Fuzzy controls under various fuzzy reasoning methods
Information Sciences: an International Journal - Application of Fuzzy Set Theory
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
A new fuzzy controller for stabilization of parallel-type double inverted pendulum system
Fuzzy Sets and Systems
Parameter conditions for monotonic Takagi-Sugeno-Kang fuzzy system
Fuzzy Sets and Systems - Fuzzy systems
A proposal of SIRMs dynamically connected fuzzy inference model for plural input fuzzy control
Fuzzy Sets and Systems - Fuzzy control
Anti-swing and positioning control of overhead traveling crane
Information Sciences: an International Journal
On the use of fuzzy inference techniques in assessment models: part I--theoretical properties
Fuzzy Optimization and Decision Making
On the use of fuzzy inference techniques in assessment models: part II: industrial applications
Fuzzy Optimization and Decision Making
On the Monotonicity of Single Input Type Fuzzy Reasoning Methods
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
On the monotonicity of hierarchical sum--product fuzzy systems
Fuzzy Sets and Systems
Inequality relation between fuzzy numbers and its use in fuzzy optimization
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
On the monotonicity of fuzzy-inference methods related to T-S inference method
IEEE Transactions on Fuzzy Systems - Special section on computing with words
A systematic study of fuzzy PID controllers-function-based evaluation approach
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Fuzzy identification using fuzzy neural networks with stable learning algorithms
IEEE Transactions on Fuzzy Systems
On the Generalization of Single Input Rule Modules Connected Type Fuzzy Reasoning Method
IEEE Transactions on Fuzzy Systems
On the Equivalence Conditions of Fuzzy Inference Methods—Part 1: Basic Concept and Definition
IEEE Transactions on Fuzzy Systems
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The single input rule modules connected fuzzy inference method (SIRMs method) can decrease the number of fuzzy rules drastically in comparison with the conventional fuzzy inference methods. However, the inference results obtained by the SIRMs method is generally simple compared with those of the conventional fuzzy inference methods. For example, the SIRMs method may be not equivalent to the product-sum-gravity method and fuzzy singleton-type inference method, if the fuzzy sets of the antecedent parts are limited to normal fuzzy sets. In this paper, we propose a fuzzy singleton-type SIRMs method, which weights the rules of the SIRMs method, in order to solve the above problem. This paper also clarifies the property of the fuzzy singleton-type SIRMs method, from the view point of equivalence and monotonicity. Moreover, the fuzzy singleton-type SIRMs method is shown to be superior to the conventional SIRMs method by applying to a medical diagnosis system.