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- W2598891606 abstract "Nowadays, the need to increase agricultural production has becomes a challenging task for most of the countries. Generally, there are many resource factors which affect the deterioration of production level, such as low water level, desertification, soil salinity, low on capital, lack of equipment, impact of export and import of crops, lack of fertilizers, pesticide, and the ineffective role of agricultural extension serviceswhich are significant in this sector. The main objective of this research is to develop fuzzy goal programming (FGP) model to improve agricultural crop production, leading to increased agricultural benefits (more tons of produce per acre) based onthe minimization of the main resources (water, fertilizer and pesticide) to determine the weight in the objectives function subject to different constraints (land area, irrigation, labour, fertilizer, pesticide, equipment and seed). FGP and GP were utilized to solve multi-objective decision making problems (MODM). From the results, this research has successfully presented a new alternative method which introduced multi-interval weights in solving a multi-objective FGP and GP model problem in a fuzzy manner, in the current uncertain decision making environment for the agricultural sector. The significance of this research lies in the fact that some of the farming zones have resource limitations while others adversely impact their environment due to misuse of resources. Finally, the model was used to determinethe efficiency of each farming zone over the others in terms of resource utilization." @default.
- W2598891606 created "2017-04-07" @default.
- W2598891606 creator A5024826394 @default.
- W2598891606 date "2016-01-01" @default.
- W2598891606 modified "2023-09-26" @default.
- W2598891606 title "The improvement of strategic crops production via a goal programming model with novel multi-interval weights" @default.
- W2598891606 hasPublicationYear "2016" @default.
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