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Fuzzy-AI Model and Big Data Exploration : A Methodological Philosophy in Solving Problems in Digital Era / by Shaopei Lin

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2022Publisher: Berlin, Heidelberg : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XVII, 342 p. 104 illus., 19 illus. in color.)ISBN:
  • 9783662563397
Subject(s): Additional physical formats: 9783662563373 | 9783662563380 | Erscheint auch als: 9783662563373 Druck-Ausgabe | Erscheint auch als: 9783662563380 Druck-AusgabeDOI: DOI: 10.1007/978-3-662-56339-7Online resources: Summary: 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.Summary: 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.PPN: PPN: 1817569872Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS
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