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

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书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making影响因子(影响力)




书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making影响因子(影响力)学科排名




书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making网络公开度




书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making网络公开度学科排名




书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making被引频次




书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making被引频次学科排名




书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making年度引用




书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making年度引用学科排名




书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making读者反馈




书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making读者反馈学科排名

Saline

Integrated Uncertainty in Knowledge Modelling and Decision Making978-3-030-14815-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

纯朴

https://doi.org/10.1007/978-3-030-14815-7artificial intelligence; big data; classification; computer vision; data mining; fuzzy logic; fuzzy sets; f

GUEER

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/468678.jpg

Working-Memory

Scientometric Indices Based on Integrals and Their Adaptation in Different Domainsndex is proposed. Similarly, some other bibliometric indices are represented by means of particular universal integrals, and some new indices are proposed. More, a proposal based on modification of considered monotone measures allowing to compensate differences between particular scientific domains is presented and discussed.

LEVY

Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzificationa convincing justification, and thus, users are sometimes reluctant to use them. In this paper, we show that we can justify (and sometimes even improve) these methods if we use a probability-based approach.

尊重

ADORN

Overtime Assignment and Job Satisfaction in Noise-Safe Job Rotation Schedulingtives: minimizing the total labor cost and maximizing the minimum level of worker satisfaction. Then, a multi-objective optimization technique is applied to find the most suitable compromise solution between the two objectives. The ability of the proposed models to promote worker-satisfaction equality is discussed.

Bereavement

Sampling Strategies for Fuzzy RANSAC Algorithm Based on Reinforcement Learning learning through modeling synthetic data of fuzzy modeling and camera homography experiments. Their results found the proposed ε-roulette strategy to be promising in improving calculation time, model optimality, and robustness in modeling performance.

弄脏

Conference proceedings 2019, IUKM 2019, held in Nara, Japan, in March 2019..The 37 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision suppor