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Prediction of Sunspots using Fuzzy Logic: A triangular membership function-based Fuzzy C-Means Approach

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2021年第2期12卷 357-362页

作者： Azam, Muhammad Hamza Hasan, Mohd Hilmi Kadir, Said Jadid Abdul Hassan, Saima Univ Teknol Petronas Ctr Res Data Sci Seri Iskandar 32610 Perak Malaysia Kohat Univ Sci & Technol Inst Comp Kohat 26000 Pakistan

Fuzzy logic is an algorithm that works on "degree of truth", instead of the conventional crisp logic where the possible answer can be 1 or 0. Fuzzy logic resembles human thinking as it considers all the possible outcomes between 1 and 0 and it tries to reflect reality. Generation of membership functions is the key factor of fuzzy logic. An approach for generating fuzzy gaussian and triangular membership function using fuzzy c-means is considered in this research. The problem related to sunspot prediction is considered and its accuracy is calculated. It is evident from the results that the proposed technique of generating membership functions using fuzzy c-means can be adopted for predicting sunspots.

关键词： Fuzzy logics fuzzy c-means (FCM) Gaussian membership function prediction sunspots triangular membership function

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Use of triangular membership function for prediction of compressive strength of concrete containing nanosilica

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COGENT ENGINEERING 2015年第1期2卷 1-N.PAG页

作者： Gupta, Sakshi Amity Univ ASET Dept Civil Engn Gurgaon Haryana India

In this paper, application of fuzzy logic technique using triangular membership function for developing models for predicting compressive strength of concrete with partial replacement of cement with nanosilica has been carried out. For this, the data have been taken from various literatures and help in optimizing the constituents available and reducing cost and efforts in studying design to develop mixes by predefining suitable range for experimenting. The use of nanostructured materials in concrete can add many benefits that are directly related to the durability of various cementitious materials, besides the fact that it is possible to reduce the quantities of cement in the composite. Successful prediction by the model indicates that fuzzy logic could be a useful modelling tool for engineers and research scientists in the area of cement and concrete. Compressive strength values of concrete can be predicted in fuzzy logic models without attempting any experiments in a quite short period of time with tiny error rates.

关键词： Fuzzy Logic Nanosilica Concrete Compressive strength prediction triangular membership function Modelling

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Smart grid reliability evaluation and assessment

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KYBERNETES 2023年第9期52卷 3261-3291页

作者： Mashal, Ibrahim Aqaba Univ Technol Dept Software Engn Aqaba Jordan

Purpose Smart grid is an integration between traditional electricity grid and communication systems and networks. Providing reliable services and functions is a critical challenge for the success and diffusion of smart grids that needs to be addressed. The purpose of this study is to determine the critical criteria that affect smart grid reliability from the perspective of users and investigate the role big data plays in smart grid reliability. Design/methodology/approach This study presents a model to investigate and identify criteria that influence smart grid reliability from the perspective of users. The model consists of 12 sub-criteria covering big data management, communication system and system characteristics aspects. Multi-criteria decision-making approach is applied to analyze data and prioritize the criteria using the fuzzy analytic hierarchy process based on the triangular fuzzy numbers. Data was collected from 16 experts in the fields of smart grid and Internet of things. Findings The results show that the "Big Data Management" criterion has a significant impact on smart grid reliability followed by the "System Characteristics" criterion. The "Data Analytics" and the "Data Visualization" were ranked as the most influential sub-criteria on smart grid reliability. Moreover, sensitivity analysis has been applied to investigate the stability and robustness of results. The findings of this paper provide useful implications for academicians, engineers, policymakers and many other smart grid stakeholders. Originality/value The users are not expected to actively participate in smart grid and its services without understanding their perceptions on smart grid reliability. Very few works have studied smart grid reliability from the perspective of users. This study attempts to fill this considerable gap in literature by proposing a fuzzy model to prioritize smart grid reliability criteria.

关键词： Smart grid reliability Fuzzy analytic hierarchy process Multi-criteria decision-making Big data management Sensitivity analysis triangular membership function

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Plasmodium vivax in Thin Blood Smear Classification Using Fuzzy Inference System With Automatic membership functions and Rules Generation 21

Plasmodium vivax in Thin Blood Smear Classification Using Fu...

