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Inference in a Fuzzy System Using the Consistence Level of the Rules.

, , , and . ICLP Workshop: Logic and Reasoning with Neural Networks, (1994)

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Different Approaches to Build Brief Ontologies., , and . IC3K, volume 348 of Communications in Computer and Information Science, page 232-246. Springer, (2011)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 . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 11 (2): 217-234 (2003)Are artificial neural networks black boxes?, , and . IEEE Trans. Neural Networks, 8 (5): 1156-1164 (1997)Towards summarizing knowledge: Brief ontologies., and . Expert Syst. Appl., 39 (3): 3213-3222 (2012)Una metodología de construcción de sistemas de clasificación basados en reglas difusas., , and . EUSFLAT-ESTYLF Joint Conf., page 183-186. Universitat de les Illes Balears, Palma de Mallorca, Spain, (1999)Knowledge Mobilization to Support Environmental Impact Assessment - A Model and an Application., , , and . KEOD, page 193-199. SciTePress, (2010)Using Artificial Neural Networks to Aid Decision Making Processes., , and . IWANN, volume 540 of Lecture Notes in Computer Science, page 461-468. Springer, (1991)Asynchronously Parallel Boltzmann Machines Mapped onto Distributed-Memory Multiprocessors., , and . IWANN, volume 930 of Lecture Notes in Computer Science, page 744-751. Springer, (1995)Knowledge Representation in Environmental Impact Assessment - A Case of Study with High Level Requirements in Validation., and . KEOD, page 412-415. INSTICC Press, (2009)