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A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems.

, , and . J. Intell. Fuzzy Syst., 23 (2-3): 71-92 (2012)

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A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems., , , and . FUZZ-IEEE, IEEE, (2013)A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis., , and . IEEE Trans. Reliability, 64 (3): 869-877 (2015)Building monotonicity-preserving Fuzzy Inference models with optimization-based similarity reasoning and a monotonicity index., , and . FUZZ-IEEE, page 1-8. IEEE, (2012)A new fuzzy criterion-referenced assessment with a fuzzy rule selection technique and a monotonicity-preserving similarity reasoning scheme., , and . J. Intell. Fuzzy Syst., 24 (2): 261-279 (2013)Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique., , and . J. Adv. Comput. Intell. Intell. Informatics, 15 (9): 1203-1210 (2011)A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems., , , and . FUZZ-IEEE, page 1-8. IEEE, (2013)Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application., , and . ECMS, page 213-218. European Council for Modeling and Simulation, (2010)Building fuzzy inference systems with similarity reasoning: NSGAII-based fuzzy rule selection and evidential functions., , , and . FUZZ-IEEE, page 2192-2197. IEEE, (2014)A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems., , and . J. Intell. Fuzzy Syst., 23 (2-3): 71-92 (2012)