EDAS Method Research Articles

Analisis Dalam Pendukung Keputusan Penerimaan Supervisor Industri Manufacturing dengan Menerapkan Metode EDAS dan Pembobotan ROC

Manufacturing industry supervisor is one of the jobs engaged in processing raw goods into whole or semi-finished goods. Honest and responsible supervisors in the company are needed. Therefore, the company is opening the acceptance of supervisors who have a high responsible spirit. However, in accepting supervisors is not an easy thing because finding people who really have a high leadership spirit and are responsible is not an easy thing, therefore a system is needed that can help the company find a decision. The system is a decision support system and in finding these decisions several criteria are needed including Education, Experience, Leadership Ability, Good Interpersonal and Responsibility. And also in order to get accurate results that deserve to be supervisors can use methods where researchers use EDAS methods and ROC weighting. So in the research conducted by the author obtained the highest ranking found in alternative AD7 on behalf of Bambang with a total value of 1,00000 who was selected to be a supervisor of the manufacturing industry with complete requirements and the highest value.

Correction: A Modified EDAS Method Based on Cumulative Prospect Theory for MAGDM with 2-Tuple Linguistic Pythagorean Fuzzy Information

Correction: A Modified EDAS Method Based on Cumulative Prospect Theory for MAGDM with 2-Tuple Linguistic Pythagorean Fuzzy Information

EDAS-aided intelligent decision-making in interior decoration design quality assessment using 2-tuple linguistic pythagorean fuzzy sets

Interior decoration design can refine its functions, improve environmental quality, improve spatial form, and is closely related to buildings, structures, equipment, etc. The quality of interior decoration design directly affects a series of issues such as safety, quality, cost savings, environmental protection, and aesthetic practicality of the project, and the quality inspection of interior decoration design can control the safety, quality, cost savings, environmental protection, and aesthetic practicality of the interior decoration project in advance, reducing the occurrence of safety and quality accidents during construction and use, And it plays a proactive role in cost saving and environmental protection of decoration projects, and can also provide reasonable suggestions in terms of aesthetics, practicality, etc., so as to make indoor decoration projects safer and more perfect. The quality evaluation of interior decoration design is a classical multiple attribute group decision making (MAGDM) problem. This paper extends the EDAS method to the 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs). On the basis of the original EDAS method, 2-tuple linguistic Pythagorean fuzzy EDAS (2TLPF-EDAS) method based on the Hamming distance and Euclid distance is built for MAGDM. The information entropy method is used to obtain the weight information based on the score function and accuracy function under 2TLPFSs. Finally, a case study for quality evaluation of interior decoration design show that the new method proposed in this paper is reasonable.

Penerapan Sistem Pendukung Keputusan Dengan Menggunakan Metode EDAS Dalam Seleksi Penerimaan Penyiar Radio

A broadcaster is an individual who is responsible for conveying information, entertainment, and interacting with listeners through radio broadcasts. In the world of radio broadcasting, there are a number of criteria that must be met including education, self-confidence, musical knowledge, vocal quality and communication skills. However, the selection process often faces several challenges, including bias in selection and a lack of transparency and objectivity. Some radio stations still use conventional methods such as direct interviews or written tests, which have proven to be less effective. This is where modern technology and selection methods, such as Decision Support Systems (DSS), can play an important role. SPK is information technology that assists in decision making during the radio announcer selection process, with the aim of increasing the effectiveness and efficiency of decisions. Research using the EDAS (Distance From Average Solution) method has proven that the application of SPK can improve the radio announcer selection process. Radio stations can produce high-quality broadcasters and ensure broadcasts that appeal to listeners. The calculation results using the EDAS method show a value of 1 in the Q1 criterion on behalf of Setyowati Budi, validating the success of the selection process.

Developing Adaptive Multi Dimension Road Construction Management Using EDAS Technique

Adaptive road construction project Management is considered a major challenge in economic development issues. This research looks intothe many variables that can have an impact on building projects. Unfortunately, infrastructure projects in Iraq have slowed the country's progress, so effective methods of project management using actual databases are urgently needed. This research established a centralized data bank with a collection of specialized maps depicting the status of infrastructure projects in Iraq, and it also produced an advanced administrative system via effective success and failure elements that allow administration of projects. Implementing adaptive features during road construction projects is the primary problem of this study. There were two stages to the study methodology; the first was the Delphi technique, which was used to determine the first set of influential elements. The EDAS method was employed in the second approach, and it provided the most useful information regarding the aspects that could affect road construction projects positively or negatively. According to the findings, there were a number of effective factors that could lead to the failure of road construction projects. These included insufficient site security, poor site management and supervision, ineffective field management, inexperienced equipment operators, and insufficient consultant experience. The findings may be helpful for the policy makers and the practitioners in future.

