Fuzzy Quantitative Management Principles, Methodologies and Applications /

Fuzzy Quantitative Management Principles, Methodologies and Applications /

Bibliographic Details
Main Authors: Lin, Shaopei (Author), Zhao, Guohua (Author)
Corporate Author: SpringerLink (Online service)
Summary:XVIII, 165 p. 63 illus., 26 illus. in color.
text
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Fuzzy Management Methods,
Subjects:
Industrial Management.
Management.
Computational intelligence.
Artificial intelligence.
Business.
Management science.
Computational Intelligence.
Artificial Intelligence.
Business and Management.
Online Access:https://doi.org/10.1007/978-981-10-7688-6
Format: Electronic Book
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.

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