scholarly journals Ranking Fuzzy Numbers with an Area Method Using Circumcenter of Centroids

2013 ◽  
Vol 5 (1) ◽  
pp. 3-18 ◽  
Author(s):  
P. Phani Bushan Rao ◽  
N. Ravi Shankar
Keyword(s):  
Fuzzy Numbers ◽  
Area Method

scholarly journals Ranking fuzzy numbers with an area method using radius of gyration

2006 ◽  
Vol 51 (6-7) ◽  
pp. 1127-1136 ◽  
Author(s):  
Yong Deng ◽  
Zhu Zhenfu ◽  
Liu Qi
Keyword(s):  
Fuzzy Numbers ◽  
Radius Of Gyration ◽  
Area Method

scholarly journals A Note on Ranking Fuzzy Numbers with an Area Method using Circumcenter of Centroids

2017 ◽  
Vol 9 (2) ◽  
pp. 259-268 ◽  
Author(s):  
Seyed Hadi Nasseri ◽  
Nemataollah Taghi-Nezhad ◽  
Ali Ebrahimnejad
Keyword(s):  
Fuzzy Numbers ◽  
Area Method

Improved five-factor Altman evaluation model credit about the enterprise with economic indicators as fuzzy numbers

2020 ◽  
Vol 7 (1) ◽  
pp. 72-83
Author(s):  
Alevtina Yu. Shatalova ◽  
◽  
Igor V. Shevchenko ◽  
Boureima Bamadio ◽  
Konstantin A. Lebedev ◽  
...  
Keyword(s):  
Fuzzy Numbers ◽  
Evaluation Model ◽  
Economic Indicators

A study on generalized quadrilateral fuzzy numbers

2020 ◽  
Vol S (1) ◽  
pp. 295-298
Author(s):  
Stephen Dinagar D. ◽  
Manvizhi M.
Keyword(s):  
Fuzzy Numbers

Totally Symmetric Type-2 Triangular Fuzzy Numbers

2018 ◽  
Vol 9 (11) ◽  
pp. 1717-1727
Author(s):  
Ajay Minj ◽  
Pathinathan T.
Keyword(s):  
Fuzzy Numbers ◽  
Triangular Fuzzy Numbers

scholarly journals Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 474 ◽  
Author(s):  
Lazaros Moysis ◽  
Christos Volos ◽  
Sajad Jafari ◽  
Jesus M. Munoz-Pacheco ◽  
Jacques Kengne ◽  
...  
Keyword(s):  
Lyapunov Exponent ◽  
Image Encryption ◽  
Fuzzy Numbers ◽  
Statistical Tests ◽  
Logistic Map ◽  
Simple Rule ◽  
Pseudorandom Number ◽  
Bifurcation Diagrams ◽  
Triangular Numbers ◽  
Pseudorandom Number Generation

A modification of the classic logistic map is proposed, using fuzzy triangular numbers. The resulting map is analysed through its Lyapunov exponent (LE) and bifurcation diagrams. It shows higher complexity compared to the classic logistic map and showcases phenomena, like antimonotonicity and crisis. The map is then applied to the problem of pseudo random bit generation, using a simple rule to generate the bit sequence. The resulting random bit generator (RBG) successfully passes the National Institute of Standards and Technology (NIST) statistical tests, and it is then successfully applied to the problem of image encryption.

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