Optimal design of agro-residue filled poly(lactic acid) biocomposites using an integrated CRITIC-CoCoSo multi-criteria decision-making approach. [PDF]
Lendvai L, Jakab SK, Singh T.
europepmc +1 more source
Dual-hesitant fermatean fuzzy Hamacher aggregation operators and TOPSIS with their application to multi-criteria decision-making. [PDF]
Amman M +4 more
europepmc +1 more source
Alternative prioritization for mitigating competition-related issues in Tanzania sugar industry using an integrated multi-criteria decision-making approach. [PDF]
Chusi TN, Zuo Y, Shehbaz A, Bouraima MB.
europepmc +1 more source
Psychological resilience factors in intensive care nursing: a hybrid multi-criteria decision-making model. [PDF]
Liu X +5 more
europepmc +1 more source
Engaging health system, service and consumer representatives in the co-design of a multi-criteria decision-making framework for commissioning overweight and obesity programs and services. [PDF]
Thomas L +4 more
europepmc +1 more source
Correction: Integrating artificial neural networks, multi-objective metaheuristic optimization, and multi-criteria decision-making for improving MXene-based ionanofluids applicable in PV/T solar systems. [PDF]
Hai T +10 more
europepmc +1 more source
An extension of the best-worst method based on the spherical fuzzy sets for multi-criteria decision-making. [PDF]
Haseli G +6 more
europepmc +1 more source
Social life cycle sustainability assessment of dried tomato products based on material and process selection through multi-criteria decision making. [PDF]
Ayhan D +5 more
europepmc +1 more source
Related searches:
Dynamic multi‐criteria decision making
Journal of Multi-Criteria Decision Analysis, 1992AbstractMost medium‐and long‐term decision making in industry and government can be viewed as dynamic multi‐criteria decision making (MCDM), in which the decision makers are free to alter the emphasis placed on each objective in the light of developing circumstances.
openaire +2 more sources
Multi-Criteria Decision Making
2002One aspect that most of the current research on evolutionary multiobjective optimization (EMO) often disregards is the fact that the solution of a multiobjective optimization problem (MOP) really involves three stages: measurement, search, and decision making.
Carlos A. Coello Coello +2 more
openaire +1 more source

