PROMETHEE Method Research Articles

ANALYSIS OF TRADE EFFICIENCY IN SERBIA BASED ON THE PROMETHEE METHOD

Various methods of multi-criteria optimization have been developed and have recently been widely applied in trade. With this in mind, this paper investigates the efficiency of trade in Serbia based on the Promethee method. Using this method, in relation to the analysis of the analysis, we can more accurately assess the efficiency of trade in Serbia in the function of improvement in the future by taking appropriate more efficient measures. The results of research obtained using the Promethee method show that the efficiency of trade in Serbia has been continuously increasing recently. It was the best in 2020. It was positively influenced by numerous macro and micro factors, such as: favorable economic climate, low inflation, lower interest rates, foreign retail chains, increased employment, increased living standards, stable exchange rate, digitalization of the entire business, etc. The impact of the Covid-19 coronary virus pandemic on trade efficiency in Serbia is negligible. It is, among other things, largely neutralized with the increase in electronic sales. This is the case in other countries as well (as evidenced by the recently published available empirical data of Eurostat for European Union distribution trade). Empirical research shows that this is not, however, the case with other sectors in Serbia, such as transport and storage, tourism and catering, banks, etc. To increase (or maintain the existing) efficiency of trade in Serbia in the future, it is necessary to improve the efficiency of management of human resources, assets, capital, sales and profits. The main problem is that there are no similar empirical studies of trade efficiency in other countries, which limits international comparison. This paper can therefore serve as an impetus for future similar empirical research.

Website Design with Higher Search Engine Ranking using Multi-Criteria Decision Model

Websites compete fiercely for the highest rank in search engines. The benefits lie in lower advertisement cost and better promotion effect of the websites for business activities. Therefore, every company expects their website to appear in the top 10 or on the first page of search engines, making web developers highly competitive to get into the highest rank on search engines. In this paper, we explore and evaluate the ability of the PROMETHEE method to index and rank websites based on multi-criteria analysis for the first time. The results are verified with an analytical solution derived manually and validated against Google results. This method allows companies to conveniently compare their websites’ popularity with competitors’ in the search engine, so it can be a powerful tool to improve their websites’ ranking by using the feedback-loop concept to boost their marketing strategy.

A hybrid fuzzy investment assessment framework for offshore wind-photovoltaic-hydrogen storage project

The offshore wind power-photovoltaic-hydrogen storage (OWPH) system has been considerably valued due to its advantages in improving power quality and increasing the absorption capacity of renewable energy power generation. To promote the rapid development and smooth implementation of the OWPH system, constructing a scientific investment decision-making framework is of utmost significance. Firstly, a criteria system that includes economy, resource, environment and support conditions, is established, where probabilistic hesitant fuzzy elements are introduced to depict the quantitative indicators and hesitant fuzzy linguistic term sets are employed by decision-makers to evaluate qualitative indicators. Then, a relative-entropy-based model is built to calculate the importance of decision-makers and a weighting model combining probabilistic linguistic-DEMATEL with the idea of maximizing deviation method is also built to compute the criteria weights. Moreover, an S-shaped utility-based PROMETHEE method is proposed to determine the optimal investment alternative(s). Finally, the proposed framework is applied in a case study to certificate the feasibility. The results illustrate that scheme A2 possesses the optimal comprehensive performance and the ranking order may vary with the change of decision-makers’ risk attitudes. This research provides investors with scientific decision reference and also extend the methods in the decision-making field.

Multicriteria Visual Approach to the Analysis of Water Quality—A Case Study of the Tisa River Basin in Serbia

The aim of this research is to provide the assessment of water quality with a wider scheme of interrelations between the water quality parameters and locations using a reliable visual approach of multicriteria PROMETHEE and GAIA methods. The case study of one of the largest and regionally most important catchment areas on the territory of the Republic of Serbia—the Tisa River Basin—was therein used. The analysis of water quality included scenarios for warm (summer), cold (winter), and average annual period. A partial and complete ranking of locations according to the quality of water was performed by applying the PROMETHEE method and expanded afterward by GAIA method analysis to point out critical locations with endangered water quality (M6, M4, and M11). Identified locations were then investigated in more detail using spider web graphs that revealed water quality variables of concern (PO4-P and N) and indicated the causes of its occurrence. The obtained results are in accordance with the results of physical and chemical tests that are regularly conducted by the official government agencies for environmental protection and the reports that are presented to the public. The presented approach can easily be applied to any water body to point out both the locations with reduced water quality and the specific parameters (causes) that affect the reduction of water quality at these locations, thereby enhancing and strengthening usual water quality assessments as well as water resources management in general.