Method for multiple attribute group decision making with single-valued neutrosophic number and applications to service quality evaluation of urban public transport

In the process of urban development in our country, the traffic problem is a major problem that must be faced. At present, there are serious traffic jams in many cities, and with the use of a large number of private cars, the air environment in the cities is gradually deteriorated, which also brings a lot of energy consumption. Only by vigorously developing public transportation and encouraging and guiding citizens to choose the public transportation system as their travel mode can we give full play to the value of road resources. The service quality evaluation of urban public transport is viewed as the multiple attribute group decision making (MAGDM) issue. In this paper, the EDAS method is extended to the single-valued neutrosophic sets (SVNSs) setting to deal with MAGDM and the computational steps for all designs are listed. Finally, the service quality evaluation of urban public transport is given to demonstrate the SVNN-EDAS model and some good comparative analysis is done to demonstrate the SVNN-EDAS.

An extended EDAS method with circular intuitionistic fuzzy value features and its application to multi-criteria decision-making process

An extended EDAS method with circular intuitionistic fuzzy value features and its application to multi-criteria decision-making process

Intelligent Method for Classifying the Level of Anthropogenic Disasters

Anthropogenic disasters pose a challenge to management in the modern world. At the same time, it is important to have accurate and timely information to assess the level of danger and take appropriate measures to eliminate disasters. Therefore, the purpose of the paper is to develop an effective method for assessing the level of anthropogenic disasters based on information from witnesses to the event. For this purpose, a conceptual model for assessing the consequences of anthropogenic disasters is proposed, the main components of which are the following ones: the analysis of collected data, modeling and assessment of their consequences. The main characteristics of the intelligent method for classifying the level of anthropogenic disasters are considered, in particular, exploratory data analysis using the EDA method, classification based on textual data using SMOTE, and data classification by the ensemble method of machine learning using boosting. The experimental results confirmed that for textual data, the best classification is at level V and level I with an error of 0.97 and 0.94, respectively, and the average error estimate is 0.68. For quantitative data, the classification accuracy of Potential Accident Level relative to Industry Sector is 77%, and the f1-score is 0.88, which indicates a fairly high accuracy of the model. The architecture of a mobile application for classifying the level of anthropogenic disasters has been developed, which reduces the time required to assess consequences of danger in the region. In addition, the proposed approach ensures interaction with dynamic and uncertain environments, which makes it an effective tool for classifying.

Phosphatenes as Building Blocks for The Synthesis of Triphosphate Heterocycles Using the EDAS Method

Toy blocks, commonly referred to as "building blocks," are angular pieces used for pretend construction. Some are straightforward wooden boards. Some are more upscale, such as plastic Mega blocks and Legoland bricks. A construction brick is used for additive development, a supportive brick is used for stability, and a lock brick is used to stiffen constructions. These are the four basic building pieces. formation. Cast concrete is used to make concrete bricks Industrial waste may be used in low population density blocks. The sturdy masonry structure used bricks and stones, which are made up of individual pieces of a similar form laid down in stages with mortar acting as a mattress and binding substance. They typically consist of components that can be carried and operated by a single employee that are manufactured from high mass elements with good strength properties. Alternative: “democratic involvement and scrutiny, Democratic decision-making, nteraction and participation, forms download, online advisory, Online query, Online transaction, Navigability”. Evaluation Preference: “(UK-A1, Ireland-A2, Belgium-A3, Netherlands-A4, Finland-A5, Sweden-A6, Germany-A7 and Denmark-A8)”. “As a result, A3 and got the first rank, while A6 got the lowest rank. “The value of the dataset for building blocks in the EDAS method shows that it results in Belgium-A3 and the best ranking.”.

