Results 121 to 130 of about 137,292 (318)

Further development of F-index for fuzzy graph and its application in Indian railway crime. [PDF]

J Appl Math Comput, 2023
Islam SR, Pal M.
europepmc   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Newly defined fuzzy Misbalance Prodeg Index with application in multi-criteria decision-making

AIMS Mathematics
In crisp graph theory, there are numerous topological indices accessible, including the Misbalance Prodeg Index, which is one of the most well-known degree-based topological indexes. In crisp graphs, both vertices and edges have membership values of $ 1 $
Shama Liaqat , Zeeshan Saleem Mufti, Yilun Shang   +2 more
doaj   +1 more source

A fuzzy graph approach analysis for COVID-19 outbreak. [PDF]

Results Phys, 2021
Hassan N, Ahmad T, Ashaari A, Awang SR, Mamat SS, Wan Mohamad WM, Ahmad Fuad AA.   +6 more
europepmc   +1 more source

Теоретико-категорная формализация при проектировании нечетких интеллектуальных систем

, 2009
Розглянуто комплекс проблем, пов’язаних з теоретико-категорною формалізацією нечітких діаграм UML, нечітких графів та систем трансформації нечітких графів.
Ершов, С.В., Парасюк, И.Н.   +1 more
core  

On Fuzzy Concepts [PDF]

, 2006
In this paper we try to combine two approaches. One is the theory of knowledge graphs in which concepts are represented by graphs. The other is the axiomatic theory of fuzzy sets (AFS). The discussion will focus on the idea of fuzzy concept. It will be
Hoede, C., Wang, Xin
core   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A novel concept of domination in m-polar interval-valued fuzzy graph and its application. [PDF]

Neural Comput Appl, 2022
Bera S, Pal M.
europepmc   +1 more source

Word Similarity from Dictionaries: Inferring Fuzzy Measures from Fuzzy Graphs [PDF]

, 2008
Vicenç Torra, Yasuo Narukawa
openalex   +1 more source

Unraveling Multimodal Brain Signatures: Deciphering Transdiagnostic Dimensions of Psychopathology in Adolescents

Advanced Intelligent Systems, EarlyView.
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley   +1 more source