Название: Fuzzy- AI Model and Big Data Exploration: A Methodological Philosophy in Solving Problems in Digital EraАвтор: Shaopei Lin
Издательство: Springer
Год: 2022
Страниц: 354
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
“Fuzzy-AI Model” is an efficient tool of information treatment combined and based on fuzzy reasoning and artificial intelligence (AI) for solving the real-world problems. Moreover, due to the inborn deficiency in Big Data searching, the correctness of Big Data prediction will be depended upon whether the completeness of its source data or source information is satisfied, the latter one is usually difficult to be satisfied. Since the source data and source information are characterized in explicit and implicit one, the explicit information can be collected by sensors, detectors or information collectors; however, the implicit information usually exists in people’s mind, which is impossible to obtain by conventional means. For the completeness of source data/information and guaranteeing the correctness of Big Data prediction, one needs to “digging out” these implicit data/information. In this regard, “Fuzzy—AI Model” becomes an effective tool in this job for connecting of Big Data prediction and Big Data exploration.
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.
Contents:
Introduction to Digital Era
Fuzzy-AI Model
Theoretical Adaptability of Fuzzy Approach
Fuzzy Analytic Hierarchy Process (FAHP)
Fuzzy Reasoning Method for Comprehensive Evaluation
Fuzzy Machine Learning Methods
Fuzzy-AI Models for Optimization of Complex System
Fuzzy-AI Model for Decision-Making
Fuzzy-AI Model for Project Risk Management
“Fuzzy-AI” Model in Design
“Subjective Information” and “Fuzzy-AI Model” for Digital Revolution
Fuzzy-AI Model for Quantitative Project Management
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