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  • Produktbild: Integrated Uncertainty in Knowledge Modelling and Decision Making
  • Produktbild: Integrated Uncertainty in Knowledge Modelling and Decision Making
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Integrated Uncertainty in Knowledge Modelling and Decision Making 8th International Symposium, IUKM 2020, Phuket, Thailand, November 11–13, 2020, Proceedings

Aus der Reihe Lecture Notes in Artificial Intelligence

89,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.11.2020

Abbildungen

XIV, 432 p. 131 illus., 76 illus. in color.

Herausgeber

Van-Nam Huynh + weitere

Verlag

Springer

Seitenzahl

432

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

674 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-62508-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.11.2020

Abbildungen

XIV, 432 p. 131 illus., 76 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

432

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

674 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-62508-5

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Integrated Uncertainty in Knowledge Modelling and Decision Making
  • Produktbild: Integrated Uncertainty in Knowledge Modelling and Decision Making
  • Uncertainty Management and Decision Support.- Outcome Range Problem in Interval Linear Programming: An Exact Approach.- Weak and Strong Consistency of an Interval Comparison Matrix.- The Facility Location Problem with a Joint Probabilistic Constraint.- The Advantage of Interval Weight Estimation over the Conventional Weight Estimation in AHP in Ranking Alternatives.- Decision Support Framework for Composing of Different Questionnaires based on Business Model with Optimization.- Algorithms for Generating Sets of Gambles for Decision Making with Lower Previsions.- PM 2.5 Problem in Chiang Mai, Thailand: The Application of Maximizing Expected Utility with Imbalanced Loss Functions.- Identification of the Direct and Indirect Drivers of Deforestation and Forest Degradation in Cambodia.- Unit Commitment Problem in the Deregulated Market.- Risk Impact Assessment and Prioritization in Multimodal Freight Transportation Systems.- Machine Learning.- Dynamic Features Spaces and Machine Learning: Open Problems and Synthetic Data Sets.- An Evidential Reasoning Framework for User Profiling Using Short Texts.- Basic Consideration of Co-clustering Based on Rough Set Theory.- Rank Estimators for Robust Regression: Approximate Algorithms, Exact Algorithms and Two-stage Methods.- A New Classification Technique Based on The Combination of Inner Evidence.- SOM-Based Visualization of Potential Technical Solutions with Fuzzy Bag-of-Words Utilizing Multi-view Information.- Machine Learning Applications.-  Relative Humidity Estimation Based on Two Nested Kalman Filters with Bicubic Interpolation for Commercial Cultivation of Tropical Orchids.- Customized Dynamic Pricing for Air Cargo Network via Reinforcement Learning.- Analysis of the Determinants of CO2 Emissions: A Bayesian LASSO Approach.- Comparison Between Original Texts and Their Revisions to Improve Foreign Language Writing.- Motion Time Study with Convolutional Neural Network.- Unsupervised Change Detectionin Multi-temporal Satellite Images Based on Structural Patch Decomposition and k-means Clustering for Landslide Monitoring.- Nowcasting and Forecasting for Thailand's Macroeconomic Cycles Using Machine Learning Algorithms.- Econometric Applications.- Dependence of Financial Institutions in China: An Analysis Based on FDG Copula Model.- Evaluation and Forecasting of Functional Port Technical Efficiency in ASEAN-4.- A Spatial Analysis of International Tourism Demand Model: the Exploration of ASEAN Countries.- Measurements of the Conditional Dependence Structure Among Carbon, Fossil Energy and Renewable Energy Prices: Vine Copula Based GJR-GARCH Model.- Prediction of Closing Stock Prices using the Artificial Neural Network in the Market for Alternative Investment (MAI) of the Stock Exchange of Thailand (SET).- Estimating Fish Dispersal using Interval Estimations for the Single Variance of a Delta-Lognormal Distribution.- Statistical Methods.- Bayesian Confidence Intervals for Means of Normal Distributions with Unknown Coefficients of Variation.- Confidence Intervals for the  Difference between the Coefficients of Variation of Inverse Gaussian Distributions.- Methods for Testing the Difference between Two Signal-To-Noise Ratios of Log-Normal Distributions.- Generalized Confidence Interval of the Ratio of Coefficients of Variation of Birnbaum-Saunders Distribution.- Confidence Interval for Coefficient of Variation of Inverse Gamma Distributions.- The Bayesian Confidence Interval for the Mean of the Zero-inflated Poisson Distribution.