PROMETHEE Method Research Articles

MODIFIED PROMETHEE V METHOD FOR SUPPLIER PORTFOLIO SELECTION

This paper focuses on the problem of supplier portfolio selection where a company has to choose the best possible set of suppliers with respect to various constraints. An intuitive heuristic can suggest to use any of the methods for suppliers ranking and then to put the first one into the portfolio. If some required constraint is not met, then the second supplier according to the ranking is added, and so on, until all the constraints are satisfied. However, such approach can result in a non-optimal decision. The constraints can cause that a combination of the alternatives with lower rankings can be better, than some higher-ranked alternative from the perspective of feasibility. To build the optimization model, the authors of this paper use the PROMETHEE V method: a popular combination of multi-criteria decision making method PROMETHEE and mixed integer programming. However, it is shown that the original PROMETHEE V method, namely the logic under which an objective function is set, is not suitable here and leads to discrimination of suppliers with worse ranking. Therefore, a modification, which brings more reasonable results, is proposed in this paper. A numerical example is used to show the suitability of the proposed approach and compare the results with the original algorithm and also with one prior modification introduced by by other authors in the past. The analysis is further supported by a thorough sensitivity analysis using flexible and parametric programming.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SEPEDA MENGGUNAKAN METODE PROMETHEE

Toko Sepeda Super Top is a shop that sells various kinds of bicycles in Sekadau Regency. Not a few consumers are confused in choosing a bicycle. Based on the survey, 59.3% of respondents stated that it is difficult to choose a new bicycle. To assist consumers in choosing a bicycle, we need a system that can support consumers in making decisions. This study utilizes a Decision Support System (DSS) to support Toko Sepeda Super Top consumers in choosing a bicycle that suits their needs. The DSS method used is the Promethee type I method with the criteria used in the form of brand, price, durability, design, weight, and accessories. The form of research used in this research is a case study with a software design method, namely the prototype method. The result of this research is a bicycle selection DSS software that can be accessed by two levels of users. Admin can process bicycle data by inputting, updating, and deleting data. Then ordinary users can use a decision support system with the Promethee method to assist in bicycle selection.

Development of a multicriteria model for crises in urban water supply and its application to the case of Brasilia, Brazil.

The expansion of urban water supply crisis (UWC) cases, a context characterized by an inadequate ratio between water consumption and supply capacity, has motivated researchers to search for tools to solve the problem. The objective of this study is to develop a multicriteria tool to help select the solution alternative for UWC cases. The tool (called UWC-MCDA) is based on obtaining consensus on various multicriteria methods for selecting alternatives to solve UWC cases. The proposed methodology consists of the following steps: (1) defining the criteria, (2) defining weights, (3) defining the alternative, (4) defining multicriterial decision support methods, (5) coding the UWC solution alternative selection model, (6) evaluation of the model coding, (7) application of the model coding, and (8) sensitivity analysis. The methods PROMETHEE II, TOPSIS, ELECTRE III, and Consensus ranking are used. The case study considered was the Administrative Region of Brasilia, in the Federal District of Brazil. A multicriteria tool to help select the solution alternative for UWC cases was developed in an easy-to-use environment (Visual Basic for Applications, MS Excel). The UWC-MCDA is able to identify and prioritize, among a set of possible alternatives, the most appropriate solution for the case in question. For the case study, the UWC-MCDA indicated the best alternatives for regulating water consumption, strengthening sanitation service operators and good water conservation practices. Integr Environ Assess Manag 2023;19:99-113. © 2022 SETAC.

Multicriteria Decision-Making Methods for Optimal Treatment Selection in Network Meta-Analysis.

