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A decision-making procedure based on fuzzy decision making (FDM) is used for finding the best compromise solution from the set of Pareto-solutions obtained through MOPSO-NTVE.
The multi-objective optimization problem is solved using an improved non-dominated sorting genetic algorithm-II (INSGA-II) based on fuzzy decision making (FDM) method.
Multi-Purpose Gravitational Search Algorithm (MPGSA) based on fuzzy decision making is applied for the coordinated design of LWPGS controller and accelerating power PNS (PNS2B) of the synchronous machines.
To handle the multi objective problem efficiently, an integrated approach based on fuzzy decision making and ε-constraint method is proposed and used, considering both sustainability aspects and uncertainties in the system parameters.
Kumar et al. (2011) developed a DSS for supplier selection based on fuzzy decision making techniques.
In [89], a fast corner point detection method based on fuzzy decision trees was proposed and the computation speed was improved.
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A decision-making methodology based on fuzzy decision-making (FDM) is applied for finding the best compromise solution from the set of Pareto-optimal solutions obtained by INSGA-II technique.
The model is based on fuzzy multi objective decision making in order to simultaneously optimize multiple economic objectives and tackle the inherent uncertainties in the parameters and decision makers' aspiration levels for the goals.
This paper presents a new architecture of a fuzzy decision tree based on fuzzy rules – fuzzy rule based decision tree (FRDT) and provides a learning algorithm.
The fuzzy models based on fuzzy mathematical programming allow decision-makers use upper and lower bounds for the attainment of the objectives and soft constraints.
As a consequence, a selection process based on fuzzy majority for multipurpose decision-making problems under multiplicative preference relations is presented.
More suggestions(16)
based on such decision
based on fuzzy approach
based on fuzzy logic
based on fuzzy entropy
based on fuzzy programming
based on fuzzy simulation
based on autonomous decision
based on fuzzy control
based on fuzzy pairwise
based on fuzzy matter-element
based on patient decision
based on fuzzy inference
based on fuzzy decomposition
based on fuzzy similarity
based on democratic decision
based on naïve decision
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