Browsing by Author "Gölcük, İlker"
Now showing items 1-10 of 10
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Alpha-cut based fuzzy cognitive maps with applications in decision-making
Baykasoğlu, Adil; Gölcük, İlker (Pergamon-Elsevier Science Ltd, 2021)Fuzzy cognitive maps (FCMs) are widely used fuzzy modeling tools for handling causal interdependencies in complex systems. In FCMs, system variables (concepts) and degree of interrelationships are quantified by means of ... -
Analysis of different binarization techniques within whale optimization algorithm
Gölcük, İlker; Özsoydan, Fehmi Burçin; Durmaz, Esra Duygu (IEEE, 2019)In this study, Whale Optimization Algorithm (WOA), which is a recently proposed swarm intelligence-based algorithm, has been used to solve binary optimization problems. As the WOA algorithm has been developed for optimizing ... -
Analysis of key performance indicators in a manufacturing plant via fuzzy cognitive maps
Baykasoğlu, Adil; Atalay, Zehra Nur; Gölcük, İlker (IEEE, 2019)Companies have to follow key performance indicators (KPIs) for their key objectives, such as increasing of productivity and profit, and reducing cost. Performance measurement and management is also important in this context. ... -
Evolutionary and adaptive inheritance enhanced Grey Wolf Optimization algorithm for binary domains
Gölcük, İlker; Özsoydan, Fehmi Burçin (Elsevier, 2020)This paper introduces a new binary Grey Wolf Optimization (GWO) algorithm, which is one of the recent swarm intelligence-based metaheuristic algorithms. Its various extensions have been reported in the related literature. ... -
A FCM-Based systematic approach for building and analyzing problem solving networks in open innovation
Felekoğlu, Burcu; Baykasoğlu, Adil; Gölcük, İlker (Old City Publishing Inc, 2020)The purpose of this paper is to propose a fuzzy cognitive mapping (FCM)-based systematic approach for building and analyzing problem solving networks in open innovation and illustrate the use of this approach with an ... -
An Interactive data-driven (dynamic) multiple attribute decision making model via interval type-2 fuzzy functions
Baykasoğlu, Adil; Gölcük, İlker (MDPI, 2019)A new multiple attribute decision making (MADM) model was proposed in this paper in order to cope with the temporal performance of alternatives during different time periods. Although dynamic MADM problems are enjoying a ... -
Interval type-2 fuzzy inference-based failure mode and effect analysis model in a group decision-making setting
Gölcük, İlker (Emerald Group Publishing Ltd, 2021)Purpose This paper proposes an integrated IT2F-FMEA model under a group decision-making setting. In risk assessment models, experts' evaluations are often aggregated beforehand, and necessary computations are performed, ... -
An interval type-2 fuzzy reasoning model for digital transformation project risk assessment
Gölcük, İlker (Pergamon-Elsevier Science Ltd, 2020)This study presents a new risk assessment model by combining interval type-2 fuzzy best-worst method (IT2F-BWM) and perceptual reasoning for risk evaluation of digital transformation projects. Digital transformations are ... -
Q-learning and hyper-heuristic based algorithm recommendation for changing environments
Gölcük, İlker; Özsoydan, Fehmi Burçin (Pergamon-Elsevier Science Ltd, 2021)A considerable amount of research has been devoted to solving static optimization problems via bio-inspired metaheuristic algorithms. However, most of the algorithms assume that all problem-related data remain unchanged ... -
Quantum particles-enhanced multiple Harris Hawks swarms for dynamic optimization problems
Gölcük, İlker; Özsoydan, Fehmi Burçin (Pergamon-Elsevier Science Ltd, 2021)Dynamic optimization problems (DOPs) have been a subject of considerable research interest mainly due to their widespread application potential. In the literature, various mechanisms have been reported to cope with the ...
