Fractality and Decision Making Processes: A Proposed Applied Approach &ndash; A case study

Gentil Silva II; Bruno Rodrigues; Pâmella Oliveira; Juliano Silva; Enio Costa

Article Details

Fractality and Decision Making Processes: A Proposed Applied Approach – A case study

Authors:

Gentil Silva II | Bruno Rodrigues | Pâmella Oliveira | Juliano Silva | Enio Costa

Publisher:

AENSI (American-Eurasian Network for Scientific Information)

Journal:

Australian Journal of Basic and Applied Sciences Vol.14 Issue 6, pp.1-4

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001858069

pISSN:

1991-8178

Abstract:

 Background: The study of mathematical tools correlated with fractal geometric aspects and decision making processes. Some applications other than this are already investigated in the literature (Hernández et al. 2019; Iliasov et al. 2019; Turvey et al. 2019; Kim et al. 2007; Roberts and Turcotte, 1998). The idea is innovative and we generated it after a brainstorming meeting. Objective: The objective of this paper is to propose a subjective tool for data collection about family agricultural production. Due to the low educational level of these Brazilian families, the use of more robust analysis tools becomes unviable, ineffective and mathematically incompatible with the management of this information. In this perspective, we realized that it would be interesting to create a didactically more accessible tool, and geometrically more coherent with mathematical concepts that provide the decision making process. The main hypothesis of the work is around the difficulty of mapping in communities or groups of empirical entrepreneurship. Due to low education, we realized that the application of usual tools became unviable. For that, we created a geometry-based tool, and from it we can diagnose the business model in question and propose decisions for the business analyzed to increase its efficiency. Thus, we use fractal geometry to understand mathematically how these intelligent data analysis processes can be used due to the complexity of the mathematical model. Results: Using an adapted map, we can list the main points of the business model in question, understanding how we can increase the efficiency of this business. This became possible after analyzing the adapted map using basic knowledge of fractal geometry. We hope that by applying this model, other researchers will be able to use similar concepts to analyze data in situations where those involved have low education or need more primitive interviewing tools. Conclusion: We have created an agro mapping tool and through knowledge of fractal geometry we can measure which strategic decisions we must make, so as to increase the likelihood of success of an amateur business in a community near our institution. The approach proved to be innovative and effective for managing information and mathematically measuring the possibility of success. Through the mathematization of social phenomena, physics proves to be extremely interesting and provides students involved in the project with greater [.

Article Details

Fractality and Decision Making Processes: A Proposed Applied Approach &ndash; A case study

Authors: Gentil Silva II | Bruno Rodrigues | Pâmella Oliveira | Juliano Silva | Enio Costa

Publisher: AENSI (American-Eurasian Network for Scientific Information)

Journal: Australian Journal of Basic and Applied Sciences Vol.14 Issue 6, pp.1-4

Document Type: Article

Publication Date: 1/2020

Document Language: English

Document ID (Org No.): 2001858069

pISSN: 1991-8178

Issues

Fractality and Decision Making Processes: A Proposed Applied Approach – A case study

Authors:

Gentil Silva II | Bruno Rodrigues | Pâmella Oliveira | Juliano Silva | Enio Costa

Publisher:

AENSI (American-Eurasian Network for Scientific Information)

Journal:

Australian Journal of Basic and Applied Sciences Vol.14 Issue 6, pp.1-4

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001858069

pISSN:

1991-8178