AN INTEGRATED DECISION SUPPORT SYSTEM FOR STOCK INVESTMENT BASED ON SPHERICAL FUZZY PT-EDAS METHOD AND MEREC

The stock investment selection could be deemed as a classic multiple attribute group decision making (MAGDM) problem involving multiple conflicts and interleaved qualitative and quantitative attributes. Spherical fuzzy sets (SFSs) can excavate the potential vagueness and intricacy in MAGDM more effectively and deeply. This article we propose an integrated decision support system (IDSS) based on SFSs, prospect theory (PT), distance from average solution (EDAS) method and the MEthod based on the Removal Effects of Criteria (MEREC). The proposed IDSS, called SF-PT-EDAS-MEREC model, uses SFSs to describe the uncertain and obscure assessment information of DMs. The combination of PT and EDAS (PT-EDAS) method adequately captures DMs’ psychological behavior characteristics to execute more reasonable alternative evaluation. The MEREC is utilized to efficaciously obtain unknown attribute weights. In addition, this paper also presents a novel score function to compare spherical fuzzy numbers (SFNs) more directly and efficiently. Eventually, in order to illustrate the practicability of the proposed IDSS, two numerical examples of stock investment selection are employed to achieve this. Meanwhile, the comparative study with existing approach further demonstrates the effectiveness and superiority of SF-PT-EDAS-MEREC model.

A Web-based Group Decision Support System for Retail Product Sales a Case Study on Padang, Indonesia

The industrial sector's growth has led to an increase in the number of industrial products available in the market. However, this has made it more challenging for retail merchants to choose which items to sell due to the overwhelming number of options. The seller must carefully consider various factors such as the type, quality, and probability of selling the goods to turn a profit. This research proposes a group decision support system to assist retail sellers in selecting the products to sell. The system is designed to process various information on comparing retail products against specific criteria, enabling sellers to make quick and accurate decisions. To achieve optimal results, this study combines three methods in the decision-making calculation process: Fuzzy Logic, EDAS, and Borda methods. The Fuzzy Logic method is used to assign a value to an unclear criterion, followed by the EDAS method ranking process, and ending with the combination of the decision-making results using the Borda method. The group decision support system is web-based and has been proven to provide effective solutions for retail business actors to increase sales and reduce losses. By using this system, retail sellers can make informed decisions about their products, enabling them to optimize their profits and reduce their risks. In conclusion, the increase in the number of industrial products has created challenges for retail merchants, but this research proposes a solution in the form of a group decision support system. Combining Fuzzy Logic, EDAS, and Borda methods results in an effective decision-making process that allows retail sellers to make informed decisions and achieve their business goals.

Enhancing Efficiency and Cost-Effectiveness: A Groundbreaking Bi-Algorithm MCDM Approach

Numerous scholars have thoroughly studied the topic of choosing machines considering the progress and technological growth seen in machinery options. This scholarly investigation explores decision-making methods specifically designed to aid the selection of machines in manufacturing businesses. Additionally, this research emphasizes the need for decision-making frameworks in manufacturing facilities, highlighting the importance of smart machine selection strategies in those contexts. In this research, we show a dual-MCDM approach that includes DEX—decision experts—and the EDAS method that are popularly employed to solve decision-making problems in both academic and practical industries. Throughout the previous decade, business leaders and managers increasingly use MCDM solutions to overcome machine selection challenges. At this time, while various decision-support technologies and procedures have been developed and used, it is essential that we discuss the sequence of our study objectives and drive the proposed method for widening use in practical firms. In short, this research may be helpful as a literature review for MDCM studies and related topics. It will also help executives, engineers, and specialists determine which equipment or machines to create and increase product quality in manufacturing and industry.

An integrated group decision-making method for brand packaging design effect evaluation based on the 2-tuple linguistic Pythagorean fuzzy sets

In the current era of economic and cultural globalization, the demand for packaging design is increasing, and the packaging design requirements for brands and products in the entire consumer market are becoming increasingly strict and refined. Designers are facing one greater challenge after another. Packaging design, as a comprehensive discipline that integrates commerce, culture, and art, diverse cultural forms and elements will run through the entire process of brand packaging design. Good products need to be sold through good channels in order to achieve greater value. As a bridge connecting products and the market, the role of packaging design is even more evident. It can not only improve the recognition of products, but also help enterprises stand out among many similar products, thereby increasing product value. The brand packaging design effect evaluation is a classical multiple attribute group decision making (MAGDM) problem. This paper extends the EDAS method to the 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs). On the basis of the original EDAS method, 2-tuple linguistic Pythagorean fuzzy EDAS (2TLPF-EDAS) method is built for MAGDM. Finally, a case study for brand packaging design effect evaluation show that the new method proposed in this paper is reasonable.