An Application of The PROMETHEE Method To Select The Best Response for Carbon Fibre Reinforced Plastic Drilling in Machining Operations

The manufacture of carbon fibre reinforced plastic (CFRP) composites from carbon fibres fused with epoxy matrix, deploying the hand layup method has raised considerable attention. Within this research domain, drilling with various tools such as coated and uncoated drills is of great significance. Unfortunately, the use of intuition and experience to select the best parameter in the drilling operation has been known to be less efficient, causing the inadequate distribution of drilling resources to actualize the effectiveness of drilling parameters. Energy wastages are also associated with the present practice of intuition in drilling process. In this study, a novel approach of PROMETHEE I and II are presented to avoid ineffectiveness in drilling resource distribution and select the best drilling operations parameters. The proposed method utilizes experimental data from the literature to verify the method's performance. This study helps in reducing waste due to the inadequate distribution of drilling operations sources. PROMETHEE analyses the drilling parameters of the CFRP composites using preference functions that map the differences among alternatives during machining judgments. Out of the six responses examined, the best response is exit delamination with a weight of 0.059, surface roughness with a weight of 0.031emerged as the second position, torque weighing 0.003 took the 3rd position while the last position is entry delamination, weighing -0.102.

Analysis of the Paskibraka Acceptance Selection Sensitivity Test Using Topsis and Promethee Methods at the Youth and Sports Office of Bengkulu City

The Youth and Sports Office of Bengkulu City is a selection committee for Paskibraka candidates which is carried out every year. The assessment of post-baraka candidates consists of 8 aspects, namely Parade, PBB, Psychotest, Samapta/Physical, Health and Fitness, Interview, Regional Arts, and General Knowledge (data attached). The results of the assessment will be recapitulated to determine which participants succeeded in passing and which participants failed to pass, so that from this recapitulation it can be announced at the end of the selection activity. The analysis of the sensitivity test for the selection of paskibraka admissions using the TOPSIS method and the Promethee method at the Bengkulu City Youth and Sports Office was carried out by comparing the final results obtained from the two methods based on the assessment data of each paskribraka candidate. The analysis is done by looking at the number of criteria used, the processing time and also the ranking results. In helping the process of comparative analysis of the two methods, an application was built using the Visual Basic .Net programming language. where the application will show the results of the comparison of the TOPSIS and Promethee methods. Based on the tests that have been carried out, the results show that the application functionality can run well and is able to display the results of the assessment on each prospective paskibraka according to the stages of the TOPSIS and Promethee methods, in terms of processing time the TOPSIS method is faster than the Promethee method.

MULTI-CRITERIA ANALYSIS OF COMPROMISE ROAD ALIGNMENT SOLUTION FOR ROUTE 2A - SECTION KRUPA TO BOČAC

<jats:p>The subject of this analysis is the selection of the road alignment of Route 2a on the section Krupa - Bočac (Republic of Srpska). The complexity of the problem is reflected in the fact that a number of conflicting criteria of different stakeholders should be taken into account; i.e. criteria that are important from the aspect of road managers, criteria from the aspect of users and criteria society as a whole. The PROMETHEE method was used to determine compromise solution. Detailed comparative analysis of all parameters showed that variant 0 of the Krupa - Bočac section is a first ranked compromise solution. Sensitivity analysis has shown that the first place is stable by most criteria. Decision support framework presented in this paper can help future researchers and decision makers with similar problem.</jats:p>

Sustainability assessment of wastewater treatment systems using cardinal weights and PROMETHEE method: case study of Morocco.

To cope with water scarcity, Morocco needs to integrate the reuse of treated wastewater fully into its water management strategies. However, this option imposes several concerns about the appropriate wastewater treatment system (WWTS) whose performance is balanced by technical, environmental, financial, and societal sustainability. To deal with these challenges, the present study aims to assess the sustainability of five WWTS using the cardinal (CAR) and PROMETHEE methods. After hierarchizing the criteria and identifying the WWTS, two separate surveys were performed in order to rank criteria and alternatives by preference strength. The delivered rankings were converted, then, respectively into cardinal weights (criteria) and cardinal scores (alternatives). The PROMETHEE rankings showed that the membrane systems are the most sustainable followed by trickling filters, while the infiltration-percolation is the least sustainable WWTS. The activated sludge and lagoon systems were incomparable using PROMETHEE I partial ranking, and they were both ranked in the third position of sustainability. In contrast, PROMETHEE II complete ranking favored the activated sludge than lagoon systems due to its slightly high net outranking flow. The stability intervals indicated that the weights of all criteria could not affect the two first actions, which is mainly due to the high precision and robustness of the CAR method in eliciting weights. Finally, each criterion affected variably the sustainability of WWTS according to their characteristics, but overall, the process efficiency is the key factor (21.07% of weight) to reaching higher sustainability levels in addition to gaseous emissions (12.41% of weight), flexibility (8.32% of weight), and energy requirement (7.50% of weight).

