Results 21 to 30 of about 7,473 (162)
Ingeniería, 2015 A special kind of Linear Programming (LP) problems involve linguistic uncertainty that can be represented by Interval Type-2 Fuzzy numbers using the extension principle for fuzzy sets.
Juan Carlos Figueroa
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New Order on Type 2 Fuzzy Numbers
Axioms, 2017 Since Lotfi A. Zadeh introduced the concept of fuzzy sets in 1965, many authors have devoted their efforts to the study of these new sets, both from a theoretical and applied point of view. Fuzzy sets were later extended in order to get more adequate and
Pablo Hernández +3 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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International Journal of Computational Intelligence Systems, 2022 While type-2 fuzzy control has gained a lot of attention in the recent years, several challenges still remain with respect to controller design. The footprint of uncertainty (FoU) plays a very important role in designing type-2 fuzzy controllers, since ...
Ritu Raj, Jung-Min Yang
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Applied Sciences, 2023 The challenges we face in today’s world are increasingly complex, and effectively managing uncertainty when modeling control problems can yield significant benefits.
Cinthia Peraza +3 more
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Interval type-2 fuzzy linear programming problem with vagueness in the resources vector [PDF]
Journal of Mahani Mathematical ResearchOne of the special cases of type-2 fuzzy sets are the interval type-2 fuzzy sets, which are less complicated and easier to understand than T2FSs. In this study, we explore the interval type-2 fuzzy linear programming problem with the resources vector ...
Shokouh Sargolzaei, Hassan Mishmast Nehi
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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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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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Different Types of Entropy Measures for Type-2 Fuzzy Sets
AxiomsIn this work, we consider De Luca and Termini’s notion of non-probabilistic entropy, and we extend some entropy-like measures of the degree of fuzziness to type-2 fuzzy sets.
Luis Magdalena +3 more
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Complexity, 2019 Interval type-2 fuzzy logic systems have favorable abilities to cope with uncertainties in many applications. While the block type-reduction under the guidance of inference plays the central role in the systems, Karnik-Mendel (KM) iterative algorithms ...
Yang Chen
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