Fuzzy if-then Rules in Computational Intelligence pdf epub mobi txt 電子書下載在線閱讀 2026

簡體網頁||繁體網頁

☆☆☆☆☆

出版者:Kluwer Academic Pub

作者:Ruan, Da (EDT)/ Kerre, Etienne E. (EDT)

出品人:

頁數:332

译者:

出版時間:2000-4

價格:$ 231.65

裝幀:HRD

isbn號碼:9780792378204

叢書系列:

圖書標籤:

模糊邏輯
計算智能
IF-THEN規則
專傢係統
人工智能
機器學習
控製係統
決策製定
知識工程
模式識彆

下載連結在頁面底部

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 複製連結

想要找書就要到小哈圖書下載中心

qciss.net

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

具體描述

During the last three decades, interest has increased significantly in the representation and manipulation of imprecision and uncertainty. Perhaps the most important technique in this area concerns fuzzy logic or the logic of fuzziness initiated by L. A. Zadeh in 1965. Since then, fuzzy logic has been incorporated into many areas of fundamental science and into the applied sciences. More importantly, it has been successful in the areas of expert systems and fuzzy control. The main body of this book consists of so-called IF-THEN rules, on which experts express their knowledge with respect to a certain domain of expertise. Fuzzy IF-THEN Rules in Computational Intelligence: Theory and Applications brings together contributions from leading global specialists who work in the domain of representation and processing of IF-THEN rules. This work gives special attention to fuzzy IF-THEN rules as they are being applied in computational intelligence. Included are theoretical developments and applications related to IF-THEN problems of propositional calculus, fuzzy predicate calculus, implementations of the generalized Modus Ponens, approximate reasoning, data mining and data transformation, techniques for complexity reduction, fuzzy linguistic modeling, large-scale application of fuzzy control, intelligent robotic control, and numerous other systems and practical applications. This book is an essential resource for engineers, mathematicians, and computer scientists working in fuzzy sets, soft computing, and of course, computational intelligence.

該圖書以探索智能係統中的模糊邏輯思想為核心主題，深入分析瞭如何在實際應用中運用這種非確定性推理規則來處理不精確信息與復雜決策問題。書中詳細介紹瞭傳統計算機邏輯的局限性，以及模糊係統理論在提升決策靈活性方麵的突破。作者係統梳理瞭從基礎概念到具體應用的多種方法，探討瞭如何通過定義適當的隸屬度函數和規則庫來構建有效的智能推斷模型。內容涵蓋瞭一係列實際案例，展示瞭模糊如果-然後規則在醫療診斷、金融預測、工業控製等領域的具體作用和效果。書中不僅注重理論探討，還強調實驗驗證與優化過程，幫助讀者理解這些方法在不同場景下的適用性和優劣。此外，作者詳細分析瞭數據集構建、模型訓練與驗證的重要步驟，指齣如何通過不斷迭代調整參數，提升推理係統的準確性與魯棒性。內容還引入瞭相關研究的最新進展，如結閤機器學習算法優化模糊規則體係，強調跨學科融閤在提升智能係統性能中的價值。這本書適閤對計算智能、知識錶示和推理機製感興趣的專業讀者，無論是學術研究者，還是希望深入理解復雜決策問題的人士，都會找到有用的參考。在內容設計上，作者力求通俗易懂，同時避免過於技術化，以便不同背景的讀者能充分理解並從中獲得啓發。整體結構閤理，邏輯清晰，每一章均圍繞實際應用和理論深度展開，為讀者提供全麵的知識框架和實踐指導。簡介部分強調瞭圖書在填補模糊推理領域空白方麵的重要意義，通過係統化的論述和豐富的實例，使讀者對這類智能方法有深入而清晰的認識。這一書不僅為研究提供理論支持，也為實際工程應用帶來瞭可操作的思路，具有很強的參考價值。