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A general type-2 fuzzy set induced single trial P300 detection

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
P300 is one of the most widely studied event-related potentials. Unfortunately, most of the existing automatic P300 detection schemes require computations over repetitive trials in both training and recognition phases. Several attempts have recently been endeavored towards the single trial detection of the P300 signals.
Tanuka Bhattacharjee   +4 more
openaire   +1 more source

Emotion recognition from facial expression using general type-2 fuzzy set

2011 International Conference on Recent Trends in Information Systems, 2011
Facial expression of a person representative of similar emotions is not always unique. Naturally, the facial features of a subject taken from different instances of the same emotion have wider variations. In presence of two or more facial features, the variation of the attributes together makes the emotion recognition problem more complicated.
Anisha Halder   +4 more
openaire   +1 more source

On characterization of generalized interval type-2 fuzzy rough sets

Information Sciences, 2013
This paper presents a systematic study of interval type-2 fuzzy rough sets integrating rough set theory with interval type-2 fuzzy set theory using constructive and axiomatic approaches. From the perspective of a constructive approach, a pair of lower and upper interval type-2 fuzzy rough approximation operators with respect to an interval type-2 fuzzy
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A new recursive type-reduction procedure for general type-2 fuzzy sets

2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011
There is growing interest in the area of general type-2 fuzzy systems, with a increasing number of representations and approaches emerging which attempts to achieve the perceived benefits of type-2 systems without requiring the prohibitive level of computational expense.
Carmel Gafa, Simon Coupland
openaire   +1 more source

Z-Number Clustering Based on General Type-2 Fuzzy Sets

2018
Clustering is a convenient tool to extract or summarize information from large data sets. Data sets collected by modern information systems are constantly increasing in size. These data sets may include imprecise and partially reliable information. Usually this uncertainty is both probabilistic and fuzzy.
Rafik Aliev, Babek Guirimov
openaire   +1 more source

Hierarchical collapsing method for direct defuzzification of general type-2 fuzzy sets

Information Sciences, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Doostparast Torshizi, Abolfazl   +1 more
openaire   +2 more sources

Shadowed Fuzzy Sets: A Framework with More Freedom Degrees for Handling Uncertainties Than Interval Type-2 Fuzzy Sets and Lower Computational Complexity Than General Type-2 Fuzzy Sets

2013
In this chapter, the concept of Shadowed Fuzzy Set is introduced and some of its related operations are studied. Shadowed Fuzzy Set enables localization of the underlying uncertainty of fuzzy grades in type-2 fuzzy sets through exploitation of shadowed sets.
Hooman Tahayori, Alireza Sadeghian
openaire   +1 more source

An approach for the generation and adaptation of zSlices based general type-2 fuzzy sets from interval type-2 fuzzy sets to model agreement with application to Intelligent Environments

International Conference on Fuzzy Systems, 2010
In this paper, we present a novel technique to generate zSlices based general type-2 fuzzy sets using a series of interval type-2 fuzzy sets based around the notion of "agreement" of interval type-2 fuzzy sets. We provide details on how this approach can be applied for a series of readily available interval type-2 fuzzy sets as well as how the proposed
Christian Wagner, Hani Hagras
openaire   +1 more source

Toward General Type-2 Fuzzy Logic Systems Based on Shadowed Sets

2017
This paper presents a novel methodology to obtain the shadowed set for all the secondary membership functions embedded in a general type-2 membership function. In this paper we present an approach to obtain the shadowed set for a Triangular and a Gaussian membership function.
Claudia I. Gonzalez   +4 more
openaire   +1 more source

Secondary membership evaluation in Generalized Type-2 Fuzzy Sets by evolutionary optimization algorithm

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013
In this paper, a novel design method of Generalized Type-2 Fuzzy Set (GT2FS) is proposed. The GT2FS involves the secondary memberships for individual primary membership curve, which is obtained here by formulating and solving an optimization problem. To accomplish this, we have used Differential Evolution.
Pratyusha Rakshit   +3 more
openaire   +1 more source

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