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Fuzzy-AI model and big data explorationa methodological philosophy in solving problems in digital era /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy-AI model and big data explorationby Shaopei Lin.
Reminder of title:	a methodological philosophy in solving problems in digital era /
Author:	Lin, Shaopei.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2022.
Description:	xvii, 342 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence.
Online resource:	https://doi.org/10.1007/978-3-662-56339-7
ISBN:	9783662563397$q(electronic bk.)

Fuzzy-AI model and big data explorationa methodological philosophy in solving problems in digital era /
Lin, Shaopei.

Fuzzy-AI model and big data explorationa methodological philosophy in solving problems in digital era /[electronic resource] :by Shaopei Lin. - Berlin, Heidelberg :Springer Berlin Heidelberg :2022. - xvii, 342 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783662563397$q(electronic bk.)

Standard No.: 10.1007/978-3-662-56339-7doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335 / .L55 2022

Dewey Class. No.: 006.3

Fuzzy-AI model and big data explorationa methodological philosophy in solving problems in digital era /
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505 0 $a 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.
520 $a 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.
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