Network meta-analysis exploits randomized data to compare multiple interventions and generate rankings. Selecting an optimal treatment may be complicated when multiple conflicting outcomes are evaluated in parallel. The present study suggested the incorporation of multicriteria decision-making methods in network meta-analyses to select the best intervention when multiple outcomes are of interest by creating partial and absolute rankings with the TOPSIS, VIKOR, and PROMETHEE algorithms. The TOPSIS and VIKOR techniques represent distance-based methods for compromise intervention selection, whereas the PROMETHEE analysis method allows the definition of preference and indifference thresholds. In addition, the PROMETHEE technique allows a variety of modeling options by selecting alternative preference functions. Different weights may be applied to outcomes objectively with the entropy method as well as subjectively with the analytic hierarchy process, enabling the individualization of treatment choice depending on the clinical scenario. Visualization of decision analysis may be performed with multicriteria score-adjusted scatterplots, while league tables may be constructed to depict the PROMETHEE I partial ordering of interventions. A simulated study was performed assuming equal weights of outcomes, and the TOPSIS, VIKOR, and PROMETHEE II methods were compared using a similarity coefficient, indicating a high degree of agreement among methods, especially with higher numbers of interventions. Multicriteria decision analysis provides a flexible and computationally direct way of selecting compromise interventions and visualizing treatment selection in network meta-analyses. Further research should provide empirical data about the implementation of multicriteria decision analysis in real-world network meta-analyses aiming to define the most suitable method depending on the clinical question. Multicriteria decision-making methods can be implemented in network meta-analysis to indicate compromise interventions.The TOPSIS, VIKOR, and PROMETHEE methods can be used for optimal treatment selection when conflicting outcomes are evaluated.The weights of outcomes can be defined objectively or subjectively, reflecting the priorities of the decision maker.

Neighborhood relation-based variable precision multigranulation Pythagorean fuzzy rough set approach for multi-attribute group decision making

Nowadays, the complexity of real decision-making problem makes people pay more and more attention to the effective evaluation and selection of decision methods. Considering that the Pythagorean fuzzy set (PFS) owing its better capacity can express the uncertainties of human inherent preferences, multigranulation Pythagorean fuzzy rough set (MGPFRS) model is proposed to handle uncertain multi-attribute group decision making (MAGDM) problem. We firstly build the δ−neighborhood relation over multi-attribute Pythagorean fuzzy decision making (MAPFDM) information system based on the distance measurement. Then, combined with the principle of variable precision rough set and PF information, the rough approximation of crisp and inaccuracy concept are discussed. That is, the variable precision multigranulation rough Pythagorean fuzzy set (VMGRPFS). On this basis, given the special case of fuzzy equivalence relation, we propose the variable precision multigranulation Pythagorean fuzzy rough set (VMGPFRS). Furthermore, some fascinating properties for the VMGRPFS and VMGPFRS model are given. The corresponding models of optimistic and pessimistic are deduced respectively. The interrelationship among of the established VMGRPFS and VMGPFRS with the classical multigranulation rough set are discussed in detail. In addition, a new MAGDM method with Pythagorean fuzzy information is proposed by using VMGPFRS and PROMETHEE methods. This method points out the basic principle and algorithm of decision making. Finally, we perform our established method to select the best photovoltaic cell and implement the comparative analysis which can verify the reliability and superiority of our approach.

Implementasi Metode Promethee Pada Sistem Pendukung Keputusan Pemilihan Pengajar

Tutoring is a process of providing learning assistance to students from elementary school to high school. One of the tutoring institutions in Jember Regency is Griya Belajar Pintar Arrava. Arrava always tries to provide the best services and facilities for its students by providing quality teachers. Qualified teachers can be obtained through a good teacher selection process. However, Arrava's leader, who also serves as a decision maker, always has difficulty in choosing new teachers. Efforts that can be made to overcome these difficulties are by building a decision support system for teacher selection. The decision support system for teacher selection can assist Arrava leaders in selecting qualified teachers by providing applicant recommendations based on the results of system calculations. One method that can be used in the selection of teachers is the Promethee method. Promethee is a method that is able to solve problems in determining the order (priority). Basically the Promethee method compares the scores between alternatives (applicants) based on each criterion, resulting in a more accurate decision. The results of this study indicate that the applicant who is ranked first is Nur Khotimah with a value of 0.362014, the second is Hendra Setiawan with a value of 0.245347, the third is Miftahul Arifin with a value of 0.000833, the fourth is Novi Ekasari with a value of -0.3025, and the fifth is Nurul Azizah with a value of -0.30569.

