Fuzzy Optimization and Decision Making

Papers
(The H4-Index of Fuzzy Optimization and Decision Making is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
On uncertain partial differential equations129
Multidimensional quasi strongly summability in credibility theory66
Fuzzy tangent line to a fuzzy circle59
A subjective interpretation of Liu–Liu’s credibility measures and expectations54
Correction: Medical health resources allocation evaluation in public health emergencies by an improved ORESTE method with linguistic preference orderings36
Belief reliability analysis and maintenance modeling of uncertain random fractional systems32
Computing weighted overall equipment effectiveness based on a fuzzy approach: a comparative study with an application32
A comparative study on precision of pairwise comparison matrices27
Representation formulas for solutions of linear uncertain fractional differential equations and optimal control22
LQ optimal control of uncertain fractional differential systems22
Music statistics: uncertain logistic regression models with applications in analyzing music20
Modeling product sales with uncertain differential equation: an application to Meituan19
A new uncertain dominance and its properties in the framework of uncertainty theory19
A robust energy management approach in two-steps ahead using deep learning BiLSTM prediction model and type-2 fuzzy decision-making controller19
Valuation of convertible bond based on uncertain fractional differential equation18
Novel models and improved algorithms for fuzzy joint replenishment problem with carbon cap-and-trade policy18
Generalized mean semi-absolute deviation model of portfolio selection based on uncertainty theory17
Supply chain management based on uncertainty theory: a bibliometric analysis and future prospects17
A sustainable medical waste management system design in the face of uncertainty and risk during COVID-1917
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