A CBR-AHP Hybrid Method to Support the Decision-Making Process in the Selection of Environmental Management Actions

Abstract

This paper proposes a Case-Based Reasoning (CBR) system to contribute to reinforce the sustainable performance of an environmental management system. The CBR system aims to support the decision-making process to select environmental management actions aimed at reducing risky trends of the environmental state of a region. The CBR system takes advantage of a set of situation-solution pairs called cases, which are stored in a memory and then retrieved as candidates to solve new problems. Situations in this work are represented by a set of risky trends of the following key environmental variables: CO2 emissions, Air-Quality, Loss of Vegetation Cover, Water Availability, and Solid Waste, whose combination damage the environmental state quality of a region. Meanwhile, solutions are represented by a set of environmental management actions. Similar situations to a given current situation are retrieved from the memory of cases and then their solutions are combined, through an adaptation mechanism, until the solution of the current problem is obtained. We used risky trends derived from real data related to the environmental states of a Mexican region to test the proposed CBR system. The results obtained provided insights into the potential of CBR systems to support the decision-making process to select environmental management actions aimed at reducing risky trends of current environmental states.

Intelligent Brake Controller Based on Intelligent Highway Signs to Avoid Accidents on Algerian Roads

“… When the vehicle receives data, the system compares the category and decides which one concerns it. 2) Operating scenarios on infrastructures: In this subsection, we are going to present the architecture of the proposed decision unit, including the different components involved in its functioning: We suggest using a hybridized CBR method to the AHP method to get an optimal limitation by using the approach described in [30], the decision can be improved by adding an order of priority to the determining factors. we first apply the CBR process during the calculation of the similarity value after, we add the weights and then, we apply AHP to have a more reliable decision.…”