Application of Mathematical Modeling in Multi Criteria Decision Making Process: Intuitionistic Fuzzy PROMETHEE

In this paper, the intuitionistic fuzzy PROMETHEE method is explained in detail and an original application has been made. The aim of the paper is to bring innovation to the evaluation system in the field of education by using the intuitionistic fuzzy PROMETHEE method. The advantages of using the PROMETHEE method, which is one of the many methods used in multi-criteria decision-making problems, in the intuitionistic fuzzy sense are explained in detail. Intuitionistic fuzzy PROMETHEE is a method that attracts our attention thanks to its benefits such as allowing the researcher to observe the positive and negative rankings simultaneously, expressing the degree of hesitation, changing the significance weights of the criteria, and using different methods when identifying the significance levels for each criterion, putting the degree of hesitation of significance weights into action, and enabling decision-makers, who are given the opportunity to use different criteria types and different criteria types for alternatives and criteria, to establish a unique system; moreover, the method also provides us numerous advantages while using it in our application area. It is of great importance for decision-makers to determine the specific importance level for each criterion. In this paper, controlled sets are used to express the importance of the criteria in the form of intuitionistic fuzzy values. The intuitionistic fuzzy-based PROMETHEE algorithm, aiming to contribute to the education system by examining the factors affecting the students' achievement, is a unique algorithm, and it is the first to shed light on various researchers.

An integrated method for product ranking through online reviews based on evidential reasoning theory and stochastic dominance

Online reviews play an important role in consumers’ purchasing decisions. However, many online reviews confuse consumers when they wish to make a purchase but lack experience. To solve the problem of product ranking based on online reviews, two important issues must be addressed: sentiment analysis and product ranking based on multi-criteria decision-making (MCDM) methods. Therefore, this paper proposes an integrated MCDM method for product ranking through online reviews based on evidential reasoning (ER) theory and stochastic dominance (SD) rules. First, online reviews are preprocessed to obtain product attributes and weight values. Then, we use naive Bayes (NB), logistic regression (LR), and support vector machines (SVM) for the sentiment analysis of online reviews, and the results of the three classifiers are aggregated using ER theory. In addition, according to the confidence distribution matrix of sentiment orientations, SD rules are used to determine the stochastic dominance relations between pairwise alternatives for each attribute. Furthermore, we use the stochastic multi-criteria acceptability analysis (SMAA)-PROMETHEE method to obtain the final product ranking results and conduct sensitivity analysis. Finally, a case study on ranking computer products from JD Mall through online reviews is provided to illustrate the validity of the proposed method.

Investigation of the Success of Natural Regeneration Fields by Multi-Criteria Decision Making Technique

Natural regeneration management is one of the most important steps of silvicultural practices, and it is important for the short-term regeneration of forests that have completed their natural cycles. Sustainability of forests is possible with the correct determination of the problems and the implementation of the correct plans. In this study, the most successfully assessed area has proven to be accurately determinable with the PROMETHEE method, which is an effective ranking method that works by taking numerical data from the determined trial areas in the natural Scotch pine (Pinus sylvestris L.) regeneration area of a forest management directorate. Among the criteria used in the numerical method, we can find the average height, average root neck diameter, and an average number of natural youths. For these criteria, weighting was done with the help of the entropy method. Within the scope of these findings, it has been seen that the success in natural Scotch pine regeneration areas to be realized in other regions is tangibly seen in the numerical data. In addition, this numerical method is important in terms of time efficiency, labor, and economic outputs allocated to these studies.

MEMBER ELECTION DECISION SUPPORT SYSTEM SOUTH SUMATERA PASKIBRAKA USING TOPSIS-PROMETHEE METHOD

Paskibraka is the best young generation selected through various selections to raise and lower the Heritage Flag on Indonesian Independence Day. However, in the enthusiasm of the students to take part, the Dispora of South Sumatra Province still uses a manual assessment system so that several obstacles were found in its implementation. done with Microsoft Excel, as well as a calculation system that can only be used for one period, while this selection is an annual event that is held every time to celebrate Indonesian Independence Day. Therefore we need a way that can help the Dispora of South Sumatra Province in determining the best alternative for paskibraka members. One algorithm that is useful in decision support is Topsis. Topsis is used in the application of values for each criterion and a different range of values. Then using the Promethee method can improve the Topsis method because the Promethee method is used to determine the order of priority in multi-criteria analysis. The data taken by 60 participants were then researched according to predetermined criteria including written test scores, interview tests, health tests, physical fitness, and posture. Produced the best participants according to the system as many as 15 data. The results of the research test have an accuracy of 80%.

