Titlebook: Soft Computing Applications for Group Decision-making and Consensus Modeling; Mikael Collan,Janusz Kacprzyk Book 2018 Springer Internation

extemporaneous

怕失去钱

Coherent Conditional Plausibility: A Tool for Handling Fuzziness and Uncertainty Under Partial Inforn imprecision and ambiguity of agents are considered. Our main aim is to study inferential processes, like the Bayesian one, when the information is expressed in natural language and the uncertainty measure is either partially or imprecisely assessed. We deal with partial assessments consistent with

OCTO

慷慨不好

Maximal Entropy and Minimal Variability OWA Operator Weights: A Short Survey of Recent Developments of the first approaches, suggested by O’Hagan, determines a special class of OWA operators having maximal entropy of the OWA weights for a given level of orness; algorithmically it is based on the solution of a constrained optimization problem. In 2001, using the method of Lagrange multipliers, Ful

唤起

nonsensical

Rank Reversal in the AHP with Consistent Judgements: A Numerical Study in Single and Group Decision archy Process, AHP. We consider both the case of a single decision maker and the case of group decision making. The idea is to focus on a condition which preserves Rank Reversal, RR in the following, and progressively relax it. First, we study how the estimated probability of RR depends on the distr

ALLEY

Estimating One-Off Operational Risk Events with the Lossless Fuzzy Weighted Average Methodive operational events. The typical way to produce these estimates is to use a quantitative value at risk methodology that is based on a limited amount of data, but also the use of qualitative, expert estimate-based methodologies is sanctioned by the regulations. The final estimations are most often

occurrence

GRIN

MITE

Estimating One-Off Operational Risk Events with the Lossless Fuzzy Weighted Average Methodow and why it is a usable tool for the aggregation of expert estimates in the context of estimating the unlikely one-off operational losses originating from single risks. The method is simple to use, intuitive to understand, and does not suffer from the loss of information associated with using many other weighted averaging methods.