SELECTION OF PLANTING OF CROPS BY ROTATION USING TOPSIS METHOD
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Abstract
This paper depicts the possibility of multiple criteria decision making methods in agricultural enterprise decisions. The success of every organization depends among other things on the ability to make the right decision. What is more important for making the optimal decision is the necessity to analyse the decision problem in detail from various points of view. This case study shows the application of the multiple attribute analysis methods in the planning and creation of crop rotation in an agricultural enterprise. Using entropy weight in TOPSIS method, a comprehensive evaluation is done on the development level of crops in rotation.
Keywords: Entropy, TOPSIS, Multi Criteria Decision Making
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Chen Qizheng, He Hui, Liu Bolin, Wang Peng and Zhang Shuchang, The study of sports industry competitiveness of six provinces in Central China based on entropy weight and TOPSIS integration, Journal of Chemical and Pharmaceutical Research, 6(3),755-763,(2014)
Hwang., C. L., and Yoon K., Multiple Attribute Decision Making Methods and Applications, Springer Verlag, Berlin Heidelberg New York,(1981).
Hsu P. F., Hsu M. G., “Optimizing the information outsourcing practices of primary care medical organizations using Entropy and TOPSISâ€, Quality & Quality, 42,181-201, (2008).
KshitijDashore, Shashank Singh Pawar, NagendraSohani, Devendra Singh Verma, Production Evaluation Using Entropy and Multi Criteria Decision Making Methods, International Journal of Engineering Trends and Technology(IJETT),4(5),2183-2187,(2013).
Linkov, I., Satterstrom, F. K., Kiker, G., Seager, T. P., Bridges, T., Gardner, K. H., Multicriteria decision analysis: A comprehensive decision approach for management of contaminated sediments. Risk Analysis, 26, 61-78(2006).
Lynam, T., de Jong, W., Sheil, D., Kusumanto, T., Evans, K., A review of tools for incorporating community knowledge, preferences, and values into decision making in natural resources management. Ecol. and Soc., 12(1), 5, (2007).
Martin Matejcek, Helena Brozova, Multiple attributes analysis of vegetable production, Mathematics and Computers in Biology, Business and Accoustics.
Morteza Pakdin Amiri, Project selection for oil-fields development by using AHP and fuzzy TOPSIS methods,Elsevier,(2010).
Nan Li, Ying Wang, Measuring the Development Level of Chinese Regional Service Industry: An Empirical Analysis based on Entropy Weight and TOPSIS, World Academy of Science Engineering and Technology,6,08-26,(2012).
Tetteh Akyene, Cell Phone Evaluation Base on Entropy and Topsis, Interdisciplinary Journal of Research in Business, 1(12),9-15,(2012).
Yurdakul M., le Y. T., “Development of a performance measurement model for manufacturing companies using AHP and TOPSIS approachesâ€, International Journal of Production Research,43(21),4609-4641,(2005).