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Applying Fuzzy Logic Theory to Agricultural Statistics

Junhui Zhu
Organization: Chiba University

1998 Worldwide Mathematica Conference
Conference location

Chicago, IL

In the analysis of the rate of technical progress, we often encounter this kind of problem: how does one treat the relationship between two kinds of indefinite variables? A practical method for doing so is fuzzy logic. In this paper the rate of technical progress is established using the concept of fuzzy sets, and the model function is linearized to a Cobb-Douglas production function. By using fuzzy linear programming in Mathematica, a highly precise result describing the future direction of the agricultural economy is obtained.

*Mathematics > Foundations of Mathematics > Logic