Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 6th International Sy Van-Nam Huynh,Masahiro Inuiguchi,Thierry Denoeux Co

accrete

揭穿真相

Measuring Efficiency Intervals in Multiple Groups with Privacy Concernsindings for instance in case of focusing on a specific small group. The multi-accumulated data can be available for the analysis, if the different several organizations accumulated similar data independently. However, the organizations need to care for privacy since the original data could include a

dowagers-hump

An Evidence Theoretic Approach to Interval Analytic Hierarchy Processtor. In this paper, we apply the evidence theory to the representation of the vague evaluations as an alternative way. Accordingly, in the proposed approach, a basic probability assignment (BPA) is used for representing vague priority weights instead of a normalized interval weight vector. We formul

航海太平洋

Methods for Clustering Categorical and Mixed Data: An Overview and New Algorithms according to different classes of similarities are discussed. Details of several algorithms are then given, which include agglomerative hierarchical clustering, .-means and related methods such as .-medoids and .-modes, and methods of network clustering. The way how the combinations of existing ide

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左右連貫

細(xì)胞學(xué)

APEX