PNL applied to economics

被引：0

作者：

Diaz, B ^{[1
]}

Takagi, T ^{[1
]}

Alptekin, SE ^{[1
]}

机构：

[1] Univ Calif Berkeley, Berkeley Initiat, Berkeley, CA 94720 USA

来源：

FUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLD | 2005年

关键词：

fuzzy logic; computational theory of perceptions; computing with words; elasticity of demand; precisiated natural language;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work is a continuation of Zadeh's research on Precisiated Natural language. Precisiated Natural Language (PNL) provides a system for computation and deduction of propositions expressed in a natural language. The importance of PNL for economics is discussed. The improved process of PNL is presented using a real world example from economics.

引用

页码：149 / 154

页数：6

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