Title :
Mean-variance analysis of agricultural management based on a Boltzmann machine
Author :
Kawaura, Takayuki ; Watada, Junzo
Author_Institution :
Osaka Inst. of Technol., Japan
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;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.793126