Titlebook: Soft Computing for Risk Evaluation and Management; Applications in Tech Da Ruan,Janusz Kacprzyk,Mario Fedrizzi Book 2001 Springer-Verlag Be

inspiration

Decision Making under Uncertainty with Ordinal Linguistic Dataion making under uncertainty in the context of linguistic data: Possibilistic Decisionmaking, Revised Possibilistic Decisionmaking, Commensurate L-Fuzzy Risk Minimization, Fuzzy Relational Ordinal Risk Minimization, and Quadratic Ordinal Psychophysical Optimization. Finally, these five techniques are illustrated using a single example.

cathartic

Neuro-Fuzzy Modelling of Time Series in a local context, a small number of eigenvectors which possess larger eigenvalues provide a good summary of all the original variables. Fuzzy controllers can be trained for mapping the input projection in the eigenspace to the outputs. Experiments of time series prediction validate the concept.

破译密码

Artificial Intelligence Classifiers and Their Social Impact. After that, we will step out into unknown land and try to foresee by analogy some of the social changes that will be and are already being provoked by the new paradigms in information processing. Not surprisingly, there are no conclusions, because we are not concluding a process, but initiating it.

instructive

纯朴

尽忠

Decision Making under Uncertainty with Ordinal Linguistic Datad (dis)utility consequence measures and ratio scaled subjective probability measures. Over the past three decades, soft computing has provided alternative approaches with less stringent scale assumptions. After a brief introduction, this paper presents a description of five ordinal methods for decis

gerrymander

Middle-Ear

hair-bulb

Extensions and Applications of Evidence Theoryshown its extensions to be needed. The belief function can not handle the issue of comparisons. The orthogonal sum indeed plays a main role in evidential reasoning, but it has been criticised when it is used for combining two largely conflicting pieces of evidence. Also, it can only be used to combi

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