2014
DOI: 10.1016/j.fss.2013.10.012
|View full text |Cite
|
Sign up to set email alerts
|

Fuzzy quantification: a state of the art

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
73
0

Year Published

2015
2015
2020
2020

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 103 publications
(74 citation statements)
references
References 44 publications
1
73
0
Order By: Relevance
“…This element set permits the construction of the simplest type of linguistic descriptions, type-I quantified sentences such as "a few dogs are brown" or "most of the temperatures were hot", which can be computed through the use of a fuzzy quantification model [84]. From this base, the complexity of the linguistic descriptions can be increased by using type-II quantified statements (which model the relationship between two variables) or adding elements such as spatio-temporal references.…”
Section: Elements In a Linguistic Descriptions Of Data Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…This element set permits the construction of the simplest type of linguistic descriptions, type-I quantified sentences such as "a few dogs are brown" or "most of the temperatures were hot", which can be computed through the use of a fuzzy quantification model [84]. From this base, the complexity of the linguistic descriptions can be increased by using type-II quantified statements (which model the relationship between two variables) or adding elements such as spatio-temporal references.…”
Section: Elements In a Linguistic Descriptions Of Data Approachmentioning
confidence: 99%
“…From this base, the complexity of the linguistic descriptions can be increased by using type-II quantified statements (which model the relationship between two variables) or adding elements such as spatio-temporal references. Other approaches are based on the use of type-2 fuzzy sets [85,86]. These allow to define single linguistic labels using different membership functions (e.g.…”
Section: Elements In a Linguistic Descriptions Of Data Approachmentioning
confidence: 99%
“…This theory was further generalized to the fuzzy approach (cf. [9,6,12,30]; a comprehensive overview of fuzzy generalized quantifiers can also be found in [5]). The intermediate quantifiers are special fuzzy generalized quantifiers of type 1, 1 that are isomorphism-invariant, conservative, and have extension properties.…”
Section: Intermediate Quantifiersmentioning
confidence: 99%
“…At the least, we can expect it to work for European languages 4. This logic is called fuzzy type theory (denoted as FTT) and was described in detail in[24] 5. This suggests the idea that EvExpr is, in fact, a fuzzy set.…”
mentioning
confidence: 99%
“…It should be noted, however, that such functions are proposed on the basis of a certain applied problem, and there are not general rules. A very comprehensive review of the quantification of modalities and their fuzzy expression has been given in Delgado et al (2014).…”
Section: Membership Uncertainty and Non-membership Functionsmentioning
confidence: 99%