Decision making in agriculture with use of fuzzy mathematical models.

Authors

  • M Sc. Eduardo Román Veitia-Rodríguez Centro de Ingeniería Ambiental de Camagüey, CITMA, Cuba.
  • Dr. C. Anselmo Villegas-Zulueta Universidad de Camagüey, Cuba.
  • M Sc. Adelmo Montalbán-Estrada Centro de Ingeniería Ambiental de Camagüey, CITMA, Cuba.
  • M Sc. Orlando Fabelo-Bonet Centro de Ingeniería Ambiental de Camagüey, CITMA, Cuba.

Keywords:

fuzzy logic, hub, overuse syndrome soil biodiversity, agrosistema, big6 model.

Abstract

The benefits of agricultural production for society and its interaction with the environment are subjective or imprecise and it is suitable the application of mathematical models of Fuzzy Logic. You want to describe the possible applications of these tools to decision making in Cuban agriculture. We conducted a literature review and documentary Big6 model was used. It also presents an example, that instructs how to order a set of agro province according to the degree of presence of a group of symptoms of overuse syndrome soil allowing restructuring act to minimize biodiversity Hub. The Fuzzy Logic methods do not require a complicated math and are valid to support decision making in agriculture, provided it is combined with a subjective factual information, it can be seen in the example discussed.

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Published

2013-07-15

How to Cite

Veitia-Rodríguez, M. S. E. R., Villegas-Zulueta, D. C. A., Montalbán-Estrada, M. S. A., & Fabelo-Bonet, M. S. O. (2013). Decision making in agriculture with use of fuzzy mathematical models. Man, Science and Technology, 17(3), 104–112. Retrieved from http://hct.cigetgtmo.co.cu/revistahct/index.php/htc/article/view/489

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