Showing 2 results for Compromise Programming
J. Torkamani, M. Abdollahi Ezzatabadi,
Volume 9, Issue 3 (10-2005)
Abstract
This study shows how multiobjective programming, compromise programming and filtering techniques could be used to manage scarce resources. Data were collected from a sample of 109 Rafsanjan pistachio producers. The aim of the program was to make a compromise between the objectives of profit maximization, the maximization of the area under pistachio gardens and also maximization of the groundwater use. The multiobjective programming approach and filtering techniques were used to find the efficient set among these objectives. A compromise between the objectives was established by the compromise programming method. Although none of the above three objectives achieved completely in the compromise solution, it became nearer to the ideal point on the assumption that the importance of three objectives was the same. By omitting this assumption and considering the objective weights based on decision maker preferences, the compromise solution might become nearer to the ideal point.
M.rafiy Darani, M. Bakhshoodeh, M. Zibaee,
Volume 11, Issue 40 (7-2007)
Abstract
The main objective of this study was determining the best sprinkler system and ranking total operational sprinkler systems in Isfahan province. The data was collected through 262 questionnaires completed by farmers in Feridan and Semirom cities in Isfahan province. Ranking and comparing the systems were done via criteria matrix and qualitative efficiency of objects and compromise programming. Based on the results of this study, hand-move sprinkler irrigation and then solid-set sprinkler irrigation were found to be the best systems in most of the regions. However, solid-set sprinkler irrigation was the best in some other areas. Results also showed that there were trivial differences between farmer selection in sprinkler irrigation and suitable system in the region. Also, comparison of suitable system and conventional irrigations used by farmers showed that the current systems of farmers are not usually an optimal system.