An integrated fuzzy group decision-making model for construction enterprise contractor selection based on EDAS method and Information entropy

With the rapid development of China’s construction industry, the competition in the construction industry is becoming increasingly fierce. Enterprises need to continuously improve their competitiveness in the market. Some non-core businesses can be outsourced to professional contractors. At present, contractors have more and more influence on the operation and development of enterprises. Whether it is the construction period or the quality of the project, it will have a greater impact on the operation of the construction project. In the environment of increasingly fierce market competition and increasing project quality requirements, for the construction project contracting enterprises, in order to achieve the goal of low cost and high quality, it is necessary to select the most suitable contractor on the basis of comprehensive consideration of multiple factors. The construction enterprise contractor selection is a classical multiple attribute group decision making (MAGDM) problem. In recent years, the MAGDM problem has become an important research field in modern decision science. This paper extends the EDAS method to the 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs). On the basis of the original EDAS method, 2-tuple linguistic Pythagorean fuzzy EDAS (2TLPF-EDAS) is built for MAGDM. Finally, a case study for construction enterprise contractor selection and some comparative analysis with the other methods show that the new method proposed in this paper is effective, reasonable and accurate.

Spare parts inventory classification using Neutrosophic Fuzzy EDAS method in the aviation industry

Spare parts inventory classification using Neutrosophic Fuzzy EDAS method in the aviation industry

Implementation of EDAS Method in the Selection of the Best Students with ROC Weighting

This study aims to provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The EDAS method requires a lot of input, and preference must be precise in the determination of the weight of the criteria. To fix the problem of weighting criteria in the EDAS method, the Centroid Rank Order (ROC) method is used. ROC is a simple method used to assign weight values to each criterion used. The results of this study provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The application of the EDAS method in the selection of exemplary student candidates resulted in exemplary prospective students obtained on behalf of Hadi Santoso with a final score of 0.70885 and obtained 1st rank. The results of these recommendations can help the school determine the selection of the best students by applying the EDAS method and ROC weighting.

Identifying and Mitigating Harmful Comments on Social Networking Sites using NLP, Machine Learning, and the EDAS Method

This short investigates the assessment of online education and its usefulness as a learning instrument. The research looks on the many assessment approaches that are used to measure the results and effect of e-learning programmers. It investigates the role of student satisfaction, knowledge acquisition, and skill development in etermining the effectiveness of e-learning. The abstract discusses the difficulties and constraints in measuring e-learning, as well as the necessity for standardized evaluation frameworks. Finally, the goal of this research is to give insights into the assessment process, so assisting educators and poli-cymakers in making informed judgements about integrating e-learning into educational institutions. Introduction: The introduc-tion gives an outline of e-learning assessment and its significance in current education. E-learning has gained popularity as an adaptable and readily available learning method, but its performance must be assessed to ensure optimal results. The purpose of this introduction is to emphasize the need of evaluating e-learning programmers to identify their influence on student happi-ness, acquisition of knowledge, and skill development. It also highlights the need of a standardized assessment framework in facilitating accurate and trustworthy evaluations. Educators and policymakers may make more informed judgements to increase the efficacy of e-learning projects if they understand the evaluation process. Research significance: The assessment of e-learning research is critical in the realm of education. For starters, it allows educators to assess the efficacy of e-learning pro-grammers in reaching targeted learning objectives. Second, it sheds light on how e-learning affects student satisfaction and engagement. Third, this esearch identifies opportunities for improvement in the design and delivery of e-learning. It also con-tributes to the establishment of a standardized assessment system, which promotes comparability and dependability across various e-learning programmers. Finally, the significance of this research resides in its capacity to increase the quality and effi-cacy of e-learning practices, resulting in better educational experiences for students. Method: The Grey Relationship Analysis (GRA) approach is a decision-making tool designed to analyses and assess connections between variables in circumstances when information is ambiguous or inadequate. It is especially beneficial when working with systems with insufficient data or dynamic and complicated interactions. GRA use grey numbers to show the data's uncertainty and incompleteness, enabling for more exact analysis. By generating grey relational grade, the approach assists decision makers to arrive at informed choices by identifying the most significant elements or factors in a system. GRA can be used in a variety of industries, including banking, technology, and management, where there is ambiguous or partial information. Alternative parameters: Analysis, Design, De-velopment, Implementation, Evaluation. Evaluation parameters: E-Learning Environment, Webpage Connection, Learning Rec-ords, Instruction Materials. Result: Analysis in 3rd rank, Design in 4th rank, development in 2nd rank, implementation in 5th rank, evaluation 1st rank. Conclusion: evaluation of e learning is progressed. Here is the rank for alternative parameters Analy-sis in 3rd rank, Design in 4th rank, development in 2nd rank, implementation in 5th rank, evaluation 1st rank.

