Fuzzy-AI Model and Big Data Exploration A Methodological Philosophy in Solving Problems in Digital Era /
Lin, Shaopei.
Fuzzy-AI Model and Big Data Exploration A Methodological Philosophy in Solving Problems in Digital Era / [electronic resource] : by Shaopei Lin. - 1st ed. 2022. - XVII, 342 p. 104 illus., 19 illus. in color. online resource.
Introduction -- Fuzzy-AI Model -- Theoretical Adaptability of Fuzzy Approach -- Fuzzy Machine Learning Method -- Fuzzy Reasoning Method for Comprehensive Evaluation -- Fuzzy-AI Optimization for Complex System -- Fuzzy-AI Model for Decision Making -- Fuzzy-AI Model for Project Risk Management -- “Fuzz-AI” Model in Design -- “Fuzzy-AI” Model in System Reliability -- Conclusive Remarks.
Based on the idea of a universal rule for problem solving, the book suggests that the “System-Fuzzy Approach (SFA)” Model can be applied to various complex real-world problems. It is the first book for problem solving in complicated problems with a universal project management tool. Systematic searching is an essential step in identifying the right direction in problem solving; and the fuzzy steps in concrete problem solving reflect the flexibility and compromises involved in the process. Nevertheless, the fuzzy steps also demonstrate human beings’ impressively flexible problem-solving skills. Simulating human decision-making processes based on fuzzy information processing is essential in our digital era, in which many problems need to be solved by means of artificial intelligence; hence the Fuzzy-AI Model emerged. As a universal rule and tool, it can be applied to a broad range of real-world problems. Offering a valuable guide to fuzzy decision-making, this book is intended for researchers, scientists and graduate students in the fields of Engineering, Economics, Sociology, Managerial Science, Project Management etc.
9783662563397
10.1007/978-3-662-56339-7 doi
Computational intelligence.
Artificial intelligence.
Technology--Philosophy.
Industrial engineering.
Production engineering.
Computational Intelligence.
Artificial Intelligence.
Philosophy of Technology.
Industrial and Production Engineering.
Q342
006.3
Fuzzy-AI Model and Big Data Exploration A Methodological Philosophy in Solving Problems in Digital Era / [electronic resource] : by Shaopei Lin. - 1st ed. 2022. - XVII, 342 p. 104 illus., 19 illus. in color. online resource.
Introduction -- Fuzzy-AI Model -- Theoretical Adaptability of Fuzzy Approach -- Fuzzy Machine Learning Method -- Fuzzy Reasoning Method for Comprehensive Evaluation -- Fuzzy-AI Optimization for Complex System -- Fuzzy-AI Model for Decision Making -- Fuzzy-AI Model for Project Risk Management -- “Fuzz-AI” Model in Design -- “Fuzzy-AI” Model in System Reliability -- Conclusive Remarks.
Based on the idea of a universal rule for problem solving, the book suggests that the “System-Fuzzy Approach (SFA)” Model can be applied to various complex real-world problems. It is the first book for problem solving in complicated problems with a universal project management tool. Systematic searching is an essential step in identifying the right direction in problem solving; and the fuzzy steps in concrete problem solving reflect the flexibility and compromises involved in the process. Nevertheless, the fuzzy steps also demonstrate human beings’ impressively flexible problem-solving skills. Simulating human decision-making processes based on fuzzy information processing is essential in our digital era, in which many problems need to be solved by means of artificial intelligence; hence the Fuzzy-AI Model emerged. As a universal rule and tool, it can be applied to a broad range of real-world problems. Offering a valuable guide to fuzzy decision-making, this book is intended for researchers, scientists and graduate students in the fields of Engineering, Economics, Sociology, Managerial Science, Project Management etc.
9783662563397
10.1007/978-3-662-56339-7 doi
Computational intelligence.
Artificial intelligence.
Technology--Philosophy.
Industrial engineering.
Production engineering.
Computational Intelligence.
Artificial Intelligence.
Philosophy of Technology.
Industrial and Production Engineering.
Q342
006.3