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Constructing T–S fuzzy model from imprecise and uncertain knowledge represented as fuzzy belief functions
Year: 2015
Abstract:
interest, i.e., the output observations, can only be imprecise, uncertain, or both. This paper presents a method used to construct T–S fuzzy model when the output is imprecise and uncertain, represented as fuzzy belief function, and then proposes the so...
Mixture data-driven Takagi-Sugeno fuzzy model
Year: 2014
Abstract:
belief function, and then proposes the so-called mixture data-driven T-S fuzzy model, among which, the consequents are identified by using a novel fuzzy evidential Expectation-Maximization (EM) algorithm and the antecedents are automatically constructed...
The research of new cascade bridgeless multi-level rectifier
Publisher: IEEE
Year: 2014
Self-assembling sensors for printable machines
Publisher: IEEE
Year: 2014
Fairness and throughput balancing via power control in wireless backhaul networks
Publisher: IEEE
Year: 2014
Near-optimal spectrum allocation in multi-tier cellular networks with random inelastic traffic
Publisher: IEEE
Year: 2014
Radar cross section analysis for an ogive target
Publisher: IEEE
Year: 2014
Novel square root algorithm and its FPGA implementation
Publisher: IEEE
Year: 2014
Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions
Publisher: IEEE
Year: 2014