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iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization.

, , , and . IEEE Trans. Fuzzy Syst., 27 (3): 502-514 (2019)

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Intelligent learning and control of autonomous robotic agents operating in unstructured environments., and . Inf. Sci., 145 (1-2): 1-12 (2002)A Fuzzy Embedded Agent-Based Approach for Realizing Ambient Intelligence in Intelligent Inhabited Environment, , and . IEEE Transactions on systems, Man and Cybernetics-Part A: Systems and Humans, 35 (1): 55-65 (01 January,2005)A genetic type-2 fuzzy logic based system for the generation of summarised linguistic predictive models for financial applications., , and . Soft Comput., 17 (12): 2185-2201 (2013)An interval type-2 Fuzzy Logic based system for model generation and summarization of arbitrage opportunities in stock markets., , and . UKCI, page 1-7. IEEE, (2012)Employing Type-2 Fuzzy Logic Systems in the Efforts to Realize Ambient Intelligent Environments Application Notes., , and . IEEE Comput. Intell. Mag., 10 (1): 44-51 (2015)An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce., , , and . Inf. Sci., (2016)Type-2 Fuzzy Logic Controllers: A Way Forward for Fuzzy Systems in Real World Environments.. WCCI, volume 5050 of Lecture Notes in Computer Science, page 181-200. Springer, (2008)Applying FML-Based Fuzzy Ontology to University Assessment., , , , , , , and . On the Power of Fuzzy Markup Language, volume 296 of Studies in Fuzziness and Soft Computing, Springer, (2013)iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization., , , and . IEEE Trans. Fuzzy Syst., 27 (3): 502-514 (2019)TWMAN+: A Type-2 fuzzy ontology model for malware behavior analysis., , , and . SMC, page 2821-2826. IEEE, (2012)