scholarly journals Review of PROMETHEE method in transportation

2021 ◽  
Vol 27 (1) ◽  
pp. 69-74
Author(s):  
Laila Oubahman ◽  
Szabolcs Duleba
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Evaluation Method ◽  
Scale Effects ◽  
Decision Makers ◽  
Preference Ranking ◽  
Promethee Ii ◽  
Partial Ranking ◽  
Complete Ranking ◽  
Promethee Method

Abstract In recent decades, decision support system has been constantly growing in the field of transportation planning. PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is an efficient decision-making support deployed in case of a finite number of criteria. It provides a partial ranking through PROMETHEE I and a complete ranking with PROMETHEE II. This outranking methodology is characterized by the elimination of scale effects between criteria and managing incomparability with the comprehensive ranking. However, PROMETHEE does not provide guidance to assign weights to criteria and assumes that decision makers are able to allocate weights. This review presents an overview of PROMETHEE models applied in transportation and points out the found gaps in literature.

New hybrid AHP-QFD-PROMETHEE decision-making support method in the hesitant fuzzy environment: an application in packaging design selection

2021 ◽  
pp. 1-17
Author(s):  
Byanca Porto de Lima ◽  
Fernando Augusto Silva Marins ◽  
Aneirson Francisco da Silva
Keyword(s):  
Decision Making ◽  
Quality Function Deployment ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Preference Ranking ◽  
Packaging Design ◽  
Promethee Ii ◽  
Promethee Method ◽  
Design Selection ◽  
Decision Making Support

This paper presents a new hybrid decision-making support method (New Hesitant Fuzzy AHP-QFD-PROMETHEE II Method), which jointly uses the Analytic Hierarchy Process (AHP), the Quality Function Deployment (QFD) and the Preference Ranking Method for Enrichment Evaluation (PRO-METHEE II), as well as the Hesitant Fuzzy Linguistic Term Sets (HFLTS) to capture hesitation and aggregate divergent opinions from different experts. A real application of the new method to a packaging design selection problem for an automotive company is described, finding that AHP assisted in determining the importance of QFD’s customer requirements (CRs) and PROMETHEE II was used to select the best packaging design. With this same problem, for the purpose of validating the proposed method, a comparative analysis was made with the use of the Hesitant Fuzzy AHP-QFD-TOPSIS method and also with the traditional AHP-QFD-PROMETHEE method, which makes it impossible to capture the hesitation of decision makers. The result showed similarity in the rankings of design alternatives found in the three methods application. The proposed method proved advantageous for solving problems that can generally be solved with the QFD House of Quality but have serious difficulties when decision makers have divergent opinions and hesitate in evaluating criteria and alternatives.

scholarly journals Application Decision Support System using PROMETHEE Method

2019 ◽  
Author(s):  
Ade Parlaungan Nasution ◽  
Dahrul Aman Harahap ◽  
Ronal Watrianthos
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Programming Language ◽  
Conflict Of Interest ◽  
Decision Makers ◽  
Preference Ranking ◽  
Student Selection ◽  
Promethee Method ◽  
Selection Decision ◽  
Application Decision

Decision making is a condition that must occur at various top management levels and sometimesinterventions or conflict of interest occur in making decisions. Preference Ranking for Organization Method forEnrichment Evaluation (PROMETHEE) is a method that can be used to help decision makers in this case thebest student selection decision at a university. Tests carried out using the PROMETHEE method can produce acomplete ranking by eliminating the low value of each process in the PROMETHEE method and by developapplication using programming language it’s much faster to get decision.

scholarly journals Application Decision Support System using PROMETHEE Method

2019 ◽  
Author(s):  
Ronal Watrianthos
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Programming Language ◽  
Conflict Of Interest ◽  
Decision Makers ◽  
Preference Ranking ◽  
Student Selection ◽  
Promethee Method ◽  
Selection Decision ◽  
Application Decision

Decision making is a condition that must occur at various top management levels and sometimesinterventions or conflict of interest occur in making decisions. Preference Ranking for Organization Method forEnrichment Evaluation (PROMETHEE) is a method that can be used to help decision makers in this case thebest student selection decision at a university. Tests carried out using the PROMETHEE method can produce acomplete ranking by eliminating the low value of each process in the PROMETHEE method and by developapplication using programming language it’s much faster to get decision.

scholarly journals Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods

2021 ◽  
Vol 10 (3) ◽  
pp. 230
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera
Keyword(s):  
Decision Making ◽  
Planning Process ◽  
Sustainability Assessment ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Promethee Ii ◽  
Sustainability Criteria

