On the public citation graph

Representation of Japanese Candlesticks by Oriented Fuzzy Numbers

0 signed · 60 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-07176-3openalex-snapshot
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II
inferredcites →https://doi.org/10.1007/978-3-319-19324-3_23openalex-snapshot
The Directed Compatibility Between Ordered Fuzzy Numbers - A Base Tool for a Direction Sensitive Fuzzy Information Processing
inferredcites →https://doi.org/10.1007/978-3-319-29504-6openalex-snapshot
Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015
inferredcites →https://doi.org/10.1007/978-3-319-29504-6_46openalex-snapshot
The Directed Inference for the Kosinski’s Fuzzy Number Model
inferredcites →https://doi.org/10.1007/978-3-319-59614-3openalex-snapshot
Theory and Applications of Ordered Fuzzy Numbers
inferredcites →https://doi.org/10.1007/978-3-540-77926-1openalex-snapshot
Fuzzy Portfolio Optimization: Theory and Methods
inferredcites →https://doi.org/10.1007/978-3-642-33439-9_4openalex-snapshot
Financial Fuzzy Time Series Models Based on Ordered Fuzzy Numbers
inferredcites →https://doi.org/10.1007/978-3-642-38658-9_24openalex-snapshot
Financial Stock Data and Ordered Fuzzy Numbers
inferredcites →https://doi.org/10.1007/978-3-642-38658-9_31openalex-snapshot
Modelling Financial High Frequency Data Using Ordered Fuzzy Numbers
inferredcites →https://doi.org/10.1007/978-3-642-49888-6openalex-snapshot
Grundbegriffe der Wahrscheinlichkeitsrechnung
inferredcites →https://doi.org/10.1007/978-3-642-54652-5openalex-snapshot
Fuzzy Portfolio Optimization: Advances in Hybrid Multi-criteria Methodologies
inferredcites →https://doi.org/10.1016/0020-0255(75)90017-1openalex-snapshot
The concept of a linguistic variable and its application to approximate reasoning-III
inferredcites →https://doi.org/10.1016/0020-0255(75)90046-8openalex-snapshot
The concept of a linguistic variable and its application to approximate reasoning—II
inferredcites →https://doi.org/10.1016/0165-0114(79)90005-8openalex-snapshot
Fuzzy real algebra: Some results
inferredcites →https://doi.org/10.1016/0165-0114(81)90032-4openalex-snapshot
Concepts of probabilistic sets
inferredcites →https://doi.org/10.1016/0165-0114(86)90026-6openalex-snapshot
Elementary fuzzy calculus
inferredcites →https://doi.org/10.1016/j.eswa.2008.02.017openalex-snapshot
A new evaluation model for intellectual capital based on computing with linguistic variable
inferredcites →https://doi.org/10.1016/j.eswa.2008.06.050openalex-snapshot
Hybrid approach to the Japanese candlestick method for financial forecasting
inferredcites →https://doi.org/10.1016/j.eswa.2010.09.049openalex-snapshot
A modern neural network model to do stock market timing on the basis of the ancient investment technique of Japanese Candlestick
inferredcites →https://doi.org/10.1016/j.eswa.2017.10.002openalex-snapshot
Fuzzy modeling of stock trading with fuzzy candlesticks
inferredcites →https://doi.org/10.1016/j.eswa.2019.05.012openalex-snapshot
A fuzzy decision system for money investment in stock markets based on fuzzy candlesticks pattern recognition
inferredcites →https://doi.org/10.1016/j.ins.2014.03.026openalex-snapshot
Modeling and forecasting financial time series with ordered fuzzy candlesticks
inferredcites →https://doi.org/10.1016/j.jbankfin.2005.08.001openalex-snapshot
Candlestick technical trading strategies: Can they create value for investors?
inferredcites →https://doi.org/10.1016/j.jbankfin.2013.03.013openalex-snapshot
Do Japanese candlesticks help solve the trader’s dilemma?
inferredcites →https://doi.org/10.1016/j.jbankfin.2015.09.009openalex-snapshot
Trend definition or holding strategy: What determines the profitability of candlestick charting?
inferredcites →https://doi.org/10.1016/j.rfe.2012.02.001openalex-snapshot
Profitable candlestick trading strategies—The evidence from a new perspective
inferredcites →https://doi.org/10.1016/s0065-2458(08)60273-9openalex-snapshot
Developments in Uncertainty-Based Information
inferredcites →https://doi.org/10.1016/s0165-0114(96)00144-3openalex-snapshot
On a canonical representation of fuzzy numbers
inferredcites →https://doi.org/10.1016/s0165-0114(99)00024-xopenalex-snapshot
Linguistic decision analysis: steps for solving decision problems under linguistic information
inferredcites →https://doi.org/10.1080/00207727808941724openalex-snapshot
Operations on fuzzy numbers
inferredcites →https://doi.org/10.1109/tkde.2006.80openalex-snapshot
Pattern discovery of fuzzy time series for financial prediction
inferredcites →https://doi.org/10.1287/mnsc.13.10.b569openalex-snapshot
Decision-Making Allowing for Uncertainty of Future Investment Opportunities
inferredcites →https://doi.org/10.1515/foli-2015-0033openalex-snapshot
Behavioural Present Value Defined as Fuzzy Number – a New Approach
inferredcites →https://doi.org/10.2139/ssrn.1729351openalex-snapshot
Behavioural Present Value
inferredcites →https://doi.org/10.2139/ssrn.2988243openalex-snapshot
Behavioural Present Value Determined by Ordered Fuzzy Number
inferredcites →https://doi.org/10.2478/slgr-2014-0024openalex-snapshot
On Imprecise Investment Recommendations
inferredcites →https://doi.org/10.3390/asi2030026openalex-snapshot
Relation “Greater than or Equal to” between Ordered Fuzzy Numbers
inferredcites →https://doi.org/10.3390/axioms7010016openalex-snapshot
Revision of the Kosiński’s Theory of Ordered Fuzzy Numbers
inferredcites →https://doi.org/10.3390/math7030272openalex-snapshot
Sharpe’s Ratio for Oriented Fuzzy Discount Factor
inferredcites →https://doi.org/10.3390/sym11091104openalex-snapshot
Impact of the Orientation of the Ordered Fuzzy Assessment on the Simple Additive Weighted Method
inferredcites →https://doi.org/10.3905/jod.2005.580514openalex-snapshot
Performance of Candlestick Analysis on Intraday Futures Data
inferredcites →https://doi.org/10.5277/ord180203openalex-snapshot
The present value of a portfolio of assets with present values determined by trapezoidal ordered fuzzy numbers
inferredcites →https://doi.org/10.5277/ord190303openalex-snapshot
An EOQ model for deteriorating items with time dependent exponential demand rate and penalty cost

