… or fuzzy values, how can the entropy method be applied to generate the objective weights in
… attribute will lead to the credibility of the generated weights. The kernel of the problem lies in …

… The evidential reasoning (ER) approach is well suited for … In this paper, both triangular fuzzy
weights of criteria and fuzzy … fuzzy judgment matrices, the result of which is applied as the …

… based on unknown attribute weights called a robust solution … evidential reasoning (ER)
approach to compare alternatives by measuring their robustness with respect to attribute weights …

… triangular fuzzy weights to interval weights for the purpose of dealing with the fuzzy type
of weight and utility in a consistent way. Several pairs of group evidential reasoning based …

… Evidential reasoning (ER) provides an efficient framework to … In this paper, we want to focus
on the weighted combination of … weight is updated, we will recalculate the classifier weight α …

… intuitionistic fuzzy decision method based on prospect theory and the evidential reasoning
… values are intuitionistic fuzzy numbers and the information of attributes weights is unknown. …

… uncertainty principles and evidential reasoning. There is no step of weights selection in …
COWA-ER approach, called Fuzzy-Cautious OWA with Evidential Reasoning (FCOWA-ER), …

… fuzzy sets, every interval grade will be a trapezoidal fuzzy set [… the fuzzy intersection subset
of the two adjacent fuzzy interval … both weights and utilities via evidential reasoning for MADM,…

… maker’s decision matrix and the weights of the attributes to get the aggregated … weights of
the experts and the evidential reasoning methodology to get the aggregated intuitionistic fuzzy …

… the weight elicitation processes. This leads to our discussion of the use of AHP, Fuzzy Set
Theory (FST), Evidential Reasoning (… , it is logical to elicit the weights of life cycle phases using …