Browsing by Author "Narayanamoorthy, Samayan"

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Citation Count: Narayanamoorthy, Samayan...et al. (2021). "A new extension of hesitant fuzzy set: An application to an offshore wind turbine technology selection process", IET Renewable Power Generation, Vol. 15, No. 11, pp. 2340-2355.
A new extension of hesitant fuzzy set: An application to an offshore wind turbine technology selection process
(2021) Narayanamoorthy, Samayan; Ramya, Lakshmanaraj; Kang, Daekook; Baleanu, Dumitru; Kureethara, Joseph Varghese; Annapoorani, Veerappan; 56389
Wind energy is an energy source that is naturally clean, safe and cheap. It comes from a variety of sources. The electric energy generated by a wind turbine manifests as kinetic energy throughout the earth. The energy received from the wind is clean and is permanently available and can be generated forever. Turbine characteristics also have an impact on wind energy production. The turbine properties within a wind farm are important in estimating the load on power generation and wind turbine energy. The amount of energy released is calculated according to the type of the turbine model applied. In many situations, the choices of turbine model can incur various vague and complicated hesitation situations. To manage this situation, a hesitant fuzzy set with the Multi Criteria Decision Making (MCDM) is used. In the present research, the newly proposed Normal Wiggly Hesitant Fuzzy-Criteria Importance Through Intercriteria Correlation (NWHF-CRITIC) and Normal Wiggly Hesitant Fuzzy-Multi Attribute Utility Theory (NWHF-MAUT) methods were employed to rank turbine models based on quality, power level, voltage, and capacity. As part of this process, the NWHF method was utilized to extract and gather deeper information from the decision-makers.
Citation Count: Geetha, Selvaraj;...et.al. (2022). "An adoptive renewable energy resource selection using Hesitant Pythagorean Fuzzy DEMATEL and VIKOR methods", Journal of Intelligent and Fuzzy Systems, Vol.43, No.4, pp.4285-4302.
An adoptive renewable energy resource selection using Hesitant Pythagorean Fuzzy DEMATEL and VIKOR methods
(2022) Geetha, Selvaraj; Narayanamoorthy, Samayan; Kang, Daekook; Baleanu, Dumitru; 56389
Nowadays, energy from renewable energy resources (RERs) partially satisfies society's energy demands. Investment in the renewable energy system is an arduous task because of huge investments. Generally, RERs selection involves conflicting criteria. Hence there is necessary to evaluate the RERs alternatives in economic, technological, and environmental aspects. Here, DEMATEL (Decision Making Trial and Evaluation Laboratory) method has been utilized to assess the interrelationship among the criteria under hesitant Pythagorean fuzzy (HPF) information. The Pythagorean fuzzy set (PFS) has recently obtained enormous attention and is applied widely in decision-making. We have proposed an integrating model with DEMATEL and VIKOR (Vise Kriterijumska Optimizacija Kompromisno Resenje) methods to identify and evaluate the criteria and alternatives in RERs selection. Within the proposed model, the HPF-DEMATEL method is utilized for weighting the criteria, and the HPF-VIKOR method is utilized for ranking. Finally, an illustrative example demonstrates the proposed method.
Citation Count: Aicevarya, Devi S.;...et.al. (2022). "An intuitionistic fuzzy decision support system for COVID-19 lockdown relaxation protocols in India", Computers and Electrical Engineering, Vol.102, No.108166.
An intuitionistic fuzzy decision support system for COVID-19 lockdown relaxation protocols in India
(2022) Aicevarya, Devi S.; Felix, A.; Narayanamoorthy, Samayan; Ahmadian, Ali; Balaenu, Dumitru; Kang, Daekook; 56389
In January 2020, the World Health Organization (WHO) identified a world-threatening virus, SARS-CoV-2. To diminish the virus spread rate, India implemented a six-month-long lockdown. During this period, the Indian government lifted certain restrictions. Therefore, this study investigates the efficacy of India's lockdown relaxation protocols using fuzzy decision-making. The decision-making trial and evaluation laboratory (DEMATEL) is one of the fuzzy MCDM methods. When it is associated with intuitionistic fuzzy circumstances, it is known as the intuitionistic fuzzy DEMATEL (IF-DEMATEL) method. Moreover, converting intuitionistic fuzzy into a crisp score (CIFCS) algorithm is an aggregation technique utilized for the intuitionistic fuzzy set. By using IF-DEMATEL and CIFCS, the most efficient lockdown relaxation protocols for COVID-19 are determined. It also provides the cause and effect relationship of the lockdown relaxation protocols. Additionally, the comparative study is carried out through various DEMATEL methods to see the effectiveness of the result. The findings would be helpful to the government's decision-making process in the fight against the pandemic.
