Results 31 to 40 of about 6,805,781 (246)

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

Journal 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

Some Characteristics Of Picture Fuzzy Subgroups Via Cut Set Of Picture Fuzzy Set [PDF]

, 2022
Given any picture fuzzy set Q of a universe Y , the set Cr,s,t(Q) called the (r, s, t)-cut set of Q was studied. In this paper, some characteristics of picture fuzzy subgroup of a group are obtained via the cut sets of picture fuzzy ...
Onasanya, Babatunde Oluwaseun, Sangodapo, Taiwo Olubunmi   +1 more
core   +1 more source

Nature-Inspired Adaptive Architecture for Soft Sensor Modelling [PDF]

This paper gives a general overview of the challenges present in the research field of Soft Sensor building and proposes a novel architecture for building of Soft Sensors, which copes with the identified challenges.
Gabrys, Bogdan, Kadlec, Petr
core   +8 more sources

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

Journal 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, Raman Sundareswaran, Marayanagaraj Shanmugapriya, Said Broumi, Talal Ali Al-Hawary   +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

AIMS 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, Asad Ali, Ahmad Bin Azim, Ahmad Aloqaily, Nabil Mlaiki   +4 more
openaire   +3 more sources

Fuzzy Soft Sets and its Application to Decision Making: A Short Case Study Involving the Health Sector [PDF]

The health sector faces uncertainty and complex decision-making scenarios, making traditional analytical tools insufficient. The fuzzy soft set theory has emerged as a powerful framework for modeling and reasoning with uncertain information, with ...
Adebisi, Sunday Adesina, Ademola, Adenekan Samuel   +1 more
core   +1 more source

Rough picture fuzzy set and picture fuzzy topologies [PDF]

, 2015
Approximation of a picture fuzzy set on a crisp approximation space gives a rough picture fuzzy set. In this paper, the concept of a rough picture set is introduced, besides, we also investigate some topological structures of a rough picture fuzzy set ...
Định, Nguyễn Văn, Thảo, Nguyễn Xuân, Nguyễn Văn Định, Nguyễn Xuân Thảo   +3 more
core   +2 more sources

Fundamentals of the Complex Picture Fuzzy Hyper soft Set

Global 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, null Tasadduq Niaz, null Amir Nawaz   +2 more
openaire   +1 more source

A random set and prototype theory interpretation of intuitionistic fuzzy sets [PDF]

, 2010
An interpretation of intuitionistic fuzzy sets is proposed based on random set theory and prototype theory. The extension of fuzzy labels are modelled by lower and upper random set neighbourhoods, identifying those element of the universe within an ...
Lawry, Jonathan, Jonathan Lawry
core   +1 more source

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

Advanced 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, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source