Interval Extension of the Generalized Atanassov’s Intuitionistic Fuzzy Index using Admissible Orders

Author(s):  
Lidiane Costa ◽  
Monica Matzenauer ◽  
Adenauer Yamin ◽  
Renata Reiser ◽  
Benjamin Bedregal
Author(s):  
Renata Hax Sander Reiser ◽  
Benjamin Bedregal

This paper studies the conjugate functions related to main connectives of the Intervalvalued Atanassov’s Intuitionistic Fuzzy Logic. The relationships among automorphism classes are formalized by the ϕ-representability theorem, passing from automorphisms to interval-valued intuitionistic automorphisms, also visiting other two ones, intuitionistic automorphisms and interval-valued automorphisms. Additionally, the ϕ-conjugate of an interval-valued Atanassov’s intuitionistic fuzzy negation can be obtained either from an interval-valued fuzzy negation or from an Atanassov’s intuitionistic fuzzy negation, including a discussion presenting such reverse constructions. The ϕ-conjugate of an interval-valued Atanassov’s intuitionistic fuzzy negation not only preserves the main properties of its corresponding fuzzy negation but also of two other ones, the intuitionistic fuzzy negation and interval-valued fuzzy negation. Moreover, an extension of the intuitionistic fuzzy index as well as the correlation coefficient is discussed in terms of fuzzy negations, by considering the Atanassov’s Intuitionistic Fuzzy Logic.


Author(s):  
Lidiane Costa ◽  
Mônica Matzenauer ◽  
Adenauer Yamin ◽  
Renata Reiser ◽  
Benjamín Bedregal

Author(s):  
HUMBERTO BUSTINCE ◽  
EDURNE BARRENECHEA ◽  
MIGUEL PAGOLA ◽  
JAVIER FERNANDEZ ◽  
CARLOS GUERRA ◽  
...  

In this paper we introduce the concept of Generalized Atanassov's Intuitionistic Fuzzy Index. We characterize it in terms of fuzzy implication operators and propose a construction method with order automorphisms. Finally, we obtain, by means of special aggregation functions applied to the generalized Atanassov's intuitionistic fuzzy index, the Atanassov's intuitionistic fuzzy entropy given by Burillo and Bustince.


Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 366
Author(s):  
Krassimir Atanassov ◽  
Peter Vassilev ◽  
Olympia Roeva

The index matrix (IM) is an extension of the ordinary matrix with indexed rows and columns. Over IMs’ standard matrix operations are defined and a lot of other ones that do not exist in the standard case. Intuitionistic fuzzy IMs (IFIMs) are modification of the IMs, when their elements are intuitionistic fuzzy pairs (IFPs). Extended IFIMs are IFIMs whose indices of the rows and columns are evaluated by IFPs. Different operations, relations and operators over IFIMs, and some specific ones, are defined for EIFIMs. In the paper, twelve new level operators are defined for EIFIMs and in the partial case, over IFIMs. The proposed level operators fall into two groups: operators that change the values of the EIFIM elements and operators that change the IFPs associated to the indices of the rows and columns. The basic properties of the operators are studied.


2020 ◽  
Vol 26 (4) ◽  
pp. 64-70
Author(s):  
R. K. Nivendhaa ◽  
◽  
R. Parvathi ◽  

It is usual in image processing that binary (black & white) and gray images are represented by crisp sets and fuzzy sets respectively. In this paper, an attempt has been made to represent a color image (RGB) using intuitionistic fuzzy index matrices. The objective of this representation is to apply mathematical operators on intuitionistic fuzzy index matrices in processing RGB images.


2017 ◽  
Author(s):  
Rosana Zanotelli ◽  
Lidiane Da Silva ◽  
Miriam Born ◽  
Renata Reiser ◽  
Adenauer Yamin

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