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Fuzzy Quantitative Management: Principles, Methodologies and Applications

Fuzzy Quantitative Management

Principles, Methodologies and Applications
 
Edition number: 1st ed. 2023
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
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EUR 160.49
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66 226 HUF (63 072 HUF + 5% VAT)
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Product details:
ISBN13:9789811076879
ISBN10:9811076871
Binding:Hardback
No. of pages:165 pages
Size:235x155 mm
Weight:481 g
Language:English
Illustrations: 37 Illustrations, black & white; 26 Illustrations, color; 20 Tables, color
657
Category:
Short description:

This book is devoted to fuzzy quantitative studies in managerial science, discussing the philosophical background and decision-making essentials. For reference, a series of practical examples illustrate broad areas of application that are important in project risk management problems, and in complicated mega projects. Using computers to simulate human intelligence with fuzzy approaches is the basis of ?Fuzzy-AI model,? which offers an efficient tool capable of simulating human intelligence in order to perform digitized decision inference and quantitative information management.

Long description:

This book is devoted to fuzzy quantitative studies in managerial science, discussing the philosophical background and decision-making essentials. For reference, a series of practical examples illustrate broad areas of application that are important in project risk management problems, and in complicated mega projects. Using computers to simulate human intelligence with fuzzy approaches is the basis of ?Fuzzy-AI model,? which offers an efficient tool capable of simulating human intelligence in order to perform digitized decision inference and quantitative information management.

Table of Contents:
Philosophical Consideration of Quantitative management.- The role of ?Fuzz-AI Model? in Quantitative Management.- The Conceptual Investigation of ?Deep Data? and ?Deep Knowledge?.- Fuzzy Quantitative Risk Management.- Quantitative Studies in Risk Management by Knowledge Engineering.- Fuzzy Quantitative Management in Economics.- Fuzzy Programming Modeling for Decision Making.- The Advances in Quantitative Management in Decision.