Procedure for a Synthetic Index of Institutional Environmental Management: validation with data mining

Abstract

Synthetic indexes are of great importance for decision making. The objective of this article is to apply a procedure for a Synthetic Index of Institutional Environmental Management validated through data mining and Machine Learning techniques. Validation tests of the procedure were applied and a simulation was carried out to verify: the feasibility of its implementation as a contribution to institutional environmental management; to structure, in a logical way, a group of tools for the evaluation of environmental management, as well as to adapt them to institutions with different social objects. As a result, reliable and accurate information is offered on the state of institutional environmental management for the development of strategies and action plans based on the indicators with the greatest impact on environmental management.