Data-driven decisions: Artificial intelligence-based experimental validation of ocean ecosystem services scale

Figueiredo, Ronnie; Cabral, Pedro

http://hdl.handle.net/10400.8/14852

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Authors

Figueiredo, Ronnie

Cabral, Pedro

Abstract(s)

Several studies address the main topic of research, ecosystem services. It is also proven that decision-making in organizations generally involves a decision-maker, who assumes internal responsibility for the results. However, when the decision is collective, we need to think about the context of governance. How can we increase the sustainable decisions of ocean ecosystem services governance? When this decision is applied to ocean ecosystem services, in particular, we need a parameter. Therefore, the proposed scale is an initial guide for support key decision-makers decisions on the governance of ocean services ecosystems. The scale proposal with validation through classical linear regression, and supported by an artificial neural network, demonstrates the main variables that influence the decision and contribute to possible risk mitigations in terms of decisions.

Keywords

Artificial neural network Decision makers Ecosystem services Governance Measurement Ocean Scale

URI

http://hdl.handle.net/10400.8/14852

Citation

Figueiredo, R., & Cabral, P. Data-driven decisions: Artificial intelligence-based experimental validation of ocean ecosystem services scale. Int J Artif Intell ISSN, 2252(8938), 4179.