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Springer Progress in Intelligent Decision Science IDS 2020 - Volume 1301

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Description

This academic volume explores cutting-edge applications of artificial intelligence and deep learning in real-world decision-making scenarios. The book addresses the critical challenge of making logical decisions under uncertainty, a fundamental concern in applied science and business environments. Contributors examine how vague concepts and uncertain data can be integrated into robust decision frameworks. The collection brings together research on novel approaches to decision making with uncertainty, alongside practical methods for data mining and computation in uncertain conditions. Ideal for researchers, practitioners, and students seeking to understand how AI and intelligent systems can navigate complex, real-life problems where complete information is unavailable.

Key Features

Progress in Intelligent Decision Science volume covers artificial intelligence and deep learning applications for solving real-world decision-making problems.

The book explores decision making under uncertainty, addressing how logical choices emerge from vague concepts and imperfect data.

Contributors present new concepts and research methods for handling uncertain computation in data mining and analytical processes.

Published as volume 1301 in the Advances in Intelligent Systems and Computing series by Springer, ensuring peer-reviewed academic quality.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 January 2021
Listed Since
20 November 2020

Barcode

No barcode data available

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