نتایج جستجو برای: interval type 2 fuzzy closure space

تعداد نتایج: 4053197  

Journal: :Cybernetics and Information Technologies 2017

Journal: :IEEE Transactions on Fuzzy Systems 2023

This paper presents some theoretical considerations about the variance of a fuzzy set and introduces covering–based algorithm for computing bounds an interval Type–2 set. The proposed obtains all possible variances unlike other algorithms which are based on center centroid to obtain relative is proven be always bigger than absolute variance. A comparison given through different examples where s...

Journal: :Information Technology Journal 2010

Journal: :EURASIP Journal on Advances in Signal Processing 2016

Journal: :Engineering Applications of Artificial Intelligence 2019

Journal: :International Journal on Soft Computing, Artificial Intelligence and Applications 2019

Journal: :Electronics 2023

Motion drive algorithms are a set of filters designed to simulate realistic motion and an integral part contemporary vehicle simulators. This paper presents the design novel intelligent interval type 2 fuzzy adaptive algorithm for off-road uphill simulator. The off-road, simulator is used train assess driver’s behavior under varying operational environmental conditions in mountainous terrain. p...

Journal: :Soft Comput. 2011
Oscar Castillo Patricia Melin Arnulfo Alanis Garza Oscar Montiel Roberto Sepúlveda

A method for designing optimal interval type-2 fuzzy logic controllers using evolutionary algorithms is presented in this paper. Interval type-2 fuzzy controllers can outperform conventional type-1 fuzzy controllers when the problem has a high degree of uncertainty. However, designing interval type-2 fuzzy controllers is more difficult because there are more parameters involved. In this paper, ...

2009
Simon Miller Viara Popova Robert Ivor John Mario A. Góngora

Planning resources for a supply chain is a major factor determining its success or failure. In this paper we introduce an Interval Type-2 Fuzzy Logic model of a distribution network. It is believed that the additional degree of uncertainty provided by Interval Type-2 Fuzzy Logic will allow for better representation of the uncertainty and vagueness present in resource planning models. First, the...

2002
Robert I John

Type-2 fuzzy sets are growing in popularity as, for certain applications they model uncertainty and imprecision better than type1 fuzzy sets. However, type-2 fuzzy sets can be difficult to understand and explain. Recent work has introduced embedded type-2 fuzzy sets and the Representation Theorem which enable us to discuss type-2 fuzzy sets in a different way. In particular they allow for alter...

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