Aggregation framework for TSK fuzzy and association rules: interpretability improvement on a traffic accidents case
S Nemet, D Kukolj, G Ostojić, S Stankovski… - Applied …, 2019 - Springer
The number and diversity of machine learning applications causes an increasing need for
understanding computational models and used data. This paper deals with a framework …
understanding computational models and used data. This paper deals with a framework …
[PDF][PDF] Spatial Analysis for the Classification of Prone Roads Traffic Accidents: A Systematic Literature Review
Identifying prone road traffic accidents (PRTA) has been based on the total number of
accidents data. Determining road names that have not been appropriately approved makes …
accidents data. Determining road names that have not been appropriately approved makes …
A decision support model for transportation companies to examine driver behavior
M Čubranić-Dobrodolac, L Švadlenka… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The entire society, and particularly the transportation companies, has an interest to improve
traffic safety. Besides more than 3000 lost lives on the roads every day, there are significant …
traffic safety. Besides more than 3000 lost lives on the roads every day, there are significant …
Bulanık Mantık Yaklaşımı ile Trafik Kazası Riskinin Değerlendirilmesi
S Kulaç, S Arslankaya - Trafik ve Ulaşım Araştırmaları Dergisi, 2024 - dergipark.org.tr
Trafik kazalarından kaynaklanan ölümler ve yaralanmalar tüm dünyada ciddi bir sorun
olmaya devam etmektedir. Trafik kazalarına sebep olan faktörler oldukça çeşitlidir ve …
olmaya devam etmektedir. Trafik kazalarına sebep olan faktörler oldukça çeşitlidir ve …
Povećanje Razumljivosti Modela Zasnovanog Na Pravilima
S Nemet - 2020 - search.proquest.com
Tehnike mašinskog učenja imaju brojne primene u tehnici, medicini, bankarstvu i mnogim
drugim oblastima. Prisutan je porast potrebe za računarskim metodama koji iz velike …
drugim oblastima. Prisutan je porast potrebe za računarskim metodama koji iz velike …