SOFT COMPUTING AND FUZZY-LOGIC

被引：416

作者：

ZADEH, LA

机构：

[1] Univ of California at Berkeley, Berkely, United States

来源：

IEEE SOFTWARE | 1994年 / 11卷 / 06期

关键词：

D O I：

10.1109/52.329401

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Discusses soft computing, a collection of methodologies that aim to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness, and low solution cost. Its principal constituents are fuzzy logic, neurocomputing, and probabilistic reasoning. Soft computing is likely to play an increasingly important role in many application areas, including software engineering. The role model for soft computing is the human mind. © 1994 IEEE

引用

页码：48 / 56

页数：9

共 15 条

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