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2022 | Book

Introduction to Digital Era Read chapter Read first chapter

Fuzzy-AI Model and Big Data Exploration

A Methodological Philosophy in Solving Problems in Digital Era

Author: Shaopei Lin

Publisher: Springer Berlin Heidelberg

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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About this book

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.

Table of Contents

Frontmatter
Chapter 1. Introduction to Digital Era
Abstract
In this chapter, the characteristics of the digital era are introduced, it shows that all the information, which is the essentials of every event reflected from the objective world, will be in digital form and to transfer through the Internet platform. For maninpulating the events in front of us, one needs to handle the events by means of his/her knowledge and intelligence; however, in the digital era, human intelligence usually can be expressed by “subjective information”, which is digitized through immense fuzzy information processing capability of human being, that is why our discussion will be closely related to fuzzy logic and fuzzy reasoning to fulfill the digitization of human knowledge and intelligence, and that is why the concept of “Fuzzy-AI” model is initiated. Under such considerations, using this model for digitizing the intelligence of humans through subjective information, this chapter will fully use it as a philosophical methodology in the digital era for complex real-world problem-solving in various fields.
Shaopei Lin
Chapter 2. Fuzzy-AI Model
Abstract
Fuzzy-AI Model is an efficient approach of information digging treatment combined with artificial intelligence and fuzzy information technology. Since AI can be understood as using a computer to simulate human intelligence, yet the latter one is nothing better than the immense capability of massive fuzzy information processing. Therefore, the combination of AI and fuzzy information processing will have a broad perspective for applied information technology. The majority of practical problems in nature, in society and in engineering essentially possess uncertainty, and the problem solution is not only to make a qualitative judgment, but also the quantitative evaluation, and in this point, the fuzzy set theorem can be fully adaptable. Therefore, the introduction of the Fuzzy-AI Model may explore a new approach of solving non-structured problems by means of AI.
Shaopei Lin
Chapter 3. Theoretical Adaptability of Fuzzy Approach
Abstract
The purpose of this chapter is focused on the verification on the theoretical basis of the fuzzy approach. It seems necessary to explain the rationality of appropriateness in using this mathematical tool for exploring the implicit nature of objective events, especially for those non-structured problems. Starting from the theoretical basis of uncertain events and fuzziness of the objective world, uncertainties are classified and its fuzzy reasoning will be discussed with an algorithmic rule; furthermore, the special techniques concerning fuzzy reasoning such as interval analysis, α-cut representation of membership function and vertex method were studied. In order to guide the practical application of the techniques, several examples of fuzzy membership functions have been presented in detail.
Shaopei Lin
Chapter 4. Fuzzy Analytic Hierarchy Process (FAHP)
Abstract
To explore the internal law of objective complicated events, one builds a factor chat and offers weights among them, and uses the “Analytic Hierarchy Process (AHP)” method for determining the quantitative relationship between the factors and main attributes to represent the internal law of the event. However, the subjective information during the “pair comparison” some time will cause uncontrollable mistakes in the evaluation. In order to improve this drawback, the fuzzy theorem is introduced in AHP and formed as FAHP, which may cordially improve the assessment, decision-making, and prediction of the implicit complicated events of the objective world.
Shaopei Lin
Chapter 5. Fuzzy Reasoning Method for Comprehensive Evaluation
Abstract
To explore the internal law of objective events is the ultimate purpose of the human being for understanding the outside world. Toward this end, comprehensive evaluation through fuzzy reasoning is a generalized approach for achieving our goal with constraint compatibility, such as certain code restrictions in engineering practice. The structural type selection example shows the internal law of design philosophy for alternative choice; lastly, the classification of intelligent residential zone shows the fuzzy reasoning method can extend its areas of solvability to such generalized social events.
Shaopei Lin
Chapter 6. Fuzzy Machine Learning Methods
Abstract
This chapter is dealing with the theoretical basis of machine learning, especially by fully utilizing fuzzy set theorem to approach our goals and it must be manipulated in a practical and implementable way.
Shaopei Lin
Chapter 7. Fuzzy-AI Models for Optimization of Complex System
Abstract
In our daily life, people will encounter plenty of practical problems, which are a series of complicated system with its explicit and implicit natures. As the volatility, uncertainty, complexity and ambiguity features of objective world.
Shaopei Lin
Chapter 8. Fuzzy-AI Model for Decision-Making
Abstract
As for project management, it can be simply expressed as “For approaching certain purpose(s) to make a series of decisions under uncertain environment”.
Shaopei Lin
Chapter 9. Fuzzy-AI Model for Project Risk Management
Abstract
Project risk management in general speaking is project economic risk, which has arising more and more attention to the investors of various projects, it becomes one of the important decision tools as well as supporting evidence for the investors in practice.
Shaopei Lin
Chapter 10. “Fuzzy-AI” Model in Design
Abstract
As the development of rule based expert system (RBES) is constrained by the knowledge acquisition from the domain experts, it seems difficult to develop a design system for practical use since the human being is no longer an ideal knowledge carrier for transfer.
Shaopei Lin
Chapter 11. “Subjective Information” and “Fuzzy-AI Model” for Digital Revolution
Abstract
We are in the era of the digital revolution, which is characterized by “Softening of the theories” and “Hardening of the human experience”.
Shaopei Lin
Chapter 12. Fuzzy-AI Model for Quantitative Project Management
Abstract
This chapter distinguishes the natures of so-called qualitative (empirical) versus quantitative (digital) management and presents the possibility and necessity of adopting quantitative project management in many real-world problems.
Shaopei Lin
Metadata
Title
Fuzzy-AI Model and Big Data Exploration
Author
Shaopei Lin
Copyright Year
2022
Publisher
Springer Berlin Heidelberg
Electronic ISBN
978-3-662-56339-7
Print ISBN
978-3-662-56337-3
DOI
https://doi.org/10.1007/978-3-662-56339-7

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