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and a complex issue that decision makers usually face during planning process. In hydropower projects, it is important to consider technical, environmental and social parameters instead of purely economic ones for sustainability assessment and decision making. Multi-criteria decision making (MCDM) methods offer a practical approach to a problem having conflicting criteria. The flexibility to consider several criteria and objectives simultaneously made MCDM methods well accepted in the field of energy planning. This paper aims for applicability of MCDM methods which will facilitate the decision makers to select the most sustainable hydropower projects by making real and logical choices based on various sustainability criteria. For comprehensively rank hydropower projects of Indian region based on sustainability criteria four MCDM methods are applied i.e., analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II) and elimination and choice translating reality (ELECTRE III). To ensure better decision making the eight criteria selected are compatible to the sustainable development of hydropower projects.

scholarly journals An m-Polar Fuzzy PROMETHEE Approach for AHP-Assisted Group Decision-Making

2020 ◽  
Vol 25 (2) ◽  
pp. 26 ◽  
Author(s):  
Muhammad Akram ◽  
Shumaiza ◽  
José Alcantud
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Preference Ranking ◽  
Promethee Ii ◽  
Partial Ranking ◽  
Preference Functions ◽  
Multi Attribute Decision Making ◽  
Ranking Of Alternatives ◽  
The Impact ◽  
Fuzzy Promethee

The Analytical Hierarchy Process (AHP) is arguably the most popular and factual approach for computing the weights of attributes in the multi-attribute decision-making environment. The Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) is an outranking family of multi-criteria decision-making techniques for evaluating a finite set of alternatives, that relies on multiple and inconsistent criteria. One of its main advantages is the variety of admissible preference functions that can measure the differences between alternatives, in response to the type and nature of the criteria. This research article studies a version of the PROMETHEE technique that encompasses multipolar assessments of the performance of each alternative (relative to the relevant criteria). As is standard practice, first we resort to the AHP technique in order to quantify the normalized weights of the attributes by the pairwise comparison of criteria. Afterwards the m-polar fuzzy PROMETHEE approach is used to rank the alternatives on the basis of conflicting criteria. Six types of generalized criteria preference functions are used to measure the differences or deviations of every pair of alternatives. A partial ranking of alternatives arises by computing the positive and negative outranking flows of alternatives, which is known as PROMETHEE I. Furthermore, a complete ranking of alternatives is achieved by the inspection of the net flow of alternatives, and this is known as PROMETHEE II. Two comparative analysis are performed. A first study checks the impact of different types of preference functions. It considers the usual criterion preference function for all criteria. In addition, we compare the technique that we develop with existing multi-attribute decision-making methods.

scholarly journals Penerapan Metode Promethee Dalam Sistem Pendukung Keputusan Penetapan Penerima Kartu Indonesia Sehat (KIS)

2021 ◽  
Vol 5 (2) ◽  
pp. 739
Author(s):  
Reva Octaviani Siregar ◽  
Deci Irmayani ◽  
Masrizal Masrizal
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Human Life ◽  
Well Being ◽  
Preference Ranking ◽  
Problem Analysis ◽  
Healthy Environment ◽  
Promethee Method ◽  
The Individual ◽  
Selection Of

Health is a state of well-being of body, soul and society that enables everyone to live productively socially and economically. Therefore, health is the most important element in human life. Health is closely related to economic conditions. factors that affect human health such as healthy food and drinks, a healthy environment and healthy living habits will be fulfilled. Conversely, if a bad economy will make it difficult for individual people to meet some of these factors, if these conditions are ignored, the individual community will find it difficult to improve their health. The problem that occurred at Galang Health Center was the unsatisfactory selection of KIS (Kartu Indonesia Sehat) participants. the selection of KIS (Kartu Indonesia Sehat) participants requires a decision support system (DSS) to speed up and make it easier to make decisions. Decision support systems are used to assist decision making in an organization to facilitate decision making. Where no one knows exactly how decisions should be made. The Promethee method (Preference Ranking Organizational Method for Enrichment Evaluation) is a method used to determine priority (order) in multi-criteria analysis. With the Promethee method, the problem of choosing KIS (Kartu Indonesia Sehat) participants is feasible to use in this study, the stages of research carried out in this study are starting from data collection, problem analysis, method analysis, design and testing of applications to be built, the purpose of this research is to solve the problems of the participants. KIS (Kartu Indonesia Sehat), which have been unsatisfied in terms of the decision of KIS (Kartu Indonesia Sehat) recipients. The results showed that of the three KIS (Kartu Indonesia Sehat) participants who were tested, there were two participants who deserved KIS (Kartu Indonesia Sehat) based on the results of the assessment of the five criteria used so that the calculation results using the Promethee method showed that the net flow from each of the alternatef is -1 for alternative 1 and 0.2 for alternative 2 and 0.8 for the third alternative.

