Enhancing efficiency and cost-effectiveness: A groundbreaking bi-algorithm MCDM approach

CN Wang, FC Yang, TMN Vo, VTT Nguyen, M Singh - Applied Sciences, 2023 - mdpi.com
Numerous scholars have thoroughly studied the topic of choosing machines considering the
progress and technological growth seen in machinery options. This scholarly investigation …

An intelligent and optimal deep learning approach in sensor based networks for detecting microbes

S Remya, T Anjali - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Microbes constitute a substantial portion of Earth's biodiversity and play a critical role in
maintaining the equilibrium of ecosystems. Their significance extends to various domains …

Heterogeneous large-scale group decision making with subgroup leaders: An application to the green supplier selection

W Ma, K Gong, Z Tian - Journal of the Operational Research …, 2023 - Taylor & Francis
Under the mainstream development trend of energy conservation, environmental protection
and sustainability, green supplier selection has become a common concern of many …

A multistage decision-making method for multi-source information with Shapley optimization based on normal cloud models

W Liu, J Zhu - Applied Soft Computing, 2021 - Elsevier
It is difficult to make scientific decisions for multistage complex decision-making problems,
which are heavily affected by multi-level attributes, stage changes, and multi-source …

Analytical-solution-based interval fuzzy utility acquisition and decision making with interval-valued fuzzy preference relations based on additive consistency

X Yang, X Tong, ZJ Wang - Information Sciences, 2024 - Elsevier
Acquiring an analytical solution of interval fuzzy utility vectors (IFUVs) from interval-valued
fuzzy preference relations (IVFPRs) plays a key role in improving the efficiency and …

Stock price prediction for new energy vehicle enterprises: An integrated method based on time series and cloud models

M Wang, Z Xiao, H Peng, X Wang, J Wang - Expert Systems with …, 2022 - Elsevier
Vigorously developing new energy vehicles (NEVs) is a new strategic goal of the automotive
industry nowadays. Stocks are important channels for NEV enterprises to raise funds, and …

Additive consistency analysis and normalized optimal utility vector derivation for triangular fuzzy additive reciprocal preference relations

ZJ Wang - Information Sciences, 2022 - Elsevier
This paper focuses on extending Tanino's additive consistency to triangular fuzzy additive
reciprocal preference relations (TFARPRs) and deriving normalized optimal fuzzy utility …

New additive consistency framework and utility derivation for interval fuzzy reciprocal preference relations

ZJ Wang, FQ Liu, ST Qin, XT Jin - Journal of the Operational …, 2021 - Taylor & Francis
The interval fuzzy reciprocal preference relation (IFRPR) is one of commonly used
frameworks characterizing decision-makers' indeterminate preferences in multi-criteria …

Mathematical modeling for the closed-loop supply chain with consideration of sustainability risks: a hybrid optimization approach

J Valizadeh, AG Ghahroudi, S Soltani… - Environment …, 2024 - Springer
This study presents a novel approach for managing sustainability risks in closed-loop supply
chains (CLSCs) through a hybrid optimization model. To achieve this, we utilized published …

A three-stage digital maturity model to assess readiness blockchain implementation in maritime logistics industry

SMM Hamidi, SF Hoseini, H Gholami… - Journal of Industrial …, 2024 - Elsevier
Interesting opportunities lie in digital technologies, such as blockchain, as enablers of further
digital development in maritime logistics processes. Marine companies must assess their …