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Advanced learning of fuzzy cognitive maps of waste management by bacterial algorithm.

, , , and . IFSA/NAFIPS, page 890-895. IEEE, (2013)

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Design and Implementation of Enum-Based Services., , , , , and . J. Univers. Comput. Sci., 12 (9): 1128-1138 (2006)Machine learning and fuzzy cognitive maps in a hybrid approach toward freeway on-ramp traffic control., , and . SACI, page 587-592. IEEE, (2023)An intelligent traffic congestion detection approach based on fuzzy inference system., , , and . SACI, page 97-104. IEEE, (2021)Behavioral analysis of fuzzy cognitive map models by simulation., , and . IFSA-SCIS, page 1-6. IEEE, (2017)Using Fuzzy Cognitive Map approach to model the casual relationships in stakeholder management at companies., , , , and . CogInfoCom, page 121-124. IEEE, (2014)Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map., , and . Complex System Modelling and Control Through Intelligent Soft Computations, volume 319 of Studies in Fuzziness and Soft Computing, Springer, (2015)Parameter dependence of fuzzy cognitive maps' behaviour., , and . ASCC, page 1-6. IEEE, (2015)Evaluation of waste management systems using fuzzy cognitive maps and optimization., , , and . ASCC, page 1-6. IEEE, (2015)Using Fuzzy Cognitive Maps approach to identify integrated waste management system characteristics., , and . CogInfoCom, page 141-147. IEEE, (2014)Fuzzy System-Based Solutions for Traffic Control in Freeway Networks Toward Sustainable Improvement., , and . IPMU (2), volume 1602 of Communications in Computer and Information Science, page 288-305. Springer, (2022)