1.

Record Nr.

UNINA9910755074803321

Autore

Lin Shaopei

Titolo

Fuzzy Quantitative Management : Principles, Methodologies and Applications / / by Shaopei Lin, Guohua Zhao

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

9789811076886

981107688X

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (179 pages)

Collana

Fuzzy Management Methods, , 2196-4149

Altri autori (Persone)

ZhaoGuohua

Disciplina

658.5

Soggetti

Industrial management

Management

Computational intelligence

Artificial intelligence

Business

Management science

Industrial Management

Computational Intelligence

Artificial Intelligence

Business and Management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.