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21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)

作者： Turakit, Satanan Auephanwiriyakul, Sansanee Theera-Umpon, Nipon Chiang Mai Univ Fac Engn Comp Engn Dept Grad Sch Chiang Mai Thailand Chiang Mai Univ Fac Engn Biomed Engn Inst Comp Engn DeptBiomed Engn & Innovat Res Ctr Chiang Mai Thailand Chiang Mai Univ Fac Engn Biomed Engn Inst Elect Engn DeptBiomed Engn & Innovat Res Ctr Chiang Mai Thailand

ISBN: (纸本)9798350381566;9798350381559

Malaria can be spread to human by anopheles female mosquitoes. There are four prevalent Plasmodium species responsible for malaria in humans. One of the four species, Plasmodium vivax or P. vivax, is selected in this paper. Its infected cell detection system based on image processing is developed. We automatically generate membership functions of inputs using the possibilistic fuzzy C-means. The Wang-Mendel (WM) method is used to automatically generate rules in the Mamdani fuzzy inference system. Although there are misclassifications because of the wrongly classified cells with similar characteristics to the opposite class, the correct classification rate of the training data is 93.65%. Whereas that of the blind test data set is 99.58%.

关键词： triangular membership function possibilistic fuzzy C-Means Wang-Mendel Method Type-1 fuzzy Plasmodium Vivax

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The modified fuzzy mortality model based on the algebra of ordered fuzzy numbers

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BIOMETRICAL JOURNAL 2021年第3期63卷 671-689页

作者： Szymanski, Andrzej Rossa, Agnieszka Univ Lodz Inst Stat & Demog St Rewolucji 190541 PL-90214 Lodz Poland

The new trends in fuzzy analysis are based on the algebraic approach to fuzzy numbers. The essential idea in such an approach is representing the membership function of a fuzzy number as an element of any square-integrable function space. As a starting point, we consider the Koissi-Shapiro model known as a fuzzy version of the Lee-Carter mortality model, in which triangular membership functions of fuzzy variables are assumed. In our approach, the algebra of ordered fuzzy numbers is used to reformulate the fuzzy Lee-Carter mortality model and to improve the prediction accuracy.

关键词： algebraic approach fuzzy numbers mortality modeling triangular membership function

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Grey wolf optimization-based fuzzy-PID controller for load frequency control in multi-area power systems

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Journal of Automation and Intelligence 2025年

作者： Limon, Md. Faiyaj Ahmed Upoma, Rhydita Shahrin Sinha, Nomita Swarna, Shristi Roy Nath, Bidyut Kanti Khanum, Kulsuma Rahman, Md Jubaer Iqbal, Md. Shahid Department of Electrical & Electronic Engineering Sylhet Engineering College Sylhet 3100 Bangladesh Department of Electrical and Electronic Engineering Leading University Sylhet 3112 Bangladesh Department of Electrical & Electronic Engineering Dhaka University of Engineering & Technology Gazipur 1707 Bangladesh

This study develops a GWO-optimized cascaded fuzzy-PID controller with triangular membership functions for load frequency control in interconnected power systems. The controller's effectiveness is demonstrated on thermal–thermal and hybrid thermal–hydro–gas power systems. The controller parameters were tuned using the Integral Time Absolute Error (ITAE) objective function, which was also evaluated alongside other objective functions (IAE, ISE, and ITSE) to ensure high precision in frequency stabilization. To validate the effectiveness of the triangular membership function, comparisons were made with fuzzy-PID controllers employing trapezoidal and Gaussian membership functions. Performance metrics, including ITAE, settling time, overshoot, and undershoot of frequency deviation, as well as tie-line power deviation, were evaluated. Robustness was established through a comprehensive sensitivity analysis with T_G, T_T, and T_R parameter variations (±50%), a non-linearity analysis incorporating Generation Rate Constraint (GRC) and Governor Deadband (GDB), a random Step Load Perturbation (SLP) over 0–100 s, and also Stability analysis of the proposed scheme is conducted using multiple approaches, including frequency-domain analysis, Lyapunov stability theory, and eigenvalue analysis. Additionally, the system incorporating thermal, hydro, and gas turbines, along with advanced components like CES and HVDC links, was analysed. Comparisons were conducted against controllers optimized using Modified Grasshopper Optimization Algorithm (MGOA), Honey Badger Algorithm (HBA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Spider Monkey Optimization (SMO) algorithms. Results demonstrate that the GWO-based fuzzy-PID controller outperforms the alternatives, exhibiting superior performance across all evaluated metrics. This highlights the potential of the proposed approach as a robust solution for load frequency control in complex and d

关键词： Fuzzy-PID controller Grey wolf algorithm ITAE Load frequency triangular membership function

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Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on Stochastic Petri nets

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RELIABILITY ENGINEERING & SYSTEM SAFETY 2022年第0期226卷

作者： Liu, Shuanglei Li, Weijun Gao, Peng Sun, Yibo Shandong Univ Sci & Technol Coll Safety & Environm Engn Sch Safety & Emergency Management Qingdao Peoples R China China Classificat Soc Certificat Co Qingdao Shandong Peoples R China