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3872858openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-030-95929-6_5openalex-snapshot
Heikin-Ashi Technique with Use of Oriented Fuzzy Numbers
inferred← citeshttps://doi.org/10.1007/978-3-031-40209-8_6openalex-snapshot
Recommendations of Stockbrokers Versus Fuzzy Portfolio Approach in Construction Sector
inferred← citeshttps://doi.org/10.1007/978-3-031-40552-5_4openalex-snapshot
Modeling the Uncertainty of Concurrent Cyclic Processes
inferred← citeshttps://doi.org/10.1007/s00180-020-01061-4openalex-snapshot
Fast computation and practical use of amplitudes at non-Fourier frequencies
inferred← citeshttps://doi.org/10.1007/s11250-021-02782-4openalex-snapshot
Single-nucleotide polymorphism detecting of some candidate genes related to lipid metabolism in Booroola Merino-Afshari sheep by Bayesian model averaging
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122486openalex-snapshot
Uncertainty, imprecision and profitability in investment fuzzy portfolio analysis – a comparative study
inferred← citeshttps://doi.org/10.1016/j.jeconom.2020.05.004openalex-snapshot
Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I ( 1 ) cointegrated factors
inferred← citeshttps://doi.org/10.1016/j.jocs.2020.101288openalex-snapshot
An ordered-fuzzy-numbers-driven approach to the milk-run routing and scheduling problem
inferred← citeshttps://doi.org/10.3390/app10134484openalex-snapshot
Using Machine Learning and Candlestick Patterns to Predict the Outcomes of American Football Games
inferred← citeshttps://doi.org/10.3390/e24111617openalex-snapshot
The Extended Linguistic Hellwig’s Methods Based on Oriented Fuzzy Numbers and Their Application to the Evaluation of Negotiation Offers
inferred← citeshttps://doi.org/10.3390/math9050523openalex-snapshot
Oriented Fuzzy Numbers vs. Fuzzy Numbers
inferred← citeshttps://doi.org/10.3390/sym12101672openalex-snapshot
On Application Oriented Fuzzy Numbers for Imprecise Investment Recommendations
inferred← citeshttps://doi.org/10.3390/sym13030468openalex-snapshot
On Present Value Evaluation under the Impact of Behavioural Factors Using Oriented Fuzzy Numbers
inferred← citeshttps://doi.org/10.3390/sym13091722openalex-snapshot
The Use of Trapezoidal Oriented Fuzzy Numbers in Portfolio Analysis
inferred← citeshttps://doi.org/10.37190/ord230409openalex-snapshot
On portfolio analysis using oriented fuzzy numbers for the trade-related sector of the Warsaw Stock Exchange
inferred← citeshttps://doi.org/10.48550/arxiv.2011.01980openalex-snapshot
On Ordered Fuzzy Numbers Generated By Time Series
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.