Derivatives in fuzzy logic and some applications
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this thesis, fuzzy number and essential arithmetical operations between fuzzy numbers are examined after introducing fuzzy set and its primary properties. Also, differentiation concepts in fuzzy logic, which are the basic instruments for fuzzy differential equations, are examined and their applications are shown. Numerical simulations are used to analyse constant birth-death rate SIR epidemic model with fuzzy logic approach in the applications chapter. Lastly, the significance of fuzzy logic for economic analysis is demonstrated by obtaining fuzzy solutions for the Solow growth model which is one of the main growth models in economy.
Author
Maksude Keleş
Institution
How to Cite
Maksude Keleş (Master Thesis). Derivatives in fuzzy logic and some applications, 2018, TOBB Economics and Technology University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from TOBB Economics and Technology University
- Eavesdropping potential in wireless sensor networks and modeling and analysis of network life time recovery(2018)
- A comparison of the effects of two different internal audit systems on strategic planning: A case study(2018)
- Unsupervised driver performance scoring using geographical position and sensor data(2018)
- Perception of Syrian asylum seekers and nationalism in Turkey: the case of Ekşi Sözlük(2018)
- Invisible women in the past: Politicization process of traditional women(2018)
- Product scheduling problem with learning effect in a flexible flow shop: an application in defense industry(2018)