Results 101 to 110 of about 466 (158)

A Network Shortest Path Algorithm via Hesitancy Fuzzy Digraph

Journal of New Theory, 2019
Many extension and generalization of fuzzy sets have been studied and introduced in the literature. Hesitancy fuzzy digraph is a generalization of intuitionistic fuzzy set and fuzzy graph.  In this paper, we redefine some basic ...
Parimala Mani, Said Broumi, Karthika Muthusamy   +2 more
doaj  

Benchmarking Full‐Length ITS Metabarcoding Across Illumina 2 × 500, PacBio, and Oxford Nanopore Sequencing Using Mock and Soil Communities

Molecular Ecology Resources, Volume 26, Issue 6, August 2026.
ABSTRACT Metabarcoding is a powerful tool for biodiversity comparisons, where standard‐size DNA barcodes (> 500 bases) offer better taxonomic resolution than shorter ones. Still, the choice of sequencing platforms and bioinformatics pipelines may strongly affect inferred diversity due to various technical biases. We assessed the relative performance of
Leho Tedersoo, Marko Prous, Meirong Chen, Sten Anslan, Irja Saar, Benjamin Dubois, Vladimir Mikryukov   +6 more
wiley   +1 more source

Comparison Between Fuzzy Number Sequences via Interactive Arithmetic J0 and Standard Arithmetic

Transactions on Fuzzy Sets and Systems
The focus of this work is to study sequences of interactive fuzzy numbers. The interactivity relation is associated with the concept of joint possibility distribution.
Vinı`cius Francisco Wasques, Nilmara de Jesus Biscaia Pinto   +1 more
doaj  

Ensembling Crop Models and Multi Criteria Analysis to Unlock Bioenergy From Marginal Lands: A Scenario‐Based Assessment From Italy

GCB Bioenergy, Volume 18, Issue 8, August 2026.
Multi‐Criteria Analysis to identify marginal land on which three crops (Safflower, castor bean, and Ethiopian mustard) were simulated with two process‐based models (DSSAT, ARMOSA) under two different agronomical management minimums (rainfed and no fertilization) and low input (half‐water and half‐nitrogen).
Claudio Russo, Valerio Cirillo, Nausicaa Pollaro, Stefania Pindozzi, Elena Cervelli, Roberto Rea, Giovanni Pica, Andrea Chiodini, Alessia Perego, Fabio Terribile, Albino Maggio, Davide Cammarano   +11 more
wiley   +1 more source

Fuzzy midpoint–based imputation methods for non-parametric survival estimation with interval-censored data

Frontiers in Applied Mathematics and Statistics
The analysis of failure time data frequently encounters situations in which the exact time of event occurrence is unknown but is known to lie within a specified interval, resulting in interval-censored data.
Kumbirai Kimpton Manungo, Chioneso Show Marange, Odilo Ndiweni   +2 more
doaj   +1 more source

Agentic Loafing: An AI Decision Delegation Risk

Risk Analysis, Volume 46, Issue 8, August 2026.
ABSTRACT Artificial Intelligence (AI) is increasingly making decisions in healthcare, not just supporting them. This research introduces “agentic loafing” to describe the intentional yet unexamined delegation of decision‐making authority from clinicians to AI systems. Using netnography of professional podcasts and secondary analysis of gray literature,
Helmi Issa, Fabio James Petani, Dejan Glavas   +2 more
wiley   +1 more source

Spherical Bipolar Fuzzy Sets and Its Application in Multi Criteria Decision Making Problem

Journal of New Theory, 2020
This paper introduces the concept of Spherical Bipolar Fuzzy sets (SBFS) as a combination of Spherical Fuzzy sets and Bipolar Valued Fuzzy Sets along with their properties.
Krishnaswamy Mohana, Rayappan Princy
doaj  

Interactive Fuzzy Numbers in the Evaluation of the Effectiveness of Investment Projects and the Selection of Efficient Portfolios

Operations Research and Decisions, 2010
The paper presents a method for evaluating the effectiveness and risks of investment projects and the selection of efficient portfolios in a situation where parameters in the calculation of effectiveness are expressed in the form of interactive fuzzy ...
Bogdan Rebiasz
doaj  

Applied Fuzzy Arithmetic [PDF]

, 2005
openaire   +1 more source

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A new fuzzy arithmetic

Fuzzy Sets and Systems, 1999
Following \textit{R. Goetschel jun.} and \textit{W. Voxman} [Fuzzy Sets Syst. 18, 31-43 (1986; Zbl 0626.26014)] the authors define a fuzzy number as a triple \((u_0, u_*, u^*)\) where the real number \(u_0\) is a location parameter and \(u_*,\;u^*\) are decreasing fuzziness index functions.
Abraham Kandel, Menahem Friedman
exaly   +2 more sources