Results 51 to 60 of about 131,619 (289)
The predominant domain for optimization in the current situation is the transportation problem (TP). In the majority of cases, accurate data have been employed, yet in reality, the values are vague and imprecise. In any decision-making process, imprecision is a significant issue.
Hemalatha K, Venkateswarlu B
openaire +3 more sources
Some results on χ-single valued neutrosophic subgroups [PDF]
In this study, we develop a novel structure χ-single valued neutrosophic set, which is a generalization of the intuitionistic set, inconsistent intuitionistic fuzzy set, Pythagorean fuzzy set, spherical fuzzy set, paraconsistent set, etc. Fuzzy subgroups
Ahmad, Zaheer +3 more
core +3 more sources
Imprecision is an important factor in any decision-making process. Different tools and approaches have been introduced to handle the imprecise environment of group decision-making.
P. A. Ejegwa
semanticscholar +1 more source
Pythagorean cubic set (PCFS) is the combination of the Pythagorean fuzzy set (PFS) and interval-valued Pythagorean fuzzy set (IVPFS). PCFS handle more uncertainties than PFS and IVPFS and thus are more extensive in their applications.
Tehreem +4 more
doaj +1 more source
A General Qualitative Spatio-Temporal Model Based on Intervals [PDF]
Many real-world problems involve qualitative reasoning about space and/or time. Actually, it is an adequate tool for dealing with situations in which information is not sufficiently precise. However, despite its numerous applications, it is difficult for
del Pobil, Angel P. +2 more
core +2 more sources
The Pythagorean fuzzy soft set (PFSS) is the most proficient and manipulative leeway of the Pythagorean fuzzy set (PFS), which contracts with parameterized values of the alternatives.
Rana Muhammad Zulqarnain +5 more
doaj +1 more source
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
We present DroTrack, a high-speed visual single-object tracking framework for drone-captured video sequences. Most of the existing object tracking methods are designed to tackle well-known challenges, such as occlusion and cluttered backgrounds.
Hamdi, Ali, Kim, Du Yong, Salim, Flora
core +1 more source
Pythagorean fuzzy set is a useful expansion of intuitionistic fuzzy set for dealing with ambiguities, which mostly occur in real-life problems. Hamacher t-norm also has important and compatible norms that incorporate a parameter that offers various ...
Muhammad Asif +2 more
semanticscholar +1 more source
New similarity measure and distance measure for Pythagorean fuzzy set
Pythagorean fuzzy set (PFS), disposing the indeterminacy portrayed by membership and non-membership, is a more viable and effective means to seize indeterminacy.
Xindong Peng
semanticscholar +1 more source
Regularity of Pythagorean neutrosophic graphs with an illustration in MCDM
Pythagorean neutrosophic set is an extension of a neutrosophic set which represents incomplete, uncertain and imprecise details. Pythagorean neutrosophic graphs (PNG) are more flexible than fuzzy, intuitionistic, and neutrosophic models.
D. Ajay +4 more
doaj +1 more source

