Modification of triangular member’s function (TMF) based on firefly-chen fuzzy time series (FTS) method

Ningrum, R. W.; Surarso, Bayu; Farikhin,

doi:10.1088/1742-6596/1321/2/022077

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…According to the Cheng technique, the Fuzzy Logical Relation (FLR) is used to determine intervals, and all relations are taken into account while allocating weights. Forecasting time series data with FTS Cheng goes through the following processes [21]: 1. Determine the universe set (U) of actual data, namely:…”

Section: Fuzzy Time Series Chengmentioning

confidence: 99%

Forecasting the recovery of COVID-19 patients in East Java using the Fuzzy time series Cheng method

Yulianto

Faisol

Zahroh

et al. 2021

J. Nat. Scien. & Math. Res.

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Coronavirus 2019 (COVID-19) has significantly impacted Indonesia. Social restrictions in Indonesia's major cities and rural areas have been put in place as the coronavirus spreads. The Indonesian government is more vigilant with the spread of COVID-19, namely by issuing a lockdown policy to PSBB (Large-Scale Social Restrictions). Almost all Indonesian people have complied with the guidelines set by the government, namely carrying out all activities in a WFH manner to minimize the chain of distribution of COVID-19 in Indonesia. The author of this work forecasts the recovery rate of Covid-19 patients in the East Java region using the Cheng Fuzzy Time Series approach. After checking the simulation with real in the field, it can be seen that using 51 data starting from February 4 2021 to March 26 2021 gives results MAPE = 0.4602%, which means the forecasting is very accurate.©2021 JNSMR UIN Walisongo. All rights reserved.

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Section: Fuzzy Time Series Chengmentioning

confidence: 99%

Forecasting the recovery of COVID-19 patients in East Java using the Fuzzy time series Cheng method

Yulianto

Faisol

Zahroh

et al. 2021

J. Nat. Scien. & Math. Res.

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“…Abhishekh [1] build a weighted fuzzy time series model based on a two-factor logistic relationship to predict the historical data of the Sensex through symmetric TFNs. Ningrum [22] studied the difference between symmetric TFNs and asymmetric TFNs in prediction, and the final result shows that the prediction error of the asymmetric TFN is not as small as that of the symmetric TFN. Therefore, this paper focuses on the application of symmetric TFNs in prediction.…”

Section: Introductionmentioning

confidence: 99%

Continuous Triangular Fuzzy Generalized OWA Operator and Its Application to Combined Prediction

Zhou

Zhang

et al. 2023

Preprint

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In this paper, a new aggregation operator, called the continuous triangular fuzzy generalized ordered weighted averaging (CTF-GOWA) operator, is proposed for aggregating triangular fuzzy numbers (TFNs). In order to adapt to the uncertainty and complexity of prediction, differential polymerization method is used and a special form of CTF-GOWA operator is generated. In particular, the special cases of control parameters and basic unit monotone functions introduced in information aggregation is discussed and its credibility is verified. In addition, the CTF-GOWA operator is applied to the aggregation of multiple TFNs, and various aggregation operators are obtained, including the weighted CTF-GOWA (WCTF-GOWA) operator, the ordered WCTF-GOWA (OWCTF-GOWA) operator, and the combined CTF-GOWA (CCTF-GOWA) operator. Later, the induced variables are added to the OWCTF-GOWA operator to obtain the induced OWCTF-GOWA (IOWCTF-GOWA) operator, which is combined with the cosine similarity degree to construct a combined prediction model about the TFNs. The proposed model has the advantages of less computation, high accuracy, and more adaptability to the actual situation. Finally, the validity of the proposed model is verified by illustrative examples. Sensitivity and comparative analyses are also implemented to assess the stability and validity of our method.

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Prophet Algorithm Optimization with Particle Swarm Optimization for Adjusted Closing Price Forecasting in Xiaomi Corporation

Wijaya,

Sutikno,

Khadijah

et al. 2024

2024 7th International Conference on Informatics and Computational Sciences (ICICoS)

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Modification of triangular member’s function (TMF) based on firefly-chen fuzzy time series (FTS) method

Cited by 3 publications

References 7 publications

Forecasting the recovery of COVID-19 patients in East Java using the Fuzzy time series Cheng method

Forecasting the recovery of COVID-19 patients in East Java using the Fuzzy time series Cheng method

Continuous Triangular Fuzzy Generalized OWA Operator and Its Application to Combined Prediction

Prophet Algorithm Optimization with Particle Swarm Optimization for Adjusted Closing Price Forecasting in Xiaomi Corporation

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