Multiobjective strategies for farms, using the Dominance-based Rough Set Approach

Abstract

The objective of this work is to present how the decision support method IMO-DRSA, combining the Interactive Multiobjective Optimization (IMO) with the Dominance-based Rough Set Approach (DRSA), can be efficiently applied in the agricultural sector, in order to determine optimal and sustainable planning strategies for farms. The method, elaborated by Greco, Matarazzo and Slowinski in 2008, is a novelty in the multiobjective optimization sector. Through IMO-DRSA, we found an optimal multiobjective strategy related to the farm planning of our case study, conciliating four different objectives, one of economic and three of environmental nature. Concerning some practical problems for the application of the method in the agricultural sector, availability and completeness of both environmental and economic data represented a crucial aspect. Another important point concerned the level of subjectivity intrinsic in the method.The objective of this work is to present how the decision support method IMO-DRSA, combining the Interactive Multiobjective Optimization (IMO) with the Dominance-based Rough Set Approach (DRSA), can be efficiently applied in the agricultural sector, in order to determine optimal and sustainable planning strategies for farms. The method, elaborated by Greco, Matarazzo and Slowinski in 2008, is a novelty in the multiobjective optimization sector. Through IMO-DRSA, we found an optimal multiobjective strategy related to the farm planning of our case study, conciliating four different objectives, one of economic and three of environmental nature. Concerning some practical problems for the application of the method in the agricultural sector, availability and completeness of both environmental and economic data represented a crucial aspect. Another important point concerned the level of subjectivity intrinsic in the method