Investigation of Marine Current Energy Plant Using PROMETHEE Method

Investigation of Marine Current Energy Plant Using PROMETHEE Method

The Implementation Of Teacher Performance Assessment Through Promethee Method Approach (Case Study At Smkn 5 Seluma)

SMK Negeri 5 Seluma is one of the Vocational Schools in Seluma Regency, Bengkulu Province. At the school in every year a Teacher Performance Assessment or what is often referred to as PKG is carried out. There are 14 assessment criteria for teacher performance which are divided into 4 categories of assessment, namely Pedagogic, Personality, Social and Professional. So far, the processing of teacher performance assessment data has used the office application package, namely Excel (data attached) to provide grades and calculate the PKG scores obtained by the teacher in accordance with the applicable provisions. The implementation for assessing teacher performance at SMK Negeri 5 Seluma using Promethee Method was created using the Visual Basic.Net programming language (IDE Visual Studio 2010) and SQL Server 2008 database. The application for assessing teacher performance at SMK Negeri 5 Seluma it can be used as an alternative in helping to assess assessment of teachers in schools, so that it can be seen who has the best performance based on the ranking results obtained from the promethee. The application for assessing teacher performance at SMK Negeri 5 Seluma has applied Promethee method, so that the final assessment results for each teacher have gone through the calculation procedure for the Promethee method. The final assessment results will be sorted from the highest value to the lowest value by looking at the net flow value which is the result of subtracting the leaving flow and entering flow. Based on testing using 5 (five) teacher performance assessment data in 2019, the results obtained that Guru Isuadi, S.Pd got the highest score with a leaving flow value of 1.63, entering flow 1.63 and net flow 1.63. Based on the results of the same assessment on manual calculations, it is found that the results of calculations on the decision support system had the same value as the results of manual calculations that had been carried out. Applications can be used as an alternative in providing an assessment of teacher performance in schools.

SISTEM PENDUKUNG KEPUTUSAN REKRUTMEN TENAGA KEPENDIDIKAN MENGGUNAKAN METODE PROMETHEE

Recruitment of education employees in educational institutions is an action or process of an organization's efforts to obtain additional employees for operational purposes. Universitas YPPI Rembang as one of the universities in Central Java will implement a web-based decision support system that will be used to support the decision-making process in the recruitment of lecturers and educational staff. Collecting data and information and performing analysis using the PROMETHEE method by performing numerical computations. The results of this study indicate that the PROMETHEE method can be used as a tool to determine prospective education employees. The ranking results depend on the criteria value, weight value, and preference value. The application of this method can solve the problem of selecting education employees because it is selected based on a multi-criteria ranking.

Decision Support System Determination Of Achieving Students Using The Promethe Method At Smk Negeri 4 Kepahiang

SMK Negeri 4 Kepahiang is one of the State Vocational High Schools located in Kepahiang Regency, Bengkulu Province. So far, the assessment system for outstanding students in schools is carried out by registering students and looking at 4 aspects of the assessment, namely the value of knowledge, the value of absenteeism, the value of non-academic achievement, the value of attitudes and behavior. The determination process is still done manually, where the four aspects will be compared between one student and another so that it can be known with various considerations, so that 3 outstanding students are obtained from the number of students. This is of course an obstacle for the school, because sometimes it is difficult to determine outstanding students and it takes quite a long time. The Decision Support System for determining outstanding students at SMK Negeri 4 Kepahiang was made using the Visual Basic .Net programming language and SQL Server 2008r2 database, where in the application one of the Decision Support System Methods (SPK) was applied, namely the Promethee Method. This application can be used as an alternative in assisting the school in determining outstanding students each academic year. The Decision Support System for determining outstanding students at SMK Negeri 4 Kepahiang begins with student assessment data which is then processed into the Promethee Method according to the stages of the method, so as to produce a final score by sorting the highest score to the lowest value. Based on the assessment data for the 2021/2022 Academic Year as many as 4 students, the outstanding student was Alim Predika with a net flow value of 0.42..

