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SETSCI - Volume 3 (2018)
ISAS2018-Winter - 2nd International Symposium on Innovative Approaches in Scientific Studies, Samsun, Turkey, Nov 30, 2018

Agricultural Productivity and Planning Problem of Turkey: MultiCriteria Decision Making Based Risk Analysis Model of Turkish Agriculture
M. Fatih Ak1*
1Antalya Bilim University , Antalya, Turkey
* Corresponding author:
Published Date: 2019-01-14   |   Page (s): 1205-1209   |    259     11

ABSTRACT People has learned and has been developing agriculture for years. The surrounding land has become the best way to
use as a result of years of observations. Over the centuries, cities have grown significantly and observable changes in land usage
come up with the help of expanded and developing technology. Although Turkey has a large and suitable for agriculture ,
agricultural activities are gradually decreasing every year. The main reason why people of rural areas migrate rapidly to the cities
and why agricultural activities are decreasing can be explained with the lack of adequate productivity in the production layer;
moreover, fertile soils are not used effectively. As a result of low level of productivity on agriculture, the production of
agricultural products does not meet domestic demand.
Significant amount of funding is planned for future agriculture projects. Nevertheless, the agricultural development in Turkey is
still facing major obstacles due to efficiency. Nowadays significant inflation rate increase of Turkey can be observed. One of the
most important reasons for the serious increase in inflation is the efficiency and planning problems in agricultural items and
activities. This study aims to develop a detailed risk analysis model of whole system to increase productivity and efficiency with
multi criteria decision making methods (MCDM). At the end of study proposed risk analysis model aims to help all kinds of
agricultural products to be planned and to be produced with detailed scientific investigations.  
KEYWORDS Multi criteria decision making methods, Agriculture , Productivity , Risk analysis , Optimization
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