Two-stage weighted PROMETHEE II with results' visualization.

Multicriteria decision-making methods are widely spread and used to assist the decision-makers to resolve problems. Many of the methods are simple to deploy (WSA, TOPSIS), which is an advantage and because of the computer boom, there is no problem with calculations. However, more sophisticated methods are evolving. The modelling of preferences is improved (from linear in WSA to Gaussian in PROMETHEE), multilevel decision-making (such as AHP) is extended to modelling of dependencies between individual criteria (ANP). The presented method, two-stage weighted PROMETHEE, combines the advantages of generalized preferential functions in PROMETHEE methods, unambiguous arrangement (PROMETHEE II) and hierarchical approach (AHP). In addition, this paper demonstrates the application of the method to evaluate the order of 14 regions of the Czech Republic in regard to economic indices such as the unemployment rate, economic activity, average age, wages, free working places, income, consumption and investments. Data are taken from the Czech Statistical Office web and include the years 2012–2019. In the first stage, the position of each region is calculated; in the second stage, all years mentioned are considered, including the aspect of the weighted time series. Result visualization is made possible using the Visual PROMETHEE software.

Sistem Pendukung Keputusan Penilaian Kinerja Mahasiswa KIP Kuliah dengan Penerapan Metode TOPSIS dan PROMETHEE

CIC University is one of the Private Universities (PTS) in the Computer Sector which is located in the city of Cirebon. CIC University's consistency in the field of IT (Information Technology) so that college students in it can apply IT knowledge to campus facilities. One of the systems currently not owned by CIC University is a decision support system for assessing the performance of college students receiving KIP Kuliah. Assessment of college student performance, especially for scholarship recipients at a university, is a very important form of activity to evaluate performance in improving the quality of performance of scholarship recipients, as a form of measurable responsibility as scholarship recipients both academically and non-academicly and as a form of assessing whether students is still eligible to be awarded a scholarship in the next semester or year. This study discusses the performance assessment of KIP Lecturer recipients using UML (Unified Modeling Language) as a tool in analysis and design, the PHP Hypertext Preprocessor programming language with the CodeIgniter framework, and MySQL as data storage media. Performance appraisal is calculated by a combination of the TOPSIS method and the PROMETHEE method. TOPSIS method is used to calculate the weight of each criterion, while the PROMETHEE method is used to analyze alternative ranking calculations. Testing this application is done by the Black Box method. The result of this research is the Application of Performance Assessment of College Students receiving KIP Kuliah at Catur Insan Cendekia University which aims to assist the Student Affairs Bureau in assessing the performance of college students receiving KIP Kuliah quickly

Decision Support System for Millennial Generation Softskill Competency Assessment using AHP and Eliminate Promethee Method

The current millennial generation has the soft skills needed to follow the trends and technology of the industrial generation 4.0. It is clear that many Millennials look more energetic and always synergistic with destructive situations and conditions. Industry 4.0 generation makes the business world switch to always using advanced technology in various sectors so that technological progress is felt faster than before, and human power is starting to be replaced by machine power, robotics, and even artificial intelligence. Thus, soft skills for the millennial generation are needed to get job opportunities in conditions where the need for human labour has begun to be eliminated in their work. The purpose of this paper is to assess the soft skills competencies possessed by the millennial generation, who are always involved with technological advances in the very fast business industry world. There are eight soft skills that the millennial generation must possess, namely critical thinking, communication, analyzing, creative and innovation, leadership, adaptation, cooperation and public speaking. The method used to select soft skills competencies for job opportunities for the millennial generation is the Analytic Hierarchical Process (AHP) method in collaboration with the Promethee elimination method. The final result of the decision support for soft-skill competency selection from 23 millennial generations, who passed the selection, was 43% (10 users) with a positive score and 57% (13 users) who experienced selection failure. This failure was due to having a negative score. Thus, the collaboration of the AHP and Promethee Elimination methods can provide optimal results for decision-making support.

