Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Rakesh Kumar Bajaj"'
Publikováno v:
IEEE Access, Vol 12, Pp 83104-83117 (2024)
Despite the significant advancements in fuzzy set theory, existing similarity measures for complex picture fuzzy sets (CPFSs) often result in impractical results in real-world scenarios. This presents a critical gap in accurately modeling and analyzi
Externí odkaz:
https://doaj.org/article/59af8bff71e94cd2b1eb253de702c083
Autor:
Himanshu Dhumras, Rakesh Kumar Bajaj
Publikováno v:
Neutrosophic Sets and Systems, Vol 55, Pp 265-284 (2023)
Numerous decision science processes involves the divergence measure is the most suitable information measure for dealing with the vagueness and impreciseness of the factors affecting the decision-making models. In this manuscript, a new kind of Helli
Externí odkaz:
https://doaj.org/article/b6f62cc24906433fb814f40cea1d9bcd
Autor:
Mahima Poonia, Rakesh Kumar Bajaj
Publikováno v:
Neutrosophic Sets and Systems, Vol 47, Pp 165-178 (2021)
In this article, a new concept of the Complex Neutrosophic Matrix is introduced to solve different problems related to uncertainties. Based on the proposed matrix, we have provided various algebraic operations like addition, subtraction, union many o
Externí odkaz:
https://doaj.org/article/f77f1ad13ec748ab97928d8f58aeefb0
Autor:
Xingsi Xue, Mahima Poonia, Ghaida Muttashar Abdulsahib, Rakesh Kumar Bajaj, Osamah Ibrahim Khalaf, Himanshu Dhumras, Varun Shukla
Publikováno v:
Symmetry, Vol 15, Iss 3, p 595 (2023)
In the present communication, a new concept of a cohesive fuzzy set (CHFS) has been proposed as a synchronized generalization of complex fuzzy sets and hesitant fuzzy sets in a systematic way. The novelty of the introduced notion lies in the selectio
Externí odkaz:
https://doaj.org/article/f600224b4a3e453bbe4c633826e086a5
Autor:
Mahima Poonia, Rakesh Kumar Bajaj
Publikováno v:
Neutrosophic Sets and Systems, Vol 39, Pp 86-100 (2021)
In the last decades, different researchers have considerably incorporated the notion of neutrosophic sets, their properties and different measures for managing the uncertainty, impreciseness and vagueness in the information. It may be noted that ne
Externí odkaz:
https://doaj.org/article/9b232c8034414922896ac806dc24c53d
Autor:
Abhishek Guleria, Rakesh Kumar Bajaj
Publikováno v:
Neutrosophic Sets and Systems, Vol 29, Pp 129-141 (2019)
The decision-making problems in which there are large numbers of qualitative and quantitative factors involved, the technique of dimensionality reduction plays an important role for simplicity and wider applicability. The impreciseness in the informa
Externí odkaz:
https://doaj.org/article/ca8427e0fbcc472b864c6cd1965c0d7d
On Parametric Divergence Measure of Neutrosophic Sets with its Application in Decision-making Models
Publikováno v:
Neutrosophic Sets and Systems, Vol 29, Pp 101-120 (2019)
In various decision-making models the divergence measure is found to be a useful information measure in handling impreciseness and uncertainty among the qualitative and quantitative factors of the decision-making process. In the proposed work, a nove
Externí odkaz:
https://doaj.org/article/43bd6628f3cc4c18b27f2d75178ee2d6
Autor:
Abhishek Guleria, Rakesh Kumar Bajaj
Publikováno v:
Advances in Fuzzy Systems, Vol 2018 (2018)
In the present communication, a parametric (R, S)-norm information measure for the Pythagorean fuzzy set has been proposed with the proof of its validity. The monotonic behavior and maximality feature of the proposed information measure have been stu
Externí odkaz:
https://doaj.org/article/d5d2c6a1f4f64dae8853c7a554374e7d
Autor:
Tanuj Kumar, Rakesh Kumar Bajaj
Publikováno v:
Journal of Mathematics, Vol 2014 (2014)
We introduce the concept of complex intuitionistic fuzzy soft sets which is parametric in nature. However, the theory of complex fuzzy sets and complex intuitionistic fuzzy sets are independent of the parametrization tools. Some real life problems, f
Externí odkaz:
https://doaj.org/article/aded82a5c3d04ca0b19adcf14323be08
Autor:
Himanshu Dhumras, Rakesh Kumar Bajaj
Publikováno v:
Soft Computing. 27:5077-5098