A new fuzzy MARCOS method for road traffic risk analysis

M Stanković, Ž Stević, DK Das, M Subotić, D Pamučar - Mathematics, 2020 - mdpi.com
In this paper, a new fuzzy multi-criteria decision-making model for traffic risk assessment
was developed. A part of a main road network of 7.4 km with a total of 38 Sections was …

[HTML][HTML] A comparison between fuzzy AHP and fuzzy TOPSIS methods to software requirements selection

M Nazim, CW Mohammad, M Sadiq - Alexandria Engineering Journal, 2022 - Elsevier
The fuzzy set theory as one of the key agents of artificial intelligence has been used to deal
with vagueness and imprecision during the decision-making process. The software …

[PDF][PDF] Supplier selection for steelmaking company by using combined Grey-MARCOS methods

I Badi, D Pamucar - Decision Making: Applications in …, 2020 - researchgate.net
Original scientific paper Abstract: Selecting the right suppliers should saw as more than
simply scanning a set of available price lists and comparing them, but rather as including a …

Overcoming obstacles to renewable energy development in Libya: An MCDM approach towards effective strategy formulation

I Badi, Ž Stević, MB Bouraima - Decision Making Advances, 2023 - dma-journal.org
Renewable energy development in Libya faces numerous obstacles that hinder its progress.
This paper aims to identify these obstacles and propose effective strategies to overcome …

An integrated approach for fuzzy failure modes and effects analysis using fuzzy AHP and fuzzy MAIRCA

S Boral, I Howard, SK Chaturvedi, K McKee… - Engineering Failure …, 2020 - Elsevier
Failure mode and effect analysis (FMEA) is a proactive risk assessment technique, which
has been widely used by engineers to meet the safety and reliability requirements of …

An integrated intelligent decision support framework for the development of photovoltaic solar power

MB Bouraima, E Ayyıldız, I Badi, G Özçelik… - … Applications of Artificial …, 2024 - Elsevier
An emerging question for photovoltaic (PV) solar power development is how to ascertain the
optimal choice from a finite set of available alternatives under numerous conflicting criteria …

Comparison of three fuzzy MCDM methods for solving the supplier selection problem

G Petrović, J Mihajlović, Ž Ćojbašić… - Facta Universitatis …, 2019 - casopisi.junis.ni.ac.rs
The evaluation and selection of an optimal, efficient and reliable supplier is becoming more
and more important for companies in today's logistics and supply chain management …

Integrated linguistic entropy weight method and multi-objective programming model for supplier selection and order allocation in a circular economy: A case study

J Feng, Z Gong - Journal of Cleaner Production, 2020 - Elsevier
Green supply chain management is one of the most important strategies to enhance the
competitiveness of modern enterprises. Traditional supplier selection methods seldom …

Multi-criteria decision analysis for pharmaceutical supplier selection problem using fuzzy TOPSIS

UM Modibbo, M Hassan, A Ahmed, I Ali - Management Decision, 2022 - emerald.com
Purpose Supplier selection in the supply chain network (SCN) has strategic importance and
involves multiple factors. The multi-criteria nature of the problem coupled with environmental …

Modelling procedure for the selection of steel pipes supplier by applying fuzzy AHP method

EK Zavadskas, Z Turskis, Ž Stević… - Operational Research in …, 2020 - oresta.org
The aim of this research is the evaluation and selection of suppliers by applying the fuzzy
multi-criteria analysis. The study used fuzzy Analytic Hierarchy Process (FAHP) to choose …