Results 1 to 10 of about 15,144 (135)
The Stratic Defuzzifier for discretised general type-2 fuzzy sets [PDF]
Information Sciences, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Greenfield, Sarah, Chiclana, Francisco
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FUZZY INFERENCE SYSTEMS BASE ON POLYNOMIAL CONSEQUENTS OF FUZZY RULES [PDF]
Scientific Journal of Astana IT University, 2020 Various fuzzy inference systems that operate on the basis of polynomial consequents of fuzzy rules. As well as inference methods for such systems, in particular, Takagi-Sugeno fuzzy inference systems, their differences from other popular fuzzy systems ...
R. Ponomarenko, A. Dyka
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Analysis of the Inequality of Spatial Distribution of Administrative-Disciplinary Services via the Spatial Justice Approach (Case Study: Isfahan Neighborhoods) [PDF]
جغرافیا و برنامهریزی محیطی, 2022 Extended abstract:Introduction: Following the increasing expansion of cities and urban population, the demand for urban services is also increasing. One of the important services in cities is administrative service that meets the citizens’ daily needs ...
Mohammad Hossein Saraei, farzaneh dasta
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IEEE Access, 2022 Studying the block of center-of-sets (COS) type-reduction (TR) for Takagi Sugeno Kang (TSK) inference-based general type-2 fuzzy logic systems (GT2 FLSs) is meaningful for applying the systems.
Yang Chen
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Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets [PDF]
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013 Similarity measures provide one of the core tools that enable reasoning about fuzzy sets. While many types of similarity measures exist for type-1 and interval type-2 fuzzy sets, there are very few similarity measures that enable the comparison of general type-2 fuzzy sets.
McCulloch, Josie +2 more
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Mathematics, 2023 This paper presents (a) a novel hybrid learning method to train interval type-1 non-singleton type-3 fuzzy logic systems (IT3 NSFLS-1), (b) a novel method, named enhanced Wagner–Hagras (EWH) applied to IT3 NSFLS-1 fuzzy systems, which includes the level ...
Gerardo Maximiliano Méndez +4 more
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From Interval-Valued Data to General Type-2 Fuzzy Sets [PDF]
IEEE Transactions on Fuzzy Systems, 2015 In this paper, a new approach is presented to model interval-based data using fuzzy sets (FSs). Specifically, we show how both crisp and uncertain intervals (where there is uncertainty about the endpoints of intervals) collected from individual or multiple survey participants over single or repeated surveys can be modeled using type-1, interval type-2,
Wagner, Christian +4 more
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Complex & Intelligent Systems, 2022 The paper performs the center-of-sets (COS) type-reduction (TR) and de-fuzzification for Takagi–Sugeno–Kang (TSK) type general type-2 fuzzy logic systems (GT2 FLSs) on the basis of the $$\alpha$$ α -planes expression of general type-2 fuzzy sets ...
Yang Chen
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Interval Type-3 Fuzzy Inference System Design for Medical Classification Using Genetic Algorithms
Axioms, 2023 An essential aspect of healthcare is receiving an appropriate and opportune disease diagnosis. In recent years, there has been enormous progress in combining artificial intelligence to help professionals perform these tasks. The design of interval Type-3
Patricia Melin +2 more
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A Fractional Order General Type-2 Fuzzy PID Controller Design Algorithm
IEEE Access, 2020 Fractional order PID controller was received attentions in control problems for it had 2 freedom adjustable parameters. Practices had proved that better results could be obtained by introduction of fractional order PID in control problems.
Jian Zhong Shi
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