Dijital Pazarlama Yöneticilerinin Bakış Açısıyla En Uygun Otel Seçimi: Analitik Hiyerarşi Prosesi (AHP) ve PROMETHEE Yaklaşımı

The widespread use of the Internet has enabled the rapid development of e-commerce in tourism. Online experience sharing platforms, which have become important by providing various opportunities for tourists to make their holiday decisions, have become one of the most visited websites in the world. In addition, online travel agencies offer opportunities to their potential guests during the holiday decision process by sharing their guest experiences regarding reservations made on their websites. The positive and negative opinions of the tourists about their experiences enable certain ranking lists to be formed in both experience sharing platforms and online travel agencies. During the process of making their holiday decisions, potential guests create the highest visitor and booking traffic in businesses that rank high in the relevant ranking lists. In this study, it is aimed to answer the decision problem of tourists in choosing a hotel by using multi-criteria decision-making methods. For this, criteria weight values were calculated using AHP (Analytical Hierarchy Process) method over seven criteria determined for the first seven alternative hotels among the top-rankedhotels in the list of Istanbul hotels on the Booking.com website and with the PROMETHEE method, the order of preference was determined at a very good decision level with 89 % measurement quality. As a result of the expert opinion among the criteria determined in the research, it was determined that the criterion with the highest weight value was the cleaning criterion. Among the seven alternatives determined, Hotel5 was determined to be the most suitable choice. In the light of the information obtained in the study, it was concluded that the reason for the emergence of the differences regarding the rankings of alternative hotels was due to the dynamic factors applied by Booking.com online travel agency in hotel rankings.

Large-scale group decision-making framework for the site selection of integrated floating photovoltaic-pumped storage power system

Integrated floating photovoltaic-pumped storage power (FPV-PSP) system provides a promising way to solve the instability of photovoltaic output and the shortage of land resources. Site selection is the primary issue to the success of the FPV-PSP system, whose complexity generally comes from the uncertainties of decision-making environment, differences in large-scale group evaluation information and limited behavior characteristics of decision-makers (DMs). To this end, a large-scale group decision-making framework is constructed in this paper. Firstly, nineteen influencing factors of FPV-PSP system site selection are identified and classified into four groups. The probabilistic linguistic term sets are then introduced to evaluate the criteria values to depict the uncertainties. Afterward, a new probabilistic linguistic similarity measure is defined to divide DMs into groups, so as to aggregate the different large-scale group opinions. Thereafter, to simulate the psychological behavior of DMs, an extended fuzzy PROMETHEE method (Preference Ranking Organization Method for Enrichment Evaluation) is proposed to rank alternatives. Finally, to validate the effectiveness of the proposed framework, a case study in China is conducted and the calculation results show that the system situated in Lianyungang (A2) is the optimal location and the ranking order varies with the changes of regret aversion coefficient.

Sustainable Textile and Apparel Enterprise Supplier Selection Research

The textile and apparel industry is characterized by fast changes in customer demand and large seasonal impacts on products, which makes supplier selection more difficult. Textile and apparel enterprises should not only maximize their own economic interests, but also pay attention to humanistic care and ecological concepts due to the pressure from the public and the ecological environment. This study addresses the problem of sustainable development in textile and garment industry. A sustainable supplier selection research system, including quality, cost, flexibility, delivery, corporate social responsibility (CSR), and environmental management, was developed. A fashion apparel company was used as a specific case to support the study. The multi-attribute decision method PROMETHEE is used to evaluate supplier performance. The proposed sustainable framework can deal with the problem of supplier selection in textile and apparel industry effectively.

Supply Chain Performance Assessment of Mountainous-Forest Rural Tourism Resorts (Case Study: Central Mazandaran, Iran)

ABSTRACT The purpose of the present paper is to identify the processes for assessing tourism supply chain performance and study the performance of the supply chain of rural tourism resorts in central Mazandaran. Performance assessment components were categorized according to the six SCOR model processes, and a decision tree was designed. The statistical population of the study consisted of academic experts, rural tourism entrepreneurs, resort owners (375), and tourists (550). Evaluation of the importance of each process in the performance of the supply chain indicates that the reliability process has the highest significance, and the agility process is less significant. Finally, the ranking of tourism resorts supply chain performance by the Promethee method shows that supply chains of Nur and Amol county tourism destinations have desirable performance, and supply chains of tourism destinations of Savadkuh and Babol have undesirable performance.

