A logical analysis of Mamdani-type fuzzy inference, II. An experiment on the technical analysis of financial markets

Bova, Simone; Codara, Pietro; Maccari, Daniele; Marra, Vincenzo

doi:10.1109/fuzzy.2010.5584834

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…FLC (Fuzzy Logic Controller) is a control method that basically resembles the human mindset in making a decision randomly or uncertainly (vague), namely a value located between 0 and 1. The method used in this study is the fuzzy Mamdani method is one of the parts of the fuzzy inference system (FIS) because there is an Arduino program library and the process has been optimized to work in microcontrollers [9]. In this control system has its own set, namely the fuzzy set that has a certain degree of membership.…”

Section: Logical Fuzzymentioning

confidence: 99%

Fuzzy Logic Control System for Optimizing Dual-Axis Solar Panel Tracking

Rahman,

Fattah,

Asni

et al. 2024

E3S Web Conf.

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The utilization of solar energy through solar panels has gained considerable attention in renewable energy applications. However, the effectiveness of energy conversion is hindered by the misalignment of solar panels with the incident sunlight. To address this issue, a dual-axis solar tracker system is proposed to automatically adjust the orientation of solar panels, enhancing energy generation efficiency. This research introduces a novel approach using a fuzzy logic control system to regulate the movement of stepper motors responsible for adjusting the solar panel positions. The system relies on input data from Light-Dependent Resistor (LDR) sensors to detect the sunlight’s position. Additionally, voltage, current, and angle sensors are integrated to accurately determine the solar panels angular position. The fuzzy logic control system employs the Mamdani method with Mean of Maximum (MOM) defuzzification. A comprehensive analysis of the systems performance was conducted, demonstrating that the manual calculations yielded 0.87 and 0.59 micro steps, while the Fuzzy Inference System (FIS) produced 0.35 and 0.26 micro steps. These results were verified through the serial monitor in the Arduino Integrated Development Environment (IDE). This research focuses on the development of a microcontroller-based two-axis solar panel control system using fuzzy logic. The system’s primary objective is to maximize solar energy utilization by ensuring that solar panels consistently align with the direction of sunlight, both vertically and horizontally. The proposed system offers an effective means of enhancing the efficiency of solar panel energy generation by continuously optimizing their alignment with the incident sunlight.

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Section: Logical Fuzzymentioning

confidence: 99%

Fuzzy Logic Control System for Optimizing Dual-Axis Solar Panel Tracking

Rahman,

Fattah,

Asni

et al. 2024

E3S Web Conf.

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“…In this study Mamdani Fuzzy model is used. Finally, Defuzzification is applied to convert the fuzzy output set to a crisp output (Bova and Codara, 2010). Fuzzy rules are formed from fuzzy metagraph shown in Fig.…”

Section: Fuzzy Expert Systemmentioning

confidence: 99%

Technical Analysis of Fuzzy Metagraph Based Decision Support System for Capital Market

Thirunavukarasu¹

2013

Journal of Computer Science

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This study proposes a Fuzzy Metagraph based Decision Support System (DSS) for short term and long term investment in share market. This rule base decision system will help traders to make correct decision at very low risk. Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD) and WILLIAM-%R are some of the Technical Indicators which are used as input to train the system which is integrated with Fuzzy Metagraph. This approach of incorporating Fuzzy Metagraph with RSI, MACD and WILLIAM-%R would be a new attempt in decision making on share market investment. Stocks listed in Bombay Stock Exchange (BSE) in India are used to evaluate the performance of the system. The results obtained from the proposed Fuzzy Metagraph based model are found to be satisfactory with very low risk. Three most used technical indicators MACD, RSI and WILLIAM-%R integrated with Fuzzy Metagraph are used to support the system. This method reduces the risk factor considerably for both short term and long term investors.

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