Sistem Pendukung Keputusan Pemilihan Sales Supervisor Menerapkan Metode EDAS berdasarkan Pembobotan ROC

Sales is a job that aims to sell a product in the form of goods, services and others and provide the best service to consumers or buyers. Sales will work optimally if managed properly. The person who works to manage sales work is a sales supervisor. Sales Supervisor is someone who is responsible for managing the work procedures of each sales person under his control. A supervisor is required to be able to control every task implementation of a salesperson. If the company hires someone who is not qualified to be a sales supervisor, it will cause losses. So to determine the sales supervisor, a system is needed that will help select good and quality sales supervisor candidates according to the criteria set by the company. The right system to assist companies in making elections is SPK. Decision support system (DSS) is a system that is deliberately created to assist certain parties in making decisions with quality and objective results. SPK requires a method. In this study the method used is the EDAS method. The EDAS method has a function, namely to produce a ranking value by implementing mathematical formulations correctly according to the rules. The mathematical formulation is systematically arranged by experts and produces a ranking value which will eventually be assembled into an accurate decision. From the results of this study, a value of 0.5348 was obtained by Mandala as an alternative to B7, which is the best sales supervisor candidate

Research on Evaluation of Financial Risks in Agricultural Product Supply Chains Based on An Improved DEMATEL Method

In order to improve the rationality, accuracy, and timeliness of decisions on financial risks in agricultural product supply chains, it is necessary to evaluate and control these risks sensibly. In this paper, research is conducted on financial risk factors in agricultural product supply chains, and on this basis a financial risk evaluation index system for such supply chains is built in four identified dimensions – credit risk, market risk, pledge risk, and supply chain relation risk. Next, the weights of risk indexes are measured by means of combined weighting based on subjective F-AHP method and objective CRITIC method. The final risk weight coefficients are then derived with EDAS method. With the aid of an improved DEMATEL method, the agricultural product supply chain financial risk factors are analyzed, and comprehensive impact degrees of different risk factors in agricultural product supply chains are calculated. The calculation results show that financial risks in agricultural product supply chains are highly influenced by cooperation level, performance record, and financial standing and repayment history of borrowing organization. Based on the findings of this paper, appropriate financial risk management and control measures can be developed in light of the key risk factors identified in agricultural product supply chains, thereby providing a valuable reference for financial risk control in agricultural product supply chains.

Sustainable supplier selection by using dual probabilistic linguistic EDAS and ITARA method

With the development of globalization, companies from all over the world are now more closely connected, and they all play different roles in the industry in which they are located. There are more and more companies in a complete supply chain, which can greatly influence the stability of the supply chain, presents certain challenges. Therefore, choosing suppliers with sustainable development capabilities, especially in the event of interruption, can ensure the stability of the entire supply chain, thereby enhancing the company’s image and competitive advantage in a large-scale competition. The sustainable supplier selection is a classical multiple attribute group decision making (MAGDM) issues. In this study, the dual probabilistic linguistic EDAS (DPL-EDAS) method is built based on the traditional EDAS method and dual probabilistic linguistic term sets (DPLTSs). Firstly, the DPLTSs is introduced. Then, combine the traditional EDAS method with DPLTSs information, the DPL-EDAS method is established and the computing steps for MAGDM are built. Finally, there are a numerical case involving sustainable supplier selection and some comparisons in this paper. The comparisons are used to illustrate advantages of DPL-EDAS method.