2017
DOI: 10.3390/axioms6030022
|View full text |Cite
|
Sign up to set email alerts
|

New Order on Type 2 Fuzzy Numbers

Abstract: 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 flexible models of inference processes, where uncertainty, imprecision or vagueness is present. Type 2 fuzzy sets comprise one of such extensions. In this paper, we introduce and study an extension of the fuzzy numbers (type 1), the type 2 generalized fuzzy nu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 40 publications
(71 reference statements)
0
2
0
Order By: Relevance
“…Much research has been conducted on the degree to which an object fulfills a property [5,6], and using rating response scales may become essential in determining said degree of fulfillment, for instance in the definition of fuzzy numbers [7][8][9][10] or linguistic variables [11,12], in graph theory [13][14][15], in determining the intervals resulting in an experton [16,17], or in determining the levels of truth in the forgotten effects theory [18].…”
Section: Introductionmentioning
confidence: 99%
“…Much research has been conducted on the degree to which an object fulfills a property [5,6], and using rating response scales may become essential in determining said degree of fulfillment, for instance in the definition of fuzzy numbers [7][8][9][10] or linguistic variables [11,12], in graph theory [13][14][15], in determining the intervals resulting in an experton [16,17], or in determining the levels of truth in the forgotten effects theory [18].…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, there has been a significant increase of the research on higher order forms of fuzzy logic systems [22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%