Environmental conflicts in the world have increased, due to the fact that natural resources are being over exploited. In this study, we conducted an environmental conflict analysis using the entropy-weight method, which is based on the Shannon entropy theory that is an approach used within artificial intelligence. The case study was conducted on a hydrocarbon exploration project located in the Gulf of Valencia, Spain. Three stakeholder groups (G1-G3) and four evaluation criteria (C1-C4) were identified. The results revealed that the criteria most likely to generate social conflict between stakeholder groups were the GDP per capita and the percentage of unemployment. These results could help to central government and community authorities to make the best decision to prevent a possible environmental conflict on the project. The entropy-weight method showed interesting results and could be applied to other environmental conflicts. In addition, an advantage of the entropy-weight method is that it considers the uncertainty within its analysis.