Localization of Relevant Urban Micro-Consolidation Centers for Last-Mile Cargo Bike Delivery Based on Real Demand Data and City Characteristics

The use of cargo cycles for last-mile parcel distribution requires urban micro-consolidation centers (UMC). We develop an approach to localize suitable locations for UMCs with the consideration of three criteria: demand, land use, and type of road. The analysis considers metric levels (demand), linguistic levels (land use), and cardinal levels (type of road). The land-use category is divided into commercial, residential, mixed commercial and residential, and others. The type of road category is divided into bicycle road, pedestrian zone, oneway road, and traffic-calmed road. The approach is a hybrid multi-criteria analysis combining an Analytical Hierarchical Process (AHP) and PROMETHEE methods. We apply the approach to the city center of Stuttgart in Germany, using real demand data provided by a large logistics service provider. We compared different scenarios weighting the criteria differently with DART software. The different weight allocation results in different numbers of required UMCs and slightly different locations. This research was able to develop, implement, and successfully apply the proposed approach. In subsequent steps, stakeholders such as logistics companies and cities should be involved at all levels of this approach to validate the selected criteria and depict the “weight” of each criterion.

Cost‐aware co‐locating of services in Internet of Things by using multicriteria decision making

SummaryInternet of Things (IoT) as an emerging technology is going to play a critical rule in the physical‐cyber ecosystem. In this environment, sensing and actuating are considered as services for building intelligent applications. From performance point of view, a main question is how to locate these services on devices can realize a remarkable cost‐efficiency and energy saving. In this paper, the goal is to specify which accompanying service with another specific service can be set on a device to optimize the energy consumption, load amount on devices, and the service response time. For this purpose, we formulate this goal as a multiobjective decision‐making problem, and then we solve it by using the PROMETHEE method. In this solution, the utility of each device is determined and estimated based on entropy technique that used for computing weights for different criteria. Numerical simulation results show that the proposed co‐locating algorithm, called p‐co‐locating, outperforms none‐co‐locating approach in terms of energy consumption, load amount, and the service response time.

Ranking using PROMETHEE when weights and thresholds are imprecise: a data envelopment analysis approach

Multicriteria decision making (MCDM) provides tools for the decision makers (DM) to solve complex problems with multiple conflicting criteria. Scalarization of criteria values requires using weights for criteria. Determining weights creates controversy as they are influential on the final ranking and challenges the DM as they are hard to elicit. PROMETHEE method is widely used in MCDM for ranking the alternatives and appropriate in situations when there is limited information on the preference structure of the DM. The DM should provide exact values for parameters such as criteria weights and thresholds of preference functions. Data Envelopment Analysis (DEA) is used for measuring the relative efficiency of alternatives in a non-parametric way without requiring any weight input. In this study, we propose two novel PROMETHEE based ranking approaches that address the determination of weight and threshold values by using an approach inspired by DEA. The first approach can deal with imprecise specification of criteria weights, and the second approach can utilize both imprecise weights and thresholds. The proposed approaches provide the DM substantial flexibility on the required level of information on those parameters. An illustrative example and a real-life case study are presented to show the utility of the proposed approaches.

Implementasi Metode Promethee dalam Penentuan Penerima Bantuan Zakat pada Mahasiswa

During the payment of a single tuition fee (UKT) every semester, students are always faced with the problem of outstanding students but unable to pay tuition fees. Therefore, the university provides a solution to give zakat obtained from lecturers to outstanding and underprivileged students through the selection process. So far, the student selection process is still done manually, not using a system or program. So that the distribution of educational aid recipients (zakat) is considered not on target. This will certainly be a continuous problem of injustice, especially now that we have entered the digital era 4.0, all processes use a digital system. The provision of educational fund assistance in the form of zakat must be based on established rules, in this case the rules are in the form of established criteria, namely student IP, parental income, number of siblings, number of dependents of parents, semester, and others. The purpose of this study is to test whether the Promethee method is a method that can solve these problems. In addition, this research also forms a flow chart for selecting recipients of educational assistance using the Promethee method. The results of this study indicate that the problem of determining recipients of zakat assistance by students can be solved using the PROMETHEE method. Promethee (Preference Ranking Organization for Enrichment Evaluation), This method is appropriate for determining recipients of zakat assistance.

A novel quartile deviation score evaluation (QDSE) method to minimize uncertainty in evaluation of solid waste management

In this globalized era, individuals and organizations are concentrating on better decision making, which helps in the successful waste management, materials management and operation of the business. This research work presents a novel decision-making method and its applications using a quartile concept. The complexity in methodology may affect the credibility of the final results; consequently, a simple and logical QDSE method is presented to evaluate the best alternative in the decision-making problem. To validate the effectiveness of QDSE, a published example in which QDSE method results are not alike to TOPSIS and PROMETHEE method is demonstrated and it has been logically proved that QDSE results are more reliable. The application of QDSE method is presented in selection of solid waste management by demonstrating examples. Moreover, the proposed method can be applied in any multi-criteria decision-making process.