An Enhanced VIKOR and Its Revisit for the Manufacturing Process Application
This study enhances VIKOR by reducing individual regret amplification, testing ranking stability across methods, applying ordered weighted averaging, and selecting a manufacturing process through a robust illustrative case study analysis.
A Fuzzy DEMATEL framework for maintenance performance improvement: A case of Moroccan Chemical Industry
This study uses Fuzzy DEMATEL to identify and prioritize maintenance indicators, guiding limited resources toward effective performance improvement in a Moroccan chemical industry case for operational decision making and planning.
An analytics protocol for calibrating benchmarking-community claims in data envelopment analysis
This study audits DEA reference-network claims across confidential and public panels, quantifying calibration uncertainty, false-fire rates, reproducibility, and limits of community-informed decision rules for confirmatory benchmarking analyses in real applications.
Application of fuzzy VIKOR and cluster analysis for performance evaluation of Original Equipment Manufacturers
This study evaluates automobile suppliers using fuzzy VIKOR and cluster analysis. It converts expert judgments into performance priorities, ranks twenty OEMs, and groups suppliers into three categories for monitoring decisions.
A comparison between TOPSIS and SAW methods
This study compares TOPSIS and SAW, examining value functions, trade-off weights, Minkowski distances, and ranking similarity to identify when both multi-criteria decision methods produce comparable results in systematic computational experiments.
Decision Model for Green Supplier Selection in New Energy Vehicles Combining Prospect Theory and VIKOR
This article combines Prospect Theory and VIKOR for green supplier selection in new energy vehicles, integrating DEMATEL and entropy weights and evaluating the model with a battery enterprise case study.
The fuzzy saw and fuzzy TOPSIS procedures based on ordered fuzzy numbers
This article presents linguistic fuzzy SAW and fuzzy TOPSIS procedures using ordered fuzzy numbers to represent imprecise evaluations and support understandable multi-criteria decision making.
A data envelopment analysis-informed neural network for production frontier estimation with soft regularization of production axioms
This article presents DEAINN, a DEA-informed neural network that embeds production axioms to improve frontier estimation accuracy, generalization, scalability, and energy-efficiency analysis.
Nationwide assessment and turbine selection for energy recovery in water distribution networks using fuzzy AHP – VIKOR method
This study develops a nationwide framework combining fuzzy AHP and VIKOR to select hydropower turbines, estimate energy recovery, and assess sustainability across Iranian water networks.