Results 41 to 50 of about 1,859 (249)

RETRACTED ARTICLE: Applications of complex picture fuzzy soft power aggregation operators in multi-attribute decision making

open access: yesScientific Reports, 2022
The major theme of this analysis is to suggest a new theory in the form of complex picture fuzzy soft (CPFS) information and to initiate their major algebraic laws, score value, and accuracy values.
Tahir Mahmood   +2 more
doaj   +1 more source

Another View on Picture Fuzzy Soft Sets and Their Product Operations with Soft Decision-Making

open access: yesJournal of New Theory, 2022
Cuong [Picture Fuzzy Sets, Journal of Computer Science and Cybernetics 30 (4) (2014) 409–420] has introduced the concept of picture fuzzy soft sets (pfs-sets) relying on his definition and operations of picture fuzzy sets (pf -sets), in which there exist some inconsistencies. Yang et al.
openaire   +3 more sources

Rendering Volume 3D Modeling [PDF]

open access: yes, 2022
We may simply consider the filtered scene as a sampled or simulated volume dataset, such as a 3D medical imaging dataset, once it is represented as a volume raster of filtered values. Thus, for image generation, we can use one of several volume-rendering
Catherin
core   +1 more source

An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding [PDF]

open access: yes, 2020
Current work adopts the Fuzzy c-means Bag of Visual Words model and sparse coding for plant identification. Plant identification has become a significant research area in the botany field in recent years.
Khalid, Fatimah, Safa, Soodabeh
core   +1 more source

Vulnerability parameters in picture fuzzy soft graphs and their applications to locate a diagnosis center in cities [PDF]

open access: yesJournal of Fuzzy Extension and Applications
The notion of Fuzzy Graphs (FGs) and Intuitionistic Fuzzy Graphs (IFGs) is generalized in the Picture Fuzzy Graph (PFG), which is a more common platform for expressing the degree of positive, negative, and neutral membership functions. Picture Fuzzy Soft
R. V Jaikumar   +4 more
doaj   +1 more source

Averaging aggregation operators under the environment of q-rung orthopair picture fuzzy soft sets and their applications in MADM problems

open access: yesAIMS Mathematics, 2023
q - Rung orthopair fuzzy soft set يعالج الشكوك والغموض من خلال العضوية ودرجة عدم العضوية مع السمات، هنا لا توجد معلومات حول الدرجة المحايدة لتغطية هذه الفجوة والحصول على بنية معممة، نقدم مجموعة هجينة من الصور الضبابية و q - rung orthopair fuzzy soft set وبدء فكرة q - rung orthopair picture fuzzy soft set، والتي تتميز بدرجة عضوية إيجابية ومحايدة وسلبية ...
Muhammad Rahim   +4 more
openaire   +3 more sources

A principal topology obtained from uninorms [PDF]

open access: yes, 2022
summary:We obtain a principal topology and some related results. We also give some hints of possible applications. Some mathematical systems are both lattice and topological space.
Köroğlu, Tuncay, Karaçal, Funda
core   +1 more source

Fundamentals of the Complex Picture Fuzzy Hyper soft Set

open access: yesGlobal Research Journal of Natural Science and Technology
Nowadays, selecting the right institution for higher education (HE) is a grim task in emerging nations because of the lack of proper career counselling, and less obtainable information, and an ill-structured support system. These components lead towards an unwisely academic decision, high rates of dropout, and unimagined career ambitions, along with ...
null Muhammad Asmail   +2 more
openaire   +1 more source

An Integrated Interval-Valued Picture Fuzzy CRITIC & TOPSIS Methodology: An Application to Disaster Debris Management [PDF]

open access: yes, 2023
Picture fuzzy (PF) sets show the expert's opinion about an element's membership or non-membership in the set, as well as the expert's indecision about the element's membership in the set.
Otay, Irem   +3 more
core  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

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