Recovery and Resilience of the Inner Areas: Identifying Collective Policy Actions through PROMETHEE II

Inner areas are rural areas with low population density, distant from the main hotspots offering essential welfare services and endowed with significant environmental assets and cultural heritage. In Italy, their development is at the core of the national strategy for inner areas. Specific documents and program agreements were issued for each inner area and summarized the intervention themes and projects to implement. However, when the inner areas are considered within a regional territorial ‘matrix’, further collective policy actions have to be identified, through comparison and in-depth analysis of their features and influence on development. Therefore, this research aims to identify and analyse the development needs and potentialities of the inner areas, for strengthening the national strategy and improving their recovery and resilience through collective policy actions. The Multiple Criteria Decision Aiding (MCDA) method PROMETHEE II was applied as research methodology to four inner areas in Puglia region (southern Italy), using 43 indicators organized into seven thematic dimensions and setting specific parameters. The results enabled to delineate the overall development score of the four inner areas, and the profile of each inner area based on every indicator and dimension. By analysing this profile, key thematic dimensions where to direct collective policy actions were identified, related mainly to contrast with the depopulation by improving specific essential services (e.g., digitalization, health, education) and to foster the development of agriculture, tourism, and cultural heritage. This research can be considered a first step for future broader studies, to guide the process of policy making for the recovery and resilience of European and Italian inner areas with a multi-perspective approach.

Determination of the Red Mud Industrial Cluster Sites in Indonesia Based on Sustainability Aspect and Waste Management Analysis through PROMETHEE

Red mud storage is associated with an increased risk of dam failure and there is an urgent need to address the environmental problem caused by the very fine particle size (average 4.9 µm) of red mud with high alkalinity (pH = 10–12.5) in the alumina industry. The specific objective of this study was to investigate the use of red mud based on the “simulation” integrating the sustainability aspect through the PROMETHEE method. The data source is from a field survey with experts conducted at the research location from the province of West Kalimantan, Indonesia. The results of the study using the PROMETHEE ranking parameter showed that the best optimal industrial cluster sites were Ketapang, followed by Belitung Island, Mempawah, and Teluk Batang, with scores of 0.4167, 0.0476, 0.0, and −0.463, respectively. However, using economic input and environmental output, the efficient frontier showed that Ketapang, Teluk Batang, and Pulau Belitung are efficient sites. Considerably more work will need to be carried out to determine the strategic partner in the increasing significant added value in the red mud industrial cluster sites.

Application of The Fuzzy Promethee Method in Selecting Farmer Groups Verification for Candidates for Receiving Grants Regional Revenues And Expenditures Budget

The Bogor Regency Department of Fisheries and Livestock, in charge of the Breeding and Livestock Cultivation Section, has a work program to assist farmer groups, especially livestock, in acquiring aid funds from the government sourced from the Bogor Regency Regional Revenues and Expenditures Budget (APBD). As a result, the government allocates aid fundsfrom the Regional Revenues and Expenditures Budges (APBD) budget source to aid the community in managing livestock. Based on this, research will be conducted and methods used to determine which livestock farmer groups are eligible for government assistance will be implemented.A Decision Support System (DSS) will be used as a tool to recommend which farmer groups deserve assistance based on predetermined assessment criteria. By using the service, you will be able to provide a more accurate and objective evaluation. Because of its capacity to determine criteria values that contain uncertainty and select the best alternative based on these rankings and alternatives, the Fuzzy-PROMETHEE approach was chosen for handlingmulti criteria issues.

