Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 7th International Sy Hirosato Seki,Canh Hao Nguyen,Masahiro Inuiguchi Co

沉思的魚

RACE

Conference proceedings 2019pers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; econometrics; machine learning; machine learning applications; and statistical methods..

Stagger

Encephalitis

Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetof decision classes, and define an empirical risk function with an asymmetric loss function consisting of hinge and 0–1 loss functions. Then, we prove that approximations of two decision classes by VC-DRSA correspond to the minimum of the empirical risk function.

護航艦

Markov Switching Beta-skewed-t EGARCHoposed model is not found to outperform all the other models. However, the dominance of MS-Beta-skewed-t-EGARCH for SPY, VGT, and AGG may support the application of the MS-Beta-skewed-t-EGARCH model for some financial data series.

Proponent

Ambiguity Measures for Preference-Based Decision Viewpointst preference-score and minimum ambiguity. We extend existing measures of ambiguity into a multi-dimensional fuzzy setting, and suggest some future lines of research towards measuring the coherence or (ir)rationality of viewpoints, exploring the use of information measures in the context of preference learning.

interrupt

GY MEDIC: Analysis and Rehabilitation System for Patients with Facial Paralysisrcises and monitors the patient’s progress during therapy, for this purpose, a 3D virtual environment was developed that tracks the patient’s facial gestures and, through these, directs a series of activities supported in the physical rehabilitation processes.

Heretical

Revealed Preference for Network Design in Bilevel Linear Programmingms of the representative follower, in our case a convex polyhedron, we can apply this framework to the bilevel optimization and formulate this sequential decision problem as a maximin problem which is the centralized decision problem of the leader in our network flow model.

使增至最大

Rule Induction Based on Rough Sets from Possibilistic Data Tablesxpressed in an interval and an object also supports rules with a degree expressed in an interval value. Furthermore, a criterion is introduced to judge whether or not an object is regarded as validly supporting rules.

EWE

An Econometric Study of Inbound Tourism Demand in Hong Kong, Macao and Taiwan: A Case Study of Mainlhe seasonality is significant and negative effect in the first quarter. We suggest that launch products suitable for the Spring Festival family tour to attract tourists to travel with their families. We also found that the ARDL-SUR model is more robust than traditional ARDL model in this study.