Mean-variance analysis of agricultural management based on a Boltzmann Machine

Takayuki Kawaura, Junzo Watada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a method to decide a strategic planting in Agricultural. This method decides which crops should be planted and how much area should be assigned to each of the crops in order to secure a steady income in agricultural management. This means to minimize the risk of the profits and to maximize the expected interest. In this analysis, we employ a mean-variance analysis to deal with this problem, which has been proposed by H. Markowitz. We employ a Boltzmann Machine to solve a mean-variance model. In a numerical discussion, we employ the cost data of vegetable production in Nagano Prefecture.

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Volume2
Publication statusPublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea
Duration: 1999 Aug 221999 Aug 25

Other

OtherProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
CitySeoul, South Korea
Period99/8/2299/8/25

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ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

Cite this

Kawaura, T., & Watada, J. (1999). Mean-variance analysis of agricultural management based on a Boltzmann Machine. In IEEE International Conference on Fuzzy Systems (Vol. 2). IEEE.