Results 121 to 130 of about 220,242 (290)

An Introduction to Fuzzy Measure Theory(IV)

Journal of Japan Society for Fuzzy Theory and Systems, 1991
Toshiaki MUROFUSHI, Michio SUGENO
openaire   +4 more sources

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

Applications of q-Spherical Fuzzy Rough CODAS to the Assessment of a Problem Involving Renewable Energy Site Selection

IEEE Access
Multi-criteria decision-making (MCDM) approaches prove to be effective and reliable in addressing problems under uncertain conditions. The q-spherical fuzzy rough set (q-SFRS) represents the latest advancement in fuzzy set theory.
Ahmad Bin Azim, Asad Ali, Abdul Samad Khan, Fuad A. Awwad, Sumbal Ali, Emad A. A. Ismail   +5 more
doaj   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

AIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho, Akshay Kudva, Parth Shah, Dongheon Lee, Joseph Sang‐Il Kwon   +4 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

An intuitionistic fuzzy graph’s variation coefficient measure with application to selecting a reliable alliance partner

Scientific Reports
Group decision-making (GDM) is crucial in various components of graph theory, management science, and operations research. In particular, in an intuitionistic fuzzy group decision-making problem, the experts communicate their preferences using ...
Naveen Kumar Akula, Sharief Basha S, Nainaru Tarakaramu, Obbu Ramesh, Sameh Askar, Uma Maheswari Rayudu, Hijaz Ahmad, M. Ijaz Khan   +7 more
doaj   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +1 more source

Information Security Risk Modeling: a Comparison of Probabilistic and Fuzzy Measure Approaches

Безопасность информационных технологий, 2010
The article presents two approaches to information security risk modeling. The traditional probabilistic method is compared with the one based on fuzzy measure theory, the differences are analyzed and explained.
M. V. Timonin, V. S. Lavrentyev
doaj  

Mathematical aspects of the theory of measures of fuzziness

Mathware & soft computing, 1996
After recalling the axiomatic concept of fuzziness measure, we define some fuzziness measures through Sugeno’s and Choquet’s integral. In particular, for the so-called “homogeneous” fuzziness measures we prove two representation theorems by means of the above integrals.
openaire   +3 more sources