Titlebook: Computational Intelligence; Revised and Selected Kurosh Madani,António Dourado,Janusz Kacprzyk Conference proceedings 2016 Springer Interna

充足

Model-Based Fuzzy System for Multimodal Image Segmentationaffinity values for fuzzy connectedness segmentation procedure, which is the main stage of the processing. The fuzzy rules, generated for the system simulating a radiological analysis, are structured on the basis of Gaussian mixture model of analyzed image regions. For the model parameters estimatio

MOTTO

giggle

Multi-distance and Fuzzy Similarity Based Fuzzy TOPSISdditional component of multi-distance in forming a closeness coefficient. Ordered weighted averaging is also used in the aggregation process over fuzzy similarity values. For the ordered weighted averaging operator weight generation we use the O’Hagan’s method, to find optimal weights. Several diffe

含铁

Methodology of Virtual Wood Piece Quality Evaluation sawmill divergent process in order to enhance the production plan. From a virtual representation of the product, singularity features are extracted and their impact on the product virtual quality is assessed thanks to the Choquet integrals. Next, the visual quality is evaluated by merging singulari

wreathe

Bumptious

绝缘

On the Deduction Problem in Gödel and Product Logicsranslation of a formula to an equivalent satisfiable finite order clausal theory, consisting of order clauses. An order clause is a finite set of order literals of the form . where . is a connective either . or .. . and . are interpreted by th xe equality and standard strict linear order on [0, 1],

PURG

MIRTH

https://doi.org/10.1007/978-0-387-74317-2uctures (such as polynomials), show that the empirical risk, penalized by suitable upper bounds for the Vapnik-Chervonenkis dimension, gives a generalization error smaller than the use of statistical conventional techniques such as Bayesian or Akaike information criteria.

ASSAY

Proof of the Mesoscopic Limit Theoreme values of a time series given. For that, it has been used a set of 20 time series, 6 different methods found in the literature, 4 distinct forecast horizons, and 3 distinct quality measures have been utilized for checking the results. In addition, a statistical study has been done to confirms the good results of the method L-Co-R.