On the public citation graph
https://doi.org/10.5281/zenodo.1041513
0 signed · 29 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb01338.xopenalex-extracted
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1007/978-1-4757-0450-1openalex-extracted
Pattern Recognition with Fuzzy Objective Function Algorithms
inferredcites →https://doi.org/10.1007/978-3-540-27794-1_11openalex-extracted
A Partition Model of Granular Computing
inferredcites →https://doi.org/10.1007/978-3-642-16248-0_13openalex-extracted
Pattern Classification Using Class-Dependent Rough-Fuzzy Granular Space
inferredcites →https://doi.org/10.1007/978-3-7908-1856-7_15openalex-extracted
Granular Computing : An Introduction
inferredcites →https://doi.org/10.1007/978-3-7908-1869-7openalex-extracted
Uncertainty-Based Information
inferredcites →https://doi.org/10.1016/0165-0114(92)90239-zopenalex-extracted
Entropy, distance measure and similarity measure of fuzzy sets and their relations
inferredcites →https://doi.org/10.1016/j.asoc.2007.02.010openalex-extracted
Fuzzy polynomial neural networks for approximation of the compressive strength of concrete
inferredcites →https://doi.org/10.1016/j.fss.2003.11.012openalex-extracted
Interpretability and learning in neuro-fuzzy systems
inferredcites →https://doi.org/10.1016/j.fss.2005.08.004openalex-extracted
Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure
inferredcites →https://doi.org/10.1016/j.fss.2010.06.004openalex-extracted
A neural-fuzzy modelling framework based on granular computing: Concepts and applications
inferredcites →https://doi.org/10.1016/s0019-9958(74)80023-9openalex-extracted
Entropy of L-fuzzy sets
inferredcites →https://doi.org/10.1016/s0165-0114(86)80034-3openalex-extracted
Intuitionistic fuzzy sets
inferredcites →https://doi.org/10.1016/s0925-2312(00)00342-8openalex-extracted
Granular neural networks
inferredcites →https://doi.org/10.1016/s1568-4946(02)00023-6openalex-extracted
Self-organizing neural networks with fuzzy polynomial neurons
inferredcites →https://doi.org/10.1049/ip-e.1989.0039openalex-extracted
Object-background segmentation using new definitions of entropy
inferredcites →https://doi.org/10.1109/3477.956039openalex-extracted
A systematic neuro-fuzzy modeling framework with application to material property prediction
inferredcites →https://doi.org/10.1109/72.182710openalex-extracted
Functional equivalence between radial basis function networks and fuzzy inference systems
inferredcites →https://doi.org/10.1109/91.995117openalex-extracted
DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction
inferredcites →https://doi.org/10.1109/fuzzy.1998.686270openalex-extracted
A fast fuzzy modelling approach using clustering neural networks
inferredcites →https://doi.org/10.1109/grc.2008.4664723openalex-extracted
Modelling imprecise and scattered multidimensional data using granular data compression and multiple granularity modelling
inferredcites →https://doi.org/10.1109/tnn.2004.824250openalex-extracted
Efficient Learning Algorithms for Three-Layer Regular Feedforward Fuzzy Neural Networks
inferredcites →https://doi.org/10.1142/s012906570400211xopenalex-extracted
ON THE STRUCTURE AND INITIAL PARAMETER IDENTIFICATION OF GAUSSIAN RBF NETWORKS
inferredcites →https://doi.org/10.1162/neco.1989.1.2.281openalex-extracted
Fast Learning in Networks of Locally-Tuned Processing Units
inferredcites →https://doi.org/10.1504/ijgcrsis.2010.036980openalex-extracted
Modelling steel heat treatment data using granular data compression and multiple granularity modelling
inferredcites →https://doi.org/10.2355/isijinternational.44.1108openalex-extracted
Fuzzy Model-based Charpy Impact Toughness Assessment for Ship Steels
inferredcites →https://doi.org/10.48550/arxiv.cs/0505014openalex-extracted
Interval Neutrosophic Sets and Logic: Theory and Applications in Computing
inferredcites →https://doi.org/10.5281/zenodo.8792openalex-extracted
A Unifying Field In Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability And Statistics
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.