Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 4th International Sy Van-Nam Huynh,Masahiro Inuiguchi,Thierry Demoeux Co

Grievance

开花期女

https://doi.org/10.1007/978-3-319-25135-6Algorithms; Data mining; Granular and soft computing; Knowledge modelling; Risk management; Applications;

含糊

晚来的提名

Proposal of Grid Area Search with UCB for Discrete Optimization Problem,optimization problem as a Multi-Armed Bandit Problem, and therefore the UCB algorithm is directly introduced for the balancing. We proposed a UCB-grid area search and conducted numerical experiments on the 0-1 Knapsack Problem. Our method showed stable results in different environments.

VEST

嘲笑

Conference proceedings 2015, IUKM 2015, held in Nha Trang, Vietnam, in October 2015...The 40 revised full papers were carefully reviewed and selected from 58 submissions and are presented together with three keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on

Collected

0302-9743 y in Knowledge Modeling and Decision Making, IUKM 2015, held in Nha Trang, Vietnam, in October 2015...The 40 revised full papers were carefully reviewed and selected from 58 submissions and are presented together with three keynote and invited talks. The papers provide a wealth of new ideas and repo

抗原

硬化

Construction of Associative Functions for Several Fuzzy Logics via the Ordinal Sum Theorem,ums for various properties of logical operations are presented: for examples, the monotonicity, the location of the unit element, the left/right-continuity, or and/or-likeness. Finally, some examples to construct pseudo-uninorms by the proposed method are illustrated.

完整

A New Measure of Monotone Dependence by Using Sobolev Norms for Copula,c . to construct the measure . for a class of Mutual Complete Dependences (MCDs). Due to the fact that the class of monotone dependence is contained in the class of MCDs, we constructed a new measure of monotone dependence, . based on Sobolev metric which can be used to characterize comonotonic, countermonotonic and independence.