@misc{10818/37199,
year = {2015},
url = {http://hdl.handle.net/10818/37199},
abstract = {The substantial amounts of information that must be gathered, preserved, and used to analyse environmental and ecological impacts on seaports such as the international standards, deserve a direct way to manage and improve those impacts in a seaport through a systematic environmental management system (EMS). We present an artefact called the conceptual intelligent decision-making support module (i-DMSS) to enhance cooperative seaport decision-making (COSEADM) in environmental and ecological sustainability. Three interrelated activities of data collection, descriptive and normative modelling, incorporate processes of handling the decision-making side and processes integrating engineering requirements to produce the conceptual i-DMSS module. We include two data-driven models to handle the decision-making side of this module and automatically induce domain knowledge. Besides, we deploy and standardise the data-driven models and use the Predictive modelling markup language (PMML) to show advantages of data interoperability. Finally, we offer the rationale of the ontological process to anticipate and provide illustration of how to describe concepts in regard to COSEADM for environmental and ecological sustainability. This module demonstrates how the capture and interoperation of information and decisional structures can be managed.},
publisher = {International Conference on Computational Logistics: Computational Logistics},
title = {Computational Intelligence to Support Cooperative Seaport Decision-Making in Environmental and Ecological Sustainability},
doi = {10.1007/978-3-319-24264-4_35},
author = {Halabi Echeverry, Ana Ximena and Montoya Torres, Jairo Rafael and Richards, Deborah and Obregón Neira, Nelson},
}