Topics in Rough Set Theory: Current Applications to Granular Computing
暫譯: 粗集理論主題:當前在粒狀計算中的應用

Akama, Seiki, Kudo, Yasuo, Murai, Tetsuya

相關主題

商品描述

This book discusses current topics in rough set theory. Since Pawlak's rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.


商品描述(中文翻譯)

本書討論了粗集理論中的當前主題。自從 Pawlak 提出的粗集理論以來,該理論為不精確和不確定的數據及數據推理提供了基礎,許多研究者已經探討了其基礎和應用。本書檢視了各種主題問題,包括面向對象的粗集模型、推薦系統、決策表和粒狀計算,是該領域學生和研究者的重要資源。