Fuzzy crop planning problem based on possibility measure

Takeshi Itoh; Hiroaki Ishii

doi:10.1109/FUZZ.2001.1008879

Fuzzy crop planning problem based on possibility measure

Takeshi Itoh, Hiroaki Ishii

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

In agricultural management, it is so significant that farms parcel their lands for some crops. Usually, since the total profits of the farms are described as linear functions, we can obtain an optimal crop plan by solving a simple linear programming problem. But as the profit coefficients for crops are fixed after the harvest-time, we should treat them as uncertain values in the sowing period. In this paper, we consider the Crop Planning Problem where the profit coefficients for crops are fuzzy numbers.

Original language	English
Article number	48
Pages (from-to)	1227-1230
Number of pages	4
Journal	IEEE International Conference on Fuzzy Systems
Volume	3
DOIs	https://doi.org/10.1109/FUZZ.2001.1008879
Publication status	Published - 2001
Externally published	Yes

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/FUZZ.2001.1008879

Cite this

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author = "Takeshi Itoh and Hiroaki Ishii",

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AB - In agricultural management, it is so significant that farms parcel their lands for some crops. Usually, since the total profits of the farms are described as linear functions, we can obtain an optimal crop plan by solving a simple linear programming problem. But as the profit coefficients for crops are fixed after the harvest-time, we should treat them as uncertain values in the sowing period. In this paper, we consider the Crop Planning Problem where the profit coefficients for crops are fuzzy numbers.

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Fuzzy crop planning problem based on possibility measure

Abstract

ASJC Scopus subject areas

UN SDGs

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