Results 61 to 70 of about 238,470 (203)
IEEE Access, 2019 General type-2 fuzzy logic systems (GT2 FLSs) have become a hot topic in current academic field. Computing the centroids of general type-2 fuzzy sets (also called type-reduction) is a central block in GT2 FLSs. Recent studies prove the continuous Nie-Tan
Yang Chen
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Applied Sciences, 2023 The main purpose of this research was to introduce a classification method, which combines a rule induction procedure with the Takagi–Sugeno inference model.
Martin Tabakov +2 more
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Type-2 fuzzy linear systems [PDF]
, 2017 Fuzzy Linear Systems (FLSs) are used in practical situations where some of the systems parameters or variables are uncertain. To date, investigations conducted on FLSs are restricted to those in which the uncertainty is assumed to be modeled by Type-1 ...
C Wang +28 more
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Type-2 fuzzy set extension of DEMATEL method combined with perceptual computing for decision making [PDF]
, 2013 Most decision making methods used to evaluate a system or demonstrate the weak and strength points are based on fuzzy sets and evaluate the criteria with words that are modeled with fuzzy sets.
Mitra Hosseini, Mohammad Tarokh
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Type-2 Fuzzy G-Tolerance Relation and Its Properties
International Journal of Analysis and Applications, 2017 In this short communication we generalize the definition of type-2 fuzzy tolerance relation and consequently the type-2 fuzzy G-tolerance relation in type-2 fuzzy sets. The type-2 fuzzy G-tolerance relation helps in finding the type-2 fuzzy G-equivalence
Mausumi Sen +2 more
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Multi-Criteria and Multi-Stage Facility Location Selection under Interval Type-2 Fuzzy Environment: A Case Study for a Cement Factory [PDF]
International Journal of Computational Intelligence Systems, 2015 The study proposes a comprehensive and systematic approach for multi-criteria and multi-stage facility location selection problem. To handle with high and more uncertainty in the evaluation and selection processes, the problem is solved by using multi ...
Ferhan Cebi, İrem Otay
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Experimental Comparison of Type-1 and Type-2 Fuzzy Logic Controllers for the Control of Level and Temperature in a Vessel [PDF]
, 2011 The objective of this experimental study is to compare the performance of type-1 and type-2 fuzzy logic controllers on a real system where the control of liquid level and temperature are considered.
Cao +7 more
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Fuzzy in 3-D: Contrasting complex fuzzy sets with type-2 fuzzy sets [PDF]
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Complex fuzzy sets come in two forms, the standard form, postulated in 2002 by Ramot et al., and the 2011 innovation of pure complex fuzzy sets, proposed by Tamir et al.. In this paper we compare and contrast both forms of complex fuzzy set with type-2 fuzzy sets, as regards their rationales, applications, definitions, and structures. In addition, pure
Sarah Greenfield, Francisco Chiclana
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Journal of Advanced Computational Intelligence and Intelligent Informatics, 1999 This paper provides a detailed review of the important and growing role that fuzzy sets of type-2 play in knowledge representation and inferencing with fuzzy systems. As well as an up-to-date review of the work in this area, examples are provided that demonstrate how type-2 sets can help with both knowledge representation and inferencing.
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On Characterization of Rough Type-2 Fuzzy Sets [PDF]
Mathematical Problems in Engineering, 2016 Rough sets theory and fuzzy sets theory are important mathematical tools to deal with uncertainties. Rough fuzzy sets and fuzzy rough sets as generalizations of rough sets have been introduced. Type-2 fuzzy set provides additional degree of freedom, which makes it possible to directly handle high uncertainties. In this paper, the rough type-2 fuzzy set
Zhao, Tao, Wei, Zhenbo
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