• DocumentCode
    344664
  • Title

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

  • Author

    Kawaura, Takayuki ; Watada, Junzo

  • Author_Institution
    Osaka Inst. of Technol., Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    22-25 Aug. 1999
  • Firstpage
    1196
  • Abstract
    We propose a method to decide a strategic planting in agriculture. The 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 minimizes 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 (1987). 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.
  • Keywords
    Boltzmann machines; agriculture; management; statistical analysis; Boltzmann machine; Nagano Prefecture; agricultural management; mean-variance analysis; mean-variance model; risk; strategic planting; vegetable production; Agricultural products; Agriculture; Costs; Crops; Decision making; Financial management; Portfolios; Risk analysis; Stress; Supply and demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
  • Conference_Location
    Seoul, South Korea
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-5406-0
  • Type

    conf

  • DOI
    10.1109/FUZZY.1999.793126
  • Filename
    793126