Results 61 to 70 of about 10,673,868 (348)

A Parameterized Intuitionistic Fuzzy Distance Measure-Based CoCoSo Method and Its Application in Stock Selection

open access: yesMathematics
In this paper, a parameterized intuitionistic fuzzy distance measure-based combined compromise solution (PIFDM-CoCoSo) framework is proposed to solve the multi-criteria decision-making (MCDM) problem with completely unknown criterion weight information ...
Jiulin Jin   +4 more
doaj   +1 more source

Entropy-based analysis using linear diophantine multi fuzzy soft sets: A DEA approach for improved decision systems [PDF]

open access: yesYugoslav Journal of Operations Research
This article unveils an innovative approach to improving the entropy measure analysis of Decision Making Units(DMUs) in the context of linear Diophantine multifuzzy soft sets.
Kannan Jeevitha   +3 more
doaj   +1 more source

Weighted survival functional entropy and its properties

open access: yesOpen Physics, 2023
The weighted generalized cumulative residual entropy is a recently defined dispersion measure. This article introduces a new uncertainty measure as a generalization of the weighted generalized cumulative residual entropy, called it the weighted ...
Alomani Ghadah, Kayid Mohamed
doaj   +1 more source

Information Measures for Entropy and Symmetry

open access: yesCoRR, 2022
Entropy and information can be considered dual: entropy is a measure of the subspace defined by the information constraining the given ambient space. Negative entropies, arising in naïve extensions of the definition of entropy from discrete to continuous settings, are byproducts of the use of probabilities, which only work in the discrete case by a ...
openaire   +2 more sources

Survival After Hematopoietic Stem Cell Transplantation in Diamond–Blackfan Anemia Syndrome: The Role of Iron Overload—A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens   +6 more
wiley   +1 more source

Microgravity Spherical Droplet Evaporation and Entropy Effects

open access: yes, 2023
Recent efforts to understand low-temperature combustion (LTC) in internal combustion engines highlight the need to improve chemical kinetic mechanisms involved in the negative temperature coefficient (aka cool flame) regime.
Depcik, Christopher
core   +1 more source

A Novel Classification Method: Neighborhood-Based Positive Unlabeled Learning Using Decision Tree (NPULUD)

open access: yesEntropy
In a standard binary supervised classification task, the existence of both negative and positive samples in the training dataset are required to construct a classification model.
Bita Ghasemkhani   +3 more
doaj   +1 more source

A novel TODIM‐VIKOR approach based on entropy and Jensen–Tsalli divergence measure for picture fuzzy sets in a decision‐making problem

open access: yesInternational Journal of Intelligent Systems, 2020
The picture fuzzy set (PFS) has grown huge attention in the research area of uncertain information from the last few years. Information measures have been widely studied in various fuzzy environments.
V. Arya, Satish Kumar
semanticscholar   +1 more source

Beyond the Document: A Single‐Center Qualitative Study of Survivorship Care Plan Barriers and Opportunities Across Pediatric Oncology Stakeholders

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivorship care plans (SCPs) summarize cancer treatment and guide risk‐based follow‐up for cancer survivors, yet remain difficult to create, share, and use. Stakeholder perspectives are needed to inform usable approaches.
Molly S. Talman   +4 more
wiley   +1 more source

TRENTOOL : an open source toolbox to estimate neural directed interactions with transfer entropy [PDF]

open access: yes, 2011
To investigate directed interactions in neural networks we often use Norbert Wiener's famous definition of observational causality. Wiener’s definition states that an improvement of the prediction of the future of a time series X from its own past by the
Viola Priesemann   +11 more
core   +1 more source

Home - About - Disclaimer - Privacy