Fuzzy Reasoning in Information, Decision and Control Systems pdf epub mobi txt 电子书下载 2026

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出版者:Kluwer Academic Pub

作者:Tzafestas, Spyros G. (EDT)/ Venetsanopoulos, Anastasios N. (EDT)/ Tzafestas, Spyros G.

出品人:

页数:587

译者:

出版时间:1994-2

价格:$ 654.27

装帧:HRD

isbn号码:9780792326434

丛书系列:

图书标签:

模糊推理
信息系统
决策系统
控制系统
人工智能
专家系统
模糊逻辑
不确定性推理
机器学习
工程应用

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具体描述

This book is devoted to the study of fuzzy reasoning as applied to decision making and control processes. It contains a collection of important contributions covering a wide well-selected range of topics within the field. The book contains twenty-one papers, written by thirty-four distinguished contributors and is divided into five parts. Part 1 involves four chapters providing background material together with useful techniques for the validation of fuzzy knowledge bases and the software representation of fuzzy sets and fuzzy logic. Part 2 presents an overview of neuro-fuzzy expert systems along with an important case study, and a neural network model which is suitable for fuzzy reasoning. Part 3 presents the state of art of fuzzy controllers, including design and implementation aspects. This part starts with a chapter on the demystification of fuzzy control and includes critical evaluations of fuzzy controllers, along with new types of fuzzy controllers such as the sliding mode fuzzy controller. Part 4 involves a chapter on fuzzy parameter and state estimation, which is of fundamental importance in a variety of applications, a chapter on fuzzy reasoning as used in rule-based systems, and a chapter on computing the multivariable shape of an n-D pattern class. Finally, Part 5 presents six important applications dealing with industrial robotic systems, mechanical systems, manipulators with artificial rubber muscles, Petri nets, biomedical engineering, and nondestructive fruit collection. The book is suitable for the researcher and practitioner, as well as for the teacher and student in related Master and Doctoral courses.

这本书以深入浅出的方式系统地介绍了“模糊推理”这一研究方向，重点关注其在信息处理、决策制定和控制系统中的应用。内容围绕探讨如何通过处理不确定性和模糊数据来提升人工智能与智能系统的性能展开，从理论基础到实际案例，逐步剖析该领域的重要性。书中首先详细解析了模糊逻辑的核心理念及其与传统逻辑、概率方法的区别，同时揭示了这种思维方式在复杂系统中的独特优势。对于读者而言，这不仅是一篇学术著作，更是一份深入浅出的指南，帮助理解如何在面对模糊和不精确信息时，通过智能技术实现更稳健的决策过程。书中特别强调了模糊推理在多种实际场景中的应用价值，包括但不限于医疗诊断、金融风险评估、环境监测以及自动驾驶等领域。这些案例通过具体的数据和实证研究，展示了该方法如何有效解决传统算法难以应对的问题。同时，作者还探讨了模糊系统与人工智能、机器学习技术的融合前景，指出其在提升预测准确性和决策效率方面的重要作用。书中不仅列举了相关理论，还结合最新研究成果，为读者提供了全面的学术视角和实践参考。对于希望深入学习这一领域的读者，这本书是一篇必读之作。它不仅涵盖了模糊推理的基本原理与技术细节，还通过清晰的逻辑结构和丰富的例子，帮助理解复杂问题的解决路径。作者对相关研究方向的展望充满了信心，指出未来有望在更多应用场景中实现突破，并为学术界和产业界提供宝贵的思路与工具。这本书对于具有信息科学、计算机工程或人工智能背景的学习者尤其具有参考价值，它不仅填补了某些领域的理论空白，还激发了读者进一步探索这一前沿主题的兴趣。总体而言，这本书通过系统性地阐述模糊推理的内涵与应用，为读者提供了一种全新的思维工具，使其能够在处理复杂、不确定环境时做出更智能、更精准的判断。它不仅为理论学习奠定坚实基础，也为实际问题解决提供了切实可行的方法。这种内容设计，旨在帮助读者深入理解模糊推理的价值，并将其应用于各个相关领域，为未来的发展开辟新的路径。