Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning

Fuzzy logic principles, practices, and real-world applications

This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.

Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.

• Serves as a classroom guide and as an on-the-job resource
• Ancillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for students
• Written by an expert in the field and experienced author

《模糊邏輯原理、實踐與實際應用》

這本實用指南清晰解釋了模糊邏輯的原理，並提供了實際應用和真實世界的例子。由一位屢獲殊榮的工程師撰寫，《模糊邏輯：在人工智慧、大數據和機器學習中的應用》旨在提高學生和專業人士的能力和動機。

在這本書中，您將了解如何在普遍數字化和大數據的背景下應用模糊邏輯，這需要與工程、科學、經濟和社會科學中以前使用的人機關係非常不同的新興技術。涵蓋的應用包括具有需求響應的智能能源系統、智能家居、交通電氣化、供應鏈效率、智慧城市、電子商務、教育、醫療保健和脫碳。

本書既可作為課堂指南，也可作為工作中的資源。附帶資源包括樣本課程大綱、帶有答案的測試集，以及學生的額外自學資源。本書由該領域的專家和經驗豐富的作者撰寫。