Citation Count: Narayanamoorthy, S...et al. (2019). "Analysis for Fractional-Order Predator–Prey Model With Uncertainty",Iet Systems Biology, Vol. 13, No. 6 pp. 277-289.
Analysis for Fractional-Order Predator–Prey Model With Uncertainty
(Institution of Engineering and Technology, 2019) Narayanamoorthy, Samayan; Baleanu, Dumitru; Thangapandi, Kalidas; Perera, S. S. N.; 56389
Here, the authors analyse the fractional-order predator–prey model with uncertainty, due to the vast applications in various ecological systems. The most of the ecological model do not have exact analytic solution, so they proposed a numerical technique for an approximate solution. In the proposed method, they have implemented the higher order term into the fractional Euler method to enhance the precise solution. Further, the present attempt is aimed to discuss the solutions of the FPPM with uncertainty (fuzzy) initial conditions. The initial conditions of the predator–prey model were taken as fuzzy initial conditions due to the fact that the ecological model highly depends on uncertain parameters such as growth/decay rate, climatic conditions, and chemical reactions. Finally, the numerical example manifest that the proposed method is authentic, applicable, easy to use from a computational viewpoint and the acquired outcomes are balanced with the existing method (HPM), which shows the efficiency of the proposed method
Citation Count: Narayanamoorthy, Samayan...et al., "Application of normal wiggly dual hesitant fuzzy sets to site selection for hydrogen underground storage", International Journal of Hydrogen Energy, Vol. 44, No. 54, pp. 28874-28892, (2019).
Application of normal wiggly dual hesitant fuzzy sets to site selection for hydrogen underground storage
(Pergamon-Elsevier Science LTD, 2019) Narayanamoorthy, Samayan; Ramya, L.; Baleanu, Dumitru; Kureethara, Joseph Varghese; Annapoorani, V.; 56389
The hesitant fuzzy set is a mathematical tool to express multiple values in decision making. If they could not give a resolution, it is important to give priority and importance to a number of different values. Here, we propose normal wiggly dual hesitant fuzzy set (NWDHFS), as an extension of normal wiggly hesitant fuzzy set. We define a new score function of normal wiggly dual hesitant fuzzy information. The NWDHFS can express deep ideas of membership and non-membership information. In this work, we use hesitant fuzzy set to expose the deepest ideas hidden in the thought-level of the decision makers. We show that the NWDHFS can handle the hesitant fuzzy information. It expresses the deeper ideas of hesitant fuzzy set. An illustration is provided to demonstrate the practicality and effectiveness to the application of site selection of the underground storage of hydrogen. We are compelled to look for alternating fuels to suits changing weather conditions and increasing number of vehicles. This alternative fuel is necessary to control global warming and to be economically viable. Based on this, hydrogen gas is selected as a good alternative fuel. The most important statement is the saving of the selected hydrogen gas. Thus, when saving hydrogen fuel, a safe storage space must be selected. Here, we use the MCDM ideas by use of proposed NWDHFV method is to select the appropriate hydrogen underground storage location. (C) 2019 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
Citation Count: Nithyanandham, Deva...et.al. (2023). "Bipolar intuitionistic fuzzy graph based decision-making model to identify flood vulnerable region", Environmental Science and Pollution Research.
Bipolar intuitionistic fuzzy graph based decision-making model to identify flood vulnerable region
(2023) Nithyanandham, Deva; Augustin, Felix; Narayanamoorthy, Samayan; Ahmadian, Ali; Baleanu, Dumitru; Kang, Daekook; 56389
Bipolar intuitionistic fuzzy graphs (BIFG) are an extension of fuzzy graphs that can effectively capture uncertain or imprecise information in various applications. In graph theory, the covering, matching, and domination problems are benchmark concepts applied to various domains. These concepts may not be defined precisely using a crisp graph when the vertices and edges are more uncertain. Therefore, this study defines the covering, matching and domination concepts in bipolar intuitionistic fuzzy graphs (BIFG) using effective edges with certain important results. To define these concepts when the effective edges are absent, some novel approaches are discussed. To illustrate the domination concepts, the applications in disaster management and location selection problems are discussed. Further, a BIFG-based decision-making model is designed to identify the flood-vulnerable zones in Chennai, where the city’s most and least vulnerable zones are identified. From the proposed model, Kodambakkam (Z10) is the most susceptible zone in Chennai. Finally, a comparative analysis is done with the existing techniques to show the efficiency of the model.
Citation Count: Kang, Daekook;...et.al. "Intuitionistic fuzzy MAUT-BW Delphi method for medication service robot selection during COVID-19", Operations Research Perspectives, Vol.9.
