Results 171 to 180 of about 529 (217)

Ethical challenges of emerging anatomical technologies in UK public engagement

Anatomical Sciences Education, EarlyView.
Emergent technologies are increasingly used in anatomical education and public engagement. They expand access and reduce reliance on physical human tissue, but also introduce ethical challenges relating to consent, dignity, representation, transparency, and commercialization.
Lucy E. Hyde, Jennifer Z. Paxton, Rocky C. C. Cheung, Craig I. Johnson   +3 more
wiley   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Applications of Fuzzy Set Theory, Fuzzy Measure Theory and Fuzzy Differential Calculus

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Fuzzy similarity measures and measurement theory

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019
We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement introduced by Tversky, we establish necessary and sufficient conditions for the existence of a particular class of fuzzy similarity measures, agreeing with an ordering relation among pairs of objects which express the idea that two objects are
G. Coletti, B. Bouchon Meunier
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Fuzzy measurement theory

Measurement, 2008
Abstract Exact measurement is a mapping f0 from the structure of physical objects into the structure of real numbers R representing the results of measurement. In the framework of the fuzzy theory of measurement an inexact measurement is represented by a mapping f from a physical objects into a structure of fuzzy intervals.
Michał K. Urbański, Janusz Wa¸sowski
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Fuzzy measure based on decomposition theory

Fuzzy Sets and Systems, 2000
The authors define a fuzzy measure \({\mathfrak M}^*\) for fuzzy numbers \(D\) by the formula \({\mathfrak M}^*(D)= \int^1_0(D_r(\alpha)- D_1(\alpha)) d\alpha\), where \(D_r(\alpha)\) and \(D_1(\alpha)\) are, respectively, the upper and lower bound of the \(\alpha\)-cut \(\{x\in \mathbb{R}:D(x)\geq \alpha\}= [D_1(\alpha), D_r(\alpha)]\).
Jing-Shing Yao, San-Chyi Chang
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Intuitionistic fuzzy similarity measure: Theory and applications

Journal of Intelligent & Fuzzy Systems, 2015
First we give notion of integral of intuitionistic fuzzy set and introduce intuitionistic fuzzy implicator and intuitionistic fuzzy inclusion measure. Then we propose a new measure of similarity between two intuitionistic fuzzy sets based on intuitionistic fuzzy inclusion measure.
Ismat Beg, Tabasam Rashid
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Duality and ordinality in fuzzy measure theory

Fuzzy Sets and Systems, 2003
For a finite fuzzy measure \(m\) (i.e., a non-decreasing set function defined on a sigma-algebra \({\mathcal A}\) of a universe \(X\) vanishing at the empty set), its dual \(m^{\text{d}}:{\mathcal A}\to[0,\infty[\;\) is given by \(m^{\text{d}}(A)=m (X)-m(A^c)\).
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Fuzzy approach to the theory of measurement inexactness

Measurement, 2003
Abstract In this paper we propose the t -norm based arithmetics to describe the propagation of both systematic and statistical inexactness. Evaluation of measurement inexactness occurs in three steps: (1) estimation of inexactness of single ‘pure’ measurement results, (2) propagation of inexactness due to statistical evaluation, (3) estimation of ...
Michał K. Urbanski, Janusz Wa̧sowski
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A measure of the satisfaction by Fuzzy set theory

2013
In this paper the fuzzy set theory is applied to define a measure of subject satisfaction relating to every social aspect (quality of life, job, a service, etc.). This theory is based on the construction of a membership function to a fuzzy set.
De Battista, F, MARASINI, DONATA, Nicolini, G.   +2 more
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