Results 61 to 70 of about 106,167 (267)

Extensions of Dombi Aggregation Operators for Decision Making under m-Polar Fuzzy Information

Journal of Mathematics, 2020
An m-polar fuzzy set is a powerful mathematical model to analyze multipolar, multiattribute, and multi-index data. The m-polar fuzzy sets have appeared as a useful tool to portray uncertainty in multiattribute decision making. The purpose of this article
Muhammad Akram, Naveed Yaqoob, Ghous Ali, Wathek Chammam   +3 more
doaj   +1 more source

Single-Valued Neutrosophic Linguistic Logarithmic Weighted Distance Measures and Their Application to Supplier Selection of Fresh Aquatic Products

Mathematics, 2020
A single-valued neutrosophic linguistic set (SVNLS) is a popular fuzzy tool for describing deviation information in uncertain complex situations. The aim of this paper is to study some logarithmic distance measures and study their usefulness in multiple ...
Jiefeng Wang, Shouzhen Zeng, Chonghui Zhang   +2 more
doaj   +1 more source

A Novel Approach on the Intuitionistic Fuzzy Rough Frank Aggregation Operator-Based EDAS Method for Multicriteria Group Decision-Making

Complexity, 2021
The basic ideas of rough sets and intuitionistic fuzzy sets (IFSs) are precise statistical instruments that can handle vague knowledge easily. The EDAS (evaluation based on distance from average solution) approach plays an important role in decision ...
Muhammad Yahya, Muhammad Naeem, Saleem Abdullah, Muhammad Qiyas, Muhammad Aamir   +4 more
doaj   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

The Generalized Hybrid Averaging Operator and its Application in Decision Making // La media generalizada híbrida y su aplicación en la toma de decisiones [PDF]

Revista de Métodos Cuantitativos para la Economía y la Empresa, 2010
We present the generalized hybrid averaging (GHA) operator. It is a new aggregation operator that generalizes the hybrid averaging (HA) operator by using the generalized mean. Thus, we are able to generalize a wide range of mean operators such as the HA,
Casanovas Ramón, Montserrat, Merigó Lindahl, José M.   +1 more
doaj  

On the convergence of weighted-average consensus

CoRR, 2013
In this note we give sufficient conditions for the convergence of the iterative algorithm called weighted-average consensus in directed graphs. We study the discrete-time form of this algorithm. We use standard techniques from matrix theory to prove the main result.
Francisco Pedroche, Miguel Rebollo, Carlos Carrascosa, Alberto Palomares   +3 more
openaire   +2 more sources

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Hamacher Interactive Hybrid Weighted Averaging Operators under Fermatean Fuzzy Numbers

Journal of Mathematics, 2021
A Fermatean fuzzy set is a more powerful tool to deal with uncertainties in the given information as compared to intuitionistic fuzzy set and Pythagorean fuzzy set and has energetic applications in decision-making.
Gulfam Shahzadi, G. Muhiuddin, Muhammad Arif Butt, Ather Ashraf   +3 more
doaj   +1 more source

Boosting with Averaged Weight Vectors [PDF]

, 2003
AdaBoost [5] is a well-known ensemble learning algorithm that constructs its constituent or base models in sequence. A key step in AdaBoost is constructing a distribution over the training examples to create each base model. This distribution, represented as a vector, is constructed to be orthogonal to the vector of mistakes made by the previous base ...
openaire   +2 more sources

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source