Intuitionistic fuzzy MAUT-BW Delphi method for medication service robot selection during COVID-19
(2022) Kang, Daekook; Devi, S. Aicevarya; Felix, Augustin; Narayanamoorthy, Samayan; Kalaiselvan, Samayan; Baleanu, Dumitru; Ahmadian, Ali; 56389
Coronavirus Disease 2019 (COVID-19), a new illness caused by a novel coronavirus, a member of the corona family of viruses, is currently posing a threat to all people, and it has become a significant challenge for healthcare organizations. Robotics are used among other strategies, to lower COVID's fatality and spread rates globally. The robot resembles the human body in shape and is a programmable mechanical device. As COVID is a highly contagious disease, the treatment for the critical stage COVID patients is decided to regulate through medication service robots (MSR). The use of service robots diminishes the spread of infection and human error and prevents frontline healthcare workers from exposing themselves to direct contact with the COVID illness. The selection of the most appropriate robot among different alternatives may be complex. So, there is a need for some mathematical tools for proper selection. Therefore, this study design the MAUT-BW Delphi method to analyze the selection of MSR for treating COVID patients using integrated fuzzy MCDM methods, and these alternatives are ranked by influencing criteria. The trapezoidal intuitionistic fuzzy numbers are beneficial and efficient for expressing vague information and are defuzzified using a novel algorithm called converting trapezoidal intuitionistic fuzzy numbers into crisp scores (CTrIFCS). The most suitable criteria are selected through the fuzzy Delphi method (FDM), and the selected criteria are weighted using the simplified best–worst method (SBWM). The performance between the alternatives and criteria is scrutinized under the multi-attribute utility theory (MAUT) method. Moreover, to assess the effectiveness of the proposed method, sensitivity and comparative analyses are conducted with the existing defuzzification techniques and distance measures. This study also ado
Citation Count: Geetha, Selvaraj...et al. (2021). "The hesitant Pythagorean fuzzy ELECTRE III: An adaptable recycling method for plastic materials", Journal of Cleaner Production, Vol. 291.
The hesitant Pythagorean fuzzy ELECTRE III: An adaptable recycling method for plastic materials
(2021) Geetha, Selvaraj; Narayanamoorthy, Samayan; Kureethara, Joseph Varghese; Baleanu, Dumitru; Kang, Daekook; 56389
In this research article, introduce a novel decision making method called HPF-ELECTRE method by extending the ELECTRE III (ELimination and Choice Expressing REality) method with HPF (Hesitant Pythagorean Fuzzy) set. The efficiency of the new method is testing in the plastic recycling problem. One of the most hazardous domestic materials is plastic. The low biodegradability nature of plastic is a serious threat to the environment and to human life. Plastic is a synthetic chemical that do not belong to the natural world. Owing to the non-biodegradability, the only way to deal with this modern-world problem is recycling. Finding a suitable recycling method for disposing and recycling plastic materials is a major research issue. Propose the HPF-ELECTRE III method to find out the adaptable recycling method for plastics materials. The outranking in HPF-ELECTRE III method expand on concordance and discordance acceptability value values. Established method is an effective tool for decision making problems.
Citation Count: Narayanamoorthy, Samayan...et.al. (2022). "The novel augmented Fermatean MCDM perspectives for identifying the optimal renewable energy power plant location", Sustainable Energy Technologies and Assessments, Vol.53, No.2.
The novel augmented Fermatean MCDM perspectives for identifying the optimal renewable energy power plant location
(2022) Narayanamoorthy, Samayan; Nallasivan Parthasarathy, Thirumalai; Pragathi, Subramaniam; Shanmugam, Ponnan; Baleanu, Dumitru; Ahmadian, Ali; Kang, Daekook; 56389
The Fermatean fuzzy set has been authorized as a suitable tool for the uncertainty and vagueness of information by augmenting the spatial space of acceptance membership and non-acceptance membership degrees of both intuitionistic and Pythagorean fuzzy sets. Solar energy does not emit any hazardous gases into the atmosphere, making it one of the most effective strategies to reduce global warming in the environment. Under a variety of circumstances, finding a spot for a photovoltaic solar power plant might be difficult. As a result, we experiment with multi-criteria decision-making (MCDM) techniques. We presented a hybrid technique based on the PV-SPSS method based on the Removal Effects of Criteria (MEREC) and Multiple Objective Optimization on the Basis of Ratio Analysis with Full Multiplicative Form (MULTIMOORA) analysis. The MEREC approach is used to calculate the weightage of each attribute, and MULTIMOORA is used to find the ranking of the alternatives. Also, a new rectified generalized score function determines the score value of FFSs. Culmination: the validity of the result is assessed by implementing the existing MCDM approaches and by changing the criterion weight.