Orakanya Kanjanatarakul
Orakanya Kanjanatarakul
Chiangmai Rajabhat University
Verified email at cmru.ac.th - Homepage
TitleCited byYear
EK-NNclus: a clustering procedure based on the evidential K-nearest neighbor rule
T Denoeux, O Kanjanatarakul, S Sriboonchitta
Knowledge-Based Systems 88, 57-69, 2015
582015
Evidential clustering of large dissimilarity data
T Denœux, S Sriboonchitta, O Kanjanatarakul
Knowledge-Based Systems 106, 179-195, 2016
512016
Forecasting using belief functions: an application to marketing econometrics
O Kanjanatarakul, S Sriboonchitta, T Denoeux
International Journal of Approximate Reasoning 55 (5), 1113-1128, 2014
382014
Prediction of future observations using belief functions: A likelihood-based approach
O Kanjanatarakul, T Denœux, S Sriboonchitta
International Journal of Approximate Reasoning 72, 71-94, 2016
152016
Comparison of sales forecasting models for an innovative agro-industrial product: Bass model versus logistic function
O Kanjanatarakul, K Suriya
The Empirical Econometrics and Quantitative Economics Letters 1 (4), 89-106, 2012
122012
Evidential clustering: A review
T Denœux, O Kanjanatarakul
International Symposium on Integrated Uncertainty in Knowledge Modelling and …, 2016
102016
Beyond fuzzy, possibilistic and rough: an investigation of belief functions in clustering
T Denœux, O Kanjanatarakul
International Conference on Soft Methods in Probability and Statistics, 157-164, 2016
82016
Economic impact of agro-industrial sector on nationwide economy of Thailand: A general equilibrium approach
O Kanjanatarakul, K Suriya
The Empirical Econometrics and Quantitative Economics Letters 1 (4), 61-66, 2012
82012
Sufficient Number of Observations for Sales Forecasts with Limited Information: A Case of an Innovative Agro-Industrial Product.
O Kanjanatarakul, K Suriya
International Journal of Intelligent Technologies & Applied Statistics 6 (2), 2013
72013
An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization
O Kanjanatarakul, S Kuson, T Denoeux
International Conference on Belief Functions, 155-162, 2018
62018
Estimation and prediction using belief functions: Application to stochastic frontier analysis
O Kanjanatarakul, N Kaewsompong, S Sriboonchitta, T Denœux
Econometrics of risk, 171-184, 2015
52015
Role of government funding on the empowerment of the Royal Project Foundation: A general equilibrium approach
O Kanjanatarakul, K Suriya
The Empirical Econometrics and Quantitative Economics Letters 2 (1), 1-28, 2013
42013
A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
T Denœux, O Kanjanatarakul, S Sriboonchitta
International Journal of Approximate Reasoning 113, 287-302, 2019
32019
Distributed data fusion in the dempster-shafer framework
O Kanjanatarakul, T Denœux
2017 12th System of Systems Engineering Conference (SoSE), 1-6, 2017
32017
Econometric forecasting using linear regression and belief functions
O Kanjanatarakul, P Lertpongpiroon, S Singkharat, S Sriboonchitta
International Conference on Belief Functions, 304-312, 2014
32014
Sales forecasting with limited information: Comparison between cumulative observations and rolling windows
O Kanjanatarakul, K Suriya, C Hsiao, C Gourieroux
The Empirical Econometrics and Quantitative Economics Letters 3 (1), 11-24, 2014
32014
Forecasting the sales of an innovative agro-industrial product with limited information: A case of feta cheese from buffalo milk in Thailand
O Kanjanatarakul, K Suriya
Proceedings in the Ecomod2013 conference in Prague, 2013
32013
K-EVCLUS: Clustering large dissimilarity data in the belief function framework
O Kanjanatarakul, S Sriboonchitta, T Denoeux
International Conference on Belief Functions, 105-112, 2016
22016
Forecasting the sales of an innovative agro-industrial product with limited information: A case of feta cheese from buffalo milk in Thailand
K Suriya, O Kanjanatarakul
EcoMod2013, 2013
12013
Multistep Prediction using Point-Cloud Approximation of Continuous Belief Functions
T Denoeux, O Kanjanatarakul
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019
2019
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