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.
