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Springer Uncertainty and Imprecision in Decision Making Book

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Description

Explore the latest developments in computational intelligence with Uncertainty and Imprecision in Decision Making and Decision Support. This academic volume, part of the Lecture Notes in Networks and Systems (Volume 338) series, features selected papers from the BOS-2020 conference. It provides a focused look at new advances, challenges, and perspectives within the field of decision support systems. Designed for researchers and professionals in computer science, this Springer publication addresses how to handle uncertainty and imprecision in complex decision-making processes. The content is specifically tailored for those studying AI and machine learning, offering technical insights into modern computational methodologies. This book serves as a valuable resource for understanding current trends and future directions in decision support technology.

Key Features

Contains selected academic papers from the BOS-2020 conference for up-to-date research insights.

Part of the respected Lecture Notes in Networks and Systems series, volume 338.

Focuses on practical challenges and new perspectives in decision-making environments.

Provides technical depth for specialists in AI, machine learning, and computer science.

Published by Springer to ensure high academic and professional standards.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 February 2022
Listed Since
04 January 2022

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