Application of MADM methods in Industry 4.0: A literature review

W Zayat, HS Kilic, AS Yalcin, S Zaim, D Delen - Computers & Industrial …, 2023 - Elsevier
Industry 4.0 has received inordinate attention from the business as well as research
communities. Along with the development of Industry 4.0 applications and the diversity of …

Recent developments on fuzzy AHP&ANP under vague and imprecise data: evidence from INFUS conferences

C Kahraman, S Çebi, SÇ Onar, B Öztayşi - International Journal of the …, 2022 - ijahp.org
When a decision maker is not sure in assigning a value for a pairwise comparison, he/she
should assign a fuzzy value such as 'between 3 and 4'or 'around 5'. These expressions can …

Evaluation of autonomous vehicle driving systems for risk assessment based on three-dimensional uncertain linguistic variables

M Erdoğan, İ Kaya, A Karaşan, M Çolak - Applied Soft Computing, 2021 - Elsevier
Autonomous vehicle driving systems (AVDSs) have independent decision structures from
the users to manage and control the operations of the vehicles both in normal conditions …

Interval-valued fermatean fuzzy based risk assessment for self-driving vehicles

M Kirişci - Applied Soft Computing, 2024 - Elsevier
The decision-making (DM) processes used by autonomous vehicle driving systems are
separate from those of the users, allowing them to oversee and regulate the operations of …

An extended hesitant fuzzy set for modeling multi-source uncertainty and its applications in multiple-attribute decision-making

L Li, Y Xu - Expert Systems with Applications, 2024 - Elsevier
Handling uncertainty has always been a pervasive and formidable challenge in the realm of
multiple-attribute decision-making (MADM). Hesitant fuzzy set (HFS) can retain several …

[HTML][HTML] Exploring the Role of Autonomous Trucks in Addressing Challenges within the Trucking Industry: A Comprehensive Review

A Hasiri, A Kermanshah - Systems, 2024 - mdpi.com
The trucking industry, a vital part of the economic structure, faces numerous challenges such
as greenhouse gas emissions, labor-related issues, fluctuating fuel costs, and safety …

Экономическое развитие транспортной инфраструктуры на основе искусственного интеллекта

ЛМ Чеченова - Экономика железных дорог, 2021 - elibrary.ru
В статье предложена методика оценки экономического эффекта от внедрения камеры
с искусственным интеллектом для определения готовности фронта работ. Для …

Evaluation and Selection of Routes for Automated Road Freight Vehicles: Using the analytical hierarchy process (AHP) to evaluate andselect potential routes for …

J Kauper - 2023 - diva-portal.org
Researchers anticipate the road freight industry to be among the first ones to integrate
automated driving systems (ADS) in their operations. Matching the driving capabilities with …

A Fuzzy Hybrid Approach to The Marketplace Seller Selection Problem in E-Commerce

KT Ateş - Osmaniye Korkut Ata Üniversitesi Fen Bilimleri … - dergipark.org.tr
Considering today's conditions and the sudden emergence of an epidemic disease, internet
commerce has necessarily increased. This situation has led to the diversification of vendors …

Artificial Intelligence as a Basic Resource of Modern Transport Infrastructure

L Chechenova - International Scientific Siberian Transport Forum, 2021 - Springer
Purpose: The purpose of this research is to assess and justify the economic justification for
the project of installing cameras using the artificial intellect on the correction machine by …