Estimating Probability Values Based on Naïve Bayes for Fuzzy Random Regression Model
In the process of treating uncertainties of fuzziness and randomness in real regression application, fuzzy random regression was introduced to address the limitation of classical regression which can only fit precise data. However, there is no systematic procedure to identify randomness by means o...
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my.uthm.eprints.106082024-01-15T07:30:29Z http://eprints.uthm.edu.my/10608/ Estimating Probability Values Based on Naïve Bayes for Fuzzy Random Regression Model Mohd Rahman, Hamijah Arbaiy, Nureize Chuah Chai Wen, Chuah Chai Wen Pei-Chun Lin, Pei-Chun Lin T Technology (General) In the process of treating uncertainties of fuzziness and randomness in real regression application, fuzzy random regression was introduced to address the limitation of classical regression which can only fit precise data. However, there is no systematic procedure to identify randomness by means of probability theories. Besides, the existing model mostly concerned in fuzzy equation without considering the discussion on probability equation though random plays a pivotal role in fuzzy random regression model. Hence, this paper proposed a systematic procedure of Naïve Bayes to estimate the probabilities value to overcome randomness. From the result, it shows that the accuracy of Naïve Bayes model can be improved by considering the probability estimation. ijacsa 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/10608/1/J16599_c36a87cfb6ca4c06d67a665909747d79.pdf Mohd Rahman, Hamijah and Arbaiy, Nureize and Chuah Chai Wen, Chuah Chai Wen and Pei-Chun Lin, Pei-Chun Lin (2023) Estimating Probability Values Based on Naïve Bayes for Fuzzy Random Regression Model. International Journal of Advanced Computer Science and Applications, 14 (8). pp. 579-583. |
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T Technology (General) Mohd Rahman, Hamijah Arbaiy, Nureize Chuah Chai Wen, Chuah Chai Wen Pei-Chun Lin, Pei-Chun Lin Estimating Probability Values Based on Naïve Bayes for Fuzzy Random Regression Model |
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In the process of treating uncertainties of fuzziness
and randomness in real regression application, fuzzy random
regression was introduced to address the limitation of classical regression which can only fit precise data. However, there is no systematic procedure to identify randomness by means of probability theories. Besides, the existing model mostly concerned in fuzzy equation without considering the discussion on probability equation though random plays a pivotal role in fuzzy random regression model. Hence, this paper proposed a systematic procedure of Naïve Bayes to estimate the probabilities value to overcome randomness. From the result, it shows that the accuracy of Naïve Bayes model can be improved by considering the probability estimation. |
format |
Article |
author |
Mohd Rahman, Hamijah Arbaiy, Nureize Chuah Chai Wen, Chuah Chai Wen Pei-Chun Lin, Pei-Chun Lin |
author_facet |
Mohd Rahman, Hamijah Arbaiy, Nureize Chuah Chai Wen, Chuah Chai Wen Pei-Chun Lin, Pei-Chun Lin |
author_sort |
Mohd Rahman, Hamijah |
title |
Estimating Probability Values Based on Naïve Bayes
for Fuzzy Random Regression Model |
title_short |
Estimating Probability Values Based on Naïve Bayes
for Fuzzy Random Regression Model |
title_full |
Estimating Probability Values Based on Naïve Bayes
for Fuzzy Random Regression Model |
title_fullStr |
Estimating Probability Values Based on Naïve Bayes
for Fuzzy Random Regression Model |
title_full_unstemmed |
Estimating Probability Values Based on Naïve Bayes
for Fuzzy Random Regression Model |
title_sort |
estimating probability values based on naïve bayes
for fuzzy random regression model |
publisher |
ijacsa |
publishDate |
2023 |
url |
http://eprints.uthm.edu.my/10608/1/J16599_c36a87cfb6ca4c06d67a665909747d79.pdf http://eprints.uthm.edu.my/10608/ |
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1789427599285420032 |
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13.211869 |