Goal-oriented decision support using Big Bang-Big Crunch learning based Fuzzy Cognitive Map: An ERP management case study

2013 ◽  
Author(s):  
Engin Yesil ◽  
M. Furkan Dodurka
Keyword(s):  
Decision Support ◽  
Big Bang ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Big Crunch ◽  
Management Case Study

scholarly journals Decision support system for diagnosing Rheumatic-Musculoskeletal Disease using fuzzy cognitive map technique

2020 ◽  
Vol 18 ◽  
pp. 100279 ◽  
Author(s):  
Boluwaji A. Akinnuwesi ◽  
Blessing A. Adegbite ◽  
Femi Adelowo ◽  
U. Ima-Edomwonyi ◽  
Gbenga Fashoto ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cognitive Map ◽  
Musculoskeletal Disease ◽  
Fuzzy Cognitive Map

scholarly journals Energy-Efficient Train Operation Using Nature-Inspired Algorithms

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Kemal Keskin ◽  
Abdurrahman Karamancioglu
Keyword(s):  
Big Bang ◽  
Light Rail ◽  
Operation Optimization ◽  
Rail Network ◽  
Trip Time ◽  
Penalty Factor ◽  
Train Operation ◽  
Big Crunch ◽  
Nature Inspired Algorithms

A train operation optimization by minimizing its traction energy subject to various constraints is carried out using nature-inspired evolutionary algorithms. The optimization process results in switching points that initiate cruising and coasting phases of the driving. Due to nonlinear optimization formulation of the problem, nature-inspired evolutionary search methods, Genetic Simulated Annealing, Firefly, and Big Bang-Big Crunch algorithms were employed in this study. As a case study a real-like train and test track from a part of Eskisehir light rail network were modeled. Speed limitations, various track alignments, maximum allowable trip time, and changes in train mass were considered, and punctuality was put into objective function as a penalty factor. Results have shown that all three evolutionary methods generated effective and consistent solutions. However, it has also been shown that each one has different accuracy and convergence characteristics.

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