Computing with words with ANFIS to evaluate the organizational efficiency
This paper discusses why numeric values cannot be easily assigned to the organization components, as the use of linguistic variables that are difficult to be accurately measured by traditional methods. For this reason, a novel method is presented to evaluate the efficiency of an organization through...
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| Main Authors: | , , |
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| Format: | Online |
| Language: | spa |
| Published: |
Universidad Autónoma de Tamaulipas
2020
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| Online Access: | https://educiencia.uat.edu.mx/index.php/Educiencia/article/view/184 |
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| Summary: | This paper discusses why numeric values cannot be easily assigned to the organization components, as the use of linguistic variables that are difficult to be accurately measured by traditional methods. For this reason, a novel method is presented to evaluate the efficiency of an organization through soft computing models, such as the Neuro-Diffuse Adaptive Network (ANFIS) and the computing with words that are capable of doing so by transforming linguistic data into numerical data and vice versa. The field of research includes a basic review of the literature and a thoughtful posture of the researchers. The main objective is to develop and test a model to evaluate the efficiency of the organization supported by artificial intelligence techniques such as the adaptive fuzzy inference network (ANFIS). The proposal is relevant given that today there is no consensus among the different experts in the different fields of science of what the organization is. It is concluded that an engineering definition is necessary because the concept requires a mathematical approximation given the lack of consensus, the complexity of it, the non-linearity and uncertainty generated by the use of natural language and the lack of efficiency assessment models. |
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