revisiting ranking accuracy within WASPAS method. - Adil Baykasoglu; Ilker Gölcük (Kybernetes, 2020)

A FCM-Based Systematic Approach for Building and Analyzing Problem Solving Networks in Open Innovation. - Burcu Felekoglu; Adil Baykasoglu; Ilker Gölcük (J. Multiple Valued Log. Soft Comput., 2020)

Comprehensive fuzzy FMEA model: a case study of ERP implementation risks. - Adil Baykasoglu; Ilker Gölcük (Oper. Res., 2020)

Alpha-cut based fuzzy cognitive maps with applications in decision-making. - Adil Baykasoglu; Ilker Gölcük (Comput. Ind. Eng., 2021)

Q-learning and hyper-heuristic based algorithm recommendation for changing environments. - Ilker Gölcük; Fehmi Burcin Ozsoydan (Eng. Appl. Artif. Intell., 2021)

Quantum particles-enhanced multiple Harris Hawks swarms for dynamic optimization problems. - Ilker Gölcük; Fehmi Burcin Ozsoydan (Expert Syst. Appl., 2021)

Interval type-2 fuzzy development of FUCOM and activity relationship charts along with MARCOS for facilities layout evaluation. - Ilker Gölcük; Esra Duygu Durmaz; Ramazan Sahin (Appl. Soft Comput., 2022)

An interval type-2 fuzzy axiomatic design method: A case study for evaluating blockchain deployment projects in supply chain. - Ilker Gölcük (Inf. Sci., 2022)

Corrigendum to "An interval type-2 fuzzy axiomatic design method: A case study for evaluating blockchain deployment projects in supply chain" [Inf. Sci. 602 (2022) 159-183]. - Ilker Gölcük (Inf. Sci., 2022)

Interval type-2 fuzzy inference-based failure mode and effect analysis model in a group decision-making setting. - Ilker Gölcük (Kybernetes, 2022)

A reinforcement learning based computational intelligence approach for binary optimization problems: The case of the set-union knapsack problem. - Fehmi Burcin Ozsoydan; Ilker Gölcük (Eng. Appl. Artif. Intell., 2023)

An improved arithmetic optimization algorithm for training feedforward neural networks under dynamic environments. - Ilker Gölcük; Fehmi Burcin Ozsoydan; Esra Duygu Durmaz (Knowl. Based Syst., 2023)

A hybridisation of linear programming and genetic algorithm to solve the capacitated facility location problem. - Fehmi Burcin Ozsoydan; Ilker Gölcük (Int. J. Prod. Res., 2023)

An explainable risk classification model by integrating fuzzy multiple criteria sorting and fuzzy linguistic summarization. - Esra Duygu Durmaz; Sena Aydogan; Ilker Gölcük (Appl. Soft Comput., 2025)

Reinforcement and opposition-based learning enhanced weighted mean of vectors algorithm for global optimization and feature selection. - Ilker Gölcük; Fehmi Burcin Ozsoydan; Esra Duygu Durmaz (Knowl. Based Syst., 2025)

Fuzzy best-worst method-based approach for warehouse location selection and a case study in Izmir. - Çagla Cergibozan; Ilker Gölcük (Kybernetes, 2025)

A hyper-heuristic enhanced neuro-evolutionary algorithm with self-adaptive operators and various activation functions for classification problems. - Fehmi Burcin Ozsoydan; Ilker Gölcük; Esra Duygu Durmaz (Neural Networks, 2025)