Applying the structural equation model rule-based fuzzy system with genetic algorithm for trading in currency market

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value, and USD index. In addition, a risk factor of volatility of currency returns is considered to develop a risk-controllable fuzzy inference system. The rational and linguistic knowledge-based fuzzy rules are established based on the SEM model and then optimized using the genetic algorithm. The empirical results reveal that the fuzzy logic trading system using the SEM indeed outperforms the buy-and-hold strategy. Moreover, when considering the risk factor of currency volatility, the performance appears significantly better. Remarkably, the trading strategy is apparently affected when the USD value or the volatility of currency returns shifts into either a higher or lower state.Knowledge-based Systems, Fuzzy Sets, Structural Equation Model (SEM), Genetic Algorithm (GA), Currency Volatility

Applying the structural equation model rule-based fuzzy system with genetic algorithm for trading in currency market

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value, and USD index. In addition, a risk factor of volatility of currency returns is considered to develop a risk-controllable fuzzy inference system. The rational and linguistic knowledge-based fuzzy rules are established based on the SEM model and then optimized using the genetic algorithm. The empirical results reveal that the fuzzy logic trading system using the SEM indeed outperforms the buy-and-hold strategy. Moreover, when considering the risk factor of currency volatility, the performance appears significantly better. Remarkably, the trading strategy is apparently affected when the USD value or the volatility of currency returns shifts into either a higher or lower state

Applying the structural equation model rule-based fuzzy system with genetic algorithm for trading in currency market

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value, and USD index. In addition, a risk factor of volatility of currency returns is considered to develop a risk-controllable fuzzy inference system. The rational and linguistic knowledge-based fuzzy rules are established based on the SEM model and then optimized using the genetic algorithm. The empirical results reveal that the fuzzy logic trading system using the SEM indeed outperforms the buy-and-hold strategy. Moreover, when considering the risk factor of currency volatility, the performance appears significantly better. Remarkably, the trading strategy is apparently affected when the USD value or the volatility of currency returns shifts into either a higher or lower state

Effect of far-infrared radiation on perineal wound pain and sexual function in primiparous women undergoing an episiotomy

Objective: To evaluate the effect of far-infrared radiation on postpartum perineal pain and sexual function in primiparous women undergoing an episiotomy and 2nd degree perineal laceration. Materials and methods: From May 2016 to May 2017, primiparous women with term pregnancies and vaginal deliveries with an episiotomy due to obstetric indications and 2nd degree perineal lacerations were invited to participate in this study. Women were randomly assigned into a far-infrared (FIR) group and a control group. Visual Analogue Scale (VAS) was used to evaluate the perineal pain immediately postpartum, and at 1 week and 6 weeks postpartum. Pelvic Organ Prolapse Urinary Incontinence Sexual Questionnaire (PISQ-12) was used to evaluate sexual function at 6 weeks, 3 months and 6 months postpartum. Results: The data of the control group (n = 22) and FIR group (n = 18) were analyzed. Most of the women had minor perineal pain one week after delivery (1.1 ± 0.9 in control group vs 1.4 ± 1.5 in FIR group) and there was no significant difference between groups. The FIR group had a higher PISQ-12 total score at 3 months (35.4 ± 6.4 vs 34.7 ± 5.7) and 6 months (36.4 ± 5.6 vs 35.6 ± 5.7) postpartum compared with the control group but there was no statistically significant difference. Conclusion: Our study did not show any additional benefit of postpartum far-infrared radiation on primiparous women undergoing an episiotomy and 2nd degree perineal lacerations. Keywords: Far-infrared radiation, Episiotomy, Perineal pain, Sexual functio