Fuzzy Systems 2010
DOI: 10.5772/7223
|View full text |Cite
|
Sign up to set email alerts
|

Information Extraction from Text – Dealing with Imprecise Data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 27 publications
0
1
0
Order By: Relevance
“…Bearing in mind how long it is since type-2 fuzzy sets were first proposed by Zadeh (1975), their use remains restricted (Mendel, 2007a). Nevertheless, they have been successfully used in several applications, such as: Controllers (Sepúlveda et al, 2012;Chaoui et al, 2013), industrial applications (Dereli et al, 2011), data mining (Turksen and Celikyilmaz, 2010), image processing and pattern recognition (Melin, 2012;Mitchell, 2005) and in a predictive model for financial applications (Bernardo et al, 2013). In terms of approaches to construction of the membership functions, in the majority of the studies each author develops functions employing the available knowledge (which is dependent on the domain of the application), heuristically or with the help of experts.…”
Section: Methods For Generation Of Type-2 Membership Functionsmentioning
confidence: 99%
“…Bearing in mind how long it is since type-2 fuzzy sets were first proposed by Zadeh (1975), their use remains restricted (Mendel, 2007a). Nevertheless, they have been successfully used in several applications, such as: Controllers (Sepúlveda et al, 2012;Chaoui et al, 2013), industrial applications (Dereli et al, 2011), data mining (Turksen and Celikyilmaz, 2010), image processing and pattern recognition (Melin, 2012;Mitchell, 2005) and in a predictive model for financial applications (Bernardo et al, 2013). In terms of approaches to construction of the membership functions, in the majority of the studies each author develops functions employing the available knowledge (which is dependent on the domain of the application), heuristically or with the help of experts.…”
Section: Methods For Generation Of Type-2 Membership Functionsmentioning
confidence: 99%