Efficient emergency disposal on site after gas leakage is crucial to avoid accident escalatio and expansion. However, current performance analysis studies of emerency disposal process are insufficient due to the uncer-tainty of rescue time prediction. In this paper, we aimed to explore the integration of triangular membership and regional center method to SPN for the modeling and evaluation of gas leakage emergency rescue process in gas transmission station. The stochastic Petri nets model was established by considering the interrelation of each execution stage of emergency disposal. Considering the subjectivity of expert analysis, triangular membership function and regional center method were combined to obtain the values of firing delays. Then isomorphic Markov chain was built from the SPN model and the stability probability linear equations were obtained. By calculating the transition utilization rate and place busy probability, the critical places and transitions were obtained. The list of critical emergency disposal stages and actions was generated, based on which counter-measures were presented for the risk reduction of gas leakage emergency disposal process in gas transmission stations.

关键词： Emergency disposal process Stochastic petri nets triangular membership function Gas leakage Gas transmission station

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A fuzzy approach to identify fish red spot disease

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GREY SYSTEMS-THEORY AND APPLICATION 2020年第3期10卷 249-263页

作者： Bhoi, Sourav Kumar Panda, Sanjaya Kumar Jena, Kalyan Kumar Mallick, Chittaranjan Khan, Akhtar Biju Patnaik Univ Technol Parala Maharaja Engn Coll Dept CSE Berhampur India Natl Inst Technol Warangal Dept CSE Warangal Andhra Pradesh India Biju Patnaik Univ Technol Parala Maharaja Engn Coll Dept Math Berhampur India Indian Inst Informat Technol Design & Mfg Kurnool Kurnool India

Purpose Fish are considered as one of the important aquatic animals in the planet. They play a vital role in the nutrient cycle. They can be considered as one of the healthy food for human beings. They can also act as a solution for some of the human health problems. If fish are affected by several diseases, they in turn provide an adverse effect on human health. Therefore, it is very much essential to protect fish from being affected by any diseases. Design/methodology/approach This paper is mainly focused on the identification of the red spot diseased area in fish. In this work, a fuzzy rule based method (FRBAM) and triangular membership function (TMFN) is used to identify the red spot disease (RSD) in the fish by analyzing several red spot diseased fish (RSDF) images. The canny edge detector is used for intermediate processing of RSDF images. Findings The proposed method is able to identify the red pixels over the fish by marking the affected area with red color by using a standard RGB model. Originality/value The proposed method follows FRBAM and TMFN in order to detect the RSD and canny edge detector for processing of RSDF images. Finally, it is tested using ten different image sizes and the results show its better performance in terms of detection of RSD affected regions of fish and execution time.

关键词： Fuzzy rule based method Red green blue model Red spot diseased fish triangular membership function

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Fuzzy Stress-Strength Reliability Subject to Exponentiated Power Generalized Weibull

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ENGINEERING LETTERS 2022年第1期30卷 45页

作者： Temraz, Neama Salah Youssef Prince Sattam Bin Abdulaziz Univ Coll Arts & Sci Al Kharj Egypt Tanta Univ Dept Math Fac Sci Tanta Egypt

In this paper, a study of the stress-strength reliability model is introduced subject to the exponentiated power generalized Weibull distribution. The maximum likelihood estimator for the stress-strength reliability function is deduced. The asymptotic confidence interval for the stressstrength reliability function is derived. The fuzzy stressstrength reliability function is discussed using the triangular membership function. A Bayesian estimator for the stressstrength reliability function is deduced. A real data application is introduced to show the results for the stress-strength model based on real data and compare the use of exponentiated power generalized Weibull distribution with existing distributions.

关键词： Reliability Stress-strength exponentiated power generalized Weibull distribution maximum likelihood estimation Bayesian estimation fuzzy number triangular membership function

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Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems

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MATERIALS RESEARCH EXPRESS 2021年第12期8卷 126524-126524页

作者： Devendran, P. Varthanan, P. Ashoka SNS Coll Technol Coimbatore Tamil Nadu India Sri Krishna Coll Engn & Technol Coimbatore Tamil Nadu India

Welding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The quality of the welding process is more reliable by automating the process with robots. In this research work, the GMAW operation is automated with the 'Fanuc Robot Arc mate 100iC/12' robot. The material characteristics such as ultimate tensile strength, hardness, and impact strength of weldments are predicted using a fuzzy system using triangular membership function (TrMF) and trapezoidal membership function (TMF). The simulated results are validated by comparing with experimental work, the experiments are designed using orthogonal array L18, and material characteristics are studied using fractography test. The fuzzy system is trained with experimental results using the IF-Then rule base with the help of the L18 orthogonal array. The inference system has predicted the accuracy rate of weldment mechanical properties, showing a lower error rate.

关键词： fuzzy logic systems GMAW Trapezoidal membership function triangular membership function weldment mechanical properties Robot-assisted welding

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