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Knowledge Representation in Environmental Impact Assessment - A Case of Study with High Level Requirements in Validation.

, and . KEOD, page 412-415. INSTICC Press, (2009)

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Algorithms to extend crisp functions and their inverse functions to fuzzy numbers., , and . Int. J. Intell. Syst., 18 (8): 855-876 (2003)A Constructive Method for Building Fuzzy Rule-Based Systems., , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11 (2): 217-234 (2003)Are artificial neural networks black boxes?, , and . IEEE Trans. Neural Networks, 8 (5): 1156-1164 (1997)Different Approaches to Build Brief Ontologies., , and . IC3K, volume 348 of Communications in Computer and Information Science, page 232-246. Springer, (2011)Building Brief Ontologies - A Case Study for Floods Management., , and . KEOD, page 28-36. SciTePress, (2011)Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks., , , and . IWANN (1), volume 2084 of Lecture Notes in Computer Science, page 285-292. Springer, (2001)Proposal of ontology for environmental impact assessment: An application with knowledge mobilization., and . Expert Syst. Appl., 38 (3): 2462-2472 (2011)Knowledge Mobilization to Support Environmental Impact Assessment - A Model and an Application., , , and . KEOD, page 193-199. SciTePress, (2010)Towards summarizing knowledge: Brief ontologies., and . Expert Syst. Appl., 39 (3): 3213-3222 (2012)Using Artificial Neural Networks to Aid Decision Making Processes., , and . IWANN, volume 540 of Lecture Notes in Computer Science, page 461-468. Springer, (1991)