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2020 – today
- 2023
[j21]Fehmi Burcin Ozsoydan
, Ilker Gölcük:
A reinforcement learning based computational intelligence approach for binary optimization problems: The case of the set-union knapsack problem. Eng. Appl. Artif. Intell. 118: 105688 (2023)- [j20]Fehmi Burcin Ozsoydan, Ilker Gölcük:
A hybridisation of linear programming and genetic algorithm to solve the capacitated facility location problem. Int. J. Prod. Res. 61(10): 3331-3349 (2023) - [j19]Ilker Gölcük, Fehmi Burcin Ozsoydan, Esra Duygu Durmaz:
An improved arithmetic optimization algorithm for training feedforward neural networks under dynamic environments. Knowl. Based Syst. 263: 110274 (2023) - 2022
- [j18]Ilker Gölcük, Esra Duygu Durmaz, Ramazan Sahin:
Interval type-2 fuzzy development of FUCOM and activity relationship charts along with MARCOS for facilities layout evaluation. Appl. Soft Comput. 128: 109414 (2022) - [j17]Ilker Gölcük:
An interval type-2 fuzzy axiomatic design method: A case study for evaluating blockchain deployment projects in supply chain. Inf. Sci. 602: 159-183 (2022) - [j16]Ilker Gölcük:
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]. Inf. Sci. 607: 440 (2022) - [j15]Ilker Gölcük:
Interval type-2 fuzzy inference-based failure mode and effect analysis model in a group decision-making setting. Kybernetes 51(8): 2603-2635 (2022) - 2021
- [j14]Adil Baykasoglu, Ilker Gölcük:
Alpha-cut based fuzzy cognitive maps with applications in decision-making. Comput. Ind. Eng. 152: 107007 (2021) - [j13]Ilker Gölcük, Fehmi Burcin Ozsoydan:
Q-learning and hyper-heuristic based algorithm recommendation for changing environments. Eng. Appl. Artif. Intell. 102: 104284 (2021) - [j12]Ilker Gölcük, Fehmi Burcin Ozsoydan:
Quantum particles-enhanced multiple Harris Hawks swarms for dynamic optimization problems. Expert Syst. Appl. 167: 114202 (2021) - 2020
- [j11]Ilker Gölcük:
An interval type-2 fuzzy reasoning model for digital transformation project risk assessment. Expert Syst. Appl. 159: 113579 (2020) - [j10]Ilker Gölcük, Fehmi Burcin Özsoydan:
Evolutionary and adaptive inheritance enhanced Grey Wolf Optimization algorithm for binary domains. Knowl. Based Syst. 194: 105586 (2020) - [j9]Adil Baykasoglu, Ilker Gölcük:
Revisiting ranking accuracy within WASPAS method. Kybernetes 49(3): 885-895 (2020) - [j8]Burcu Felekoglu, Adil Baykasoglu, Ilker Gölcük:
A FCM-Based Systematic Approach for Building and Analyzing Problem Solving Networks in Open Innovation. J. Multiple Valued Log. Soft Comput. 34(1-2): 149-176 (2020) - [j7]Adil Baykasoglu, Ilker Gölcük:
Comprehensive fuzzy FMEA model: a case study of ERP implementation risks. Oper. Res. 20(2): 795-826 (2020)
2010 – 2019
- 2019
- [j6]Adil Baykasoglu, Ilker Gölcük:
A dynamic multiple attribute decision making model with learning of fuzzy cognitive maps. Comput. Ind. Eng. 135: 1063-1076 (2019) - 2017
- [j5]Adil Baykasoglu, Ilker Gölcük, Derya Eren Akyol:
A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies. Ann. Oper. Res. 251(1-2): 205-242 (2017) - [j4]Adil Baykasoglu, Ilker Gölcük:
Development of a two-phase structural model for evaluating ERP critical success factors along with a case study. Comput. Ind. Eng. 106: 256-274 (2017) - [j3]Adil Baykasoglu, Ilker Gölcük:
Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS. Expert Syst. Appl. 70: 37-51 (2017) - 2016
- [j2]Ilker Gölcük, Adil Baykasoglu:
An analysis of DEMATEL approaches for criteria interaction handling within ANP. Expert Syst. Appl. 46: 346-366 (2016) - 2015
- [j1]Adil Baykasoglu, Ilker Gölcük:
Development of a novel multiple-attribute decision making model via fuzzy cognitive maps and hierarchical fuzzy TOPSIS. Inf. Sci. 301: 75-98 (2015)
Coauthor Index
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