A ranking method with a preference relation based on the PROMETHEE method in incomplete multi-scale information systems

Multi-scale information systems (MSISs) contain more comprehensive evaluations with different scales than general single-scale counterparts, thus multi-criteria decision-making (MCDM) problems from MSISs are in line with practical scenarios. However, the loss problem of information encountered in decision-making processes brings certain troubles to MCDM. Due to this limitation, a ranking method based on a preference relation in incomplete multi-scale information systems (IMSISs) is proposed in this article. The core idea of the preference ranking organization method for enrichment evaluation II (PROMETHEE II method) is first introduced into IMSISs and a process on dealing with incomplete information in an IMSIS is developed. Then, a corresponding MCDM method is constructed into IMSISs. Finally, a numerical example with different parameters is employed to verify the usefulness of the constructed method, and a comparative study of the constructed method with other MCDM methods is explored to demonstrate the effectiveness of the newly presented method.

Analisis Pemilihan Pemasok Kelapa Sawit yang Berkelanjutan dengan Menggunakan Metode PROMETHEE (Studi Kasus pada PT Perkebunan Nusantara III)

Suppliers are one of the business partners who play an important role in ensuring the availability of raw materials needed in production activities in a company. Companies in meeting the needs of raw materials in production activities of course conduct a selection of suppliers who can meet the supply of quality raw materials and on time in the delivery of goods. The purpose of this study is to develop a method of assessing the performance of palm oil suppliers that does not only look at economic criteria but also pays attention to sustainability factors, namely economic, social and environmental criteria in choosing the best supplier. The supplier performance assessment method aims to obtain the priority of the selected supplier by using the Multi Criteria Decision Making-PROMETHEE method. Assessment of supplier selection is carried out by filling out a questionnaire by two expert respondents, namely the Chief Engineer and Quality Assurance Assistant. This case study of sustainable supplier performance assessment was conducted in one of the state-owned companies engaged in plantation commodities, namely PT Perkebunan Nusantara III. Based on the type of decision-making using the PROMETHEE method, the suppliers selected and meeting the supplier performance assessment with sustainability criteria were UD. Satya Radja and UD. Meji Jaya suppliers with the highest Net Flow value of 0,1250.

COVİD-19 SALGINININ GIDA SEKTÖRÜ ÜZERİNDEKİ FİNANSAL PERFORMANS ETKİSİNİN ENTROPİ TABANLI VE PROMETHEE YÖNTEMİ İLE ANALİZİ: 2017-2020 DÖNEMİ

Bu çalışmada, Kamuyu Aydınlatma Platformu’nda (KAP) bilgileri verilen ve 2017-2020 döneminde gıda sektöründe faaliyet gösteren 17 firmanın finansal performans analizleri incelenmiştir. Bu bağlamda finansal tablolardan elde edilen likidite, finansal, varlık-sermaye yapısı, faaliyet ve karlılık oranlarından oluşturulan 16 adet finansal oran kullanılmıştır. Entropi ve PROMETHEE yöntemleri kullanılarak firmaların finansal performans analizleri gerçekleştirilmiştir. Küresel boyutta birçok alanı etkisi altına alan Covid-19 salgının gıda sektöründeki firmaların finansal performanslarının etkisi araştırılmış ve salgının başladığı 2020 yılı ile önceki dönemleri kıyaslanarak değerlendirilmesi amaçlanmıştır. Bu anlamda Çok Kriterli Karar Verme (ÇKKV) tekniği olan Entropi yöntemi ile ağırlıklandırma hesaplanmış ve elde edilen ağırlıkların diğer bir ÇKKV tekniği olan PROMETHEE yöntemi kullanarak 2017-2020 dönemi finansal performans analizleri yapılmıştır. Çalışmada Covid-19 salgınının etkisinin başladığı 2020 yılı bir önceki döneme göre bazı gıda firmalarının finansal performanslarının arttığı ve bazı firmaların ise finansal performanslarının düştüğü tespit edilmiştir. Ayrıca 2017-2020 dönemi aritmetik ortalama finansal performans sıralamasına göre en başarılı firma KRVGD gıda firması olurken, en düşük finansal performans değerine sahip firma ise TETMT firması olduğu görülmüştür. 2017, 2018, 2019 ve 2020 yıllarında sırasıyla en iyi finansal performans sıralamayı gösteren BANVT, PETUN, ULKER ve KENT firmaları iken, verilen yıllarda sırasıyla en düşük finansal performans sıralamaya sahip TETMT, VANGD, VANGD ve TETMT firmaları olduğu tespit edilmiştir.