APPLICATION OF DECISION SUPPORT SYSTEM FOR DETERMINING AMPHIBIOUS LANDING BEACH IN WEST PAPUA INDONESIA

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 8
Author(s):  
Budi Setiarso ◽  
Udisubakti Ciptomulyono ◽  
Bambang Suharjo ◽  
I Nengah Putra ◽  
A K Susilo
Keyword(s):  
Decision Support ◽  
Decision Makers ◽  
Preference Ranking ◽  
Successful Implementation ◽  
Group Decisions ◽  
Task Requirements ◽  
Promethee Method ◽  
Individual Decisions ◽  
Landing Beach

ABSTRACT Determination of the landing beach becomes a must for the Marine Forces of the Indonesian Navy as an element of the landing forces in order to carry out the task of amphibious operations in particular to determine the ideal landing beach location for the successful implementation of the task. Requirements on the determination of ideal landing beaches should be in accordance with predetermined parameters and serve as an important component in determining the weighting value of landing beach selection criteria. This study aims to determine the location of landing beaches by using the Preference Ranking Method Method of Organization for Enrichment Evaluation (PROMETHEE) combined into the Borda method. The research stages started from determining the value of criterion preferences to the landing beach alternative options analyzed by PROMETHEE method then processed again in Borda method. The PROMETHEE method is used to analyze individual decisions of decision makers, while the Borda method is used to manage group decisions from the PROMETHEE method of ranking. The use of both methods is a solution to generate more objective group decisions so as to obtain a ranking result against the selection of logical amphibious landing beaches and have an objective value in accordance with accurate data and greatly assist decision-makers to solve multi-criteria problems. From the results of this study can be seen that the location of the selected beach is the most feasible to serve as the location of landing beaches in amphibious operations is Beach 3 with a weighted value of 0.389.  Keywords: Amphibious operations, the landing beach, Decision Support Systems, PROMETHEE, Borda

scholarly journals Multi-Criteria Decision Model for the Selection of Suppliers in the Textile Industry

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 979 ◽  
Author(s):  
Chia-Nan Wang ◽  
Van Tran Hoang Viet ◽  
Thanh Phong Ho ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Reference Model ◽  
Production Capacity ◽  
The United States ◽  
Labor Cost ◽  
Decision Makers ◽  
Raw Material ◽  
Preference Ranking ◽  
Promethee Ii

In recent years, the market of textile and garment materials has been volatile, and the ongoing US-China trade war is creating good opportunities for other markets such as Vietnam, Bangladesh and Mexico to continue to expand their market share in the United States. Vietnam is expected to have great advantages thanks to cheap labor cost and strong production capacity. Raw material supplier selection in a volatile competitive environment is crucial for a company to succeed, and supplier selection is a complicate process in which decision-makers must consider multiple quantitative and qualitative features, along with their symmetrical impact, in order to achieve an optimal result. The purpose of selecting the right supplier is to improve competitiveness and product quality, while satisfying customer demand at a minimum production cost. The aim of this paper is to propose a multicriteria decision making model (MCDM) for garment and textile supplier selection. In the first stage, all criteria affecting this process are defined by using the supply chain operations reference model (SCOR) and experts’ opinion. Incorporating hybrid fuzzy set theory into the analytical network process (ANP) model is the most effective tool for addressing complex problems of decision-making, which has a connection with various qualitative criteria; thus, the Fuzzy Analytical Hierarchy Process (FAHP) was applied for determining the weight of all potential suppliers, and the preference ranking organization method for enrichment of evaluations (PROMETHEE II) was used for ranking the supplier. The results of this research will assist researchers and decision makers in identifying, adapting and applying appropriate methods to identify the optimal material suppliers in the textile and garment industry. This research can also be used to support supplier selection decisions in other industries.

scholarly journals Outranking Methods: Promethee I and Promethee II

2020 ◽  
Vol 12 (1) ◽  
pp. 93-110
Author(s):  
Shankha Shubhra Goswami
Keyword(s):  
Coming Out ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Preference Ranking ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
Promethee Ii ◽  
Partial Ranking ◽  
Outranking Methods ◽  
Complete Ranking

AbstractThis article highlights the application of the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) I and II in selecting the best laptop model among six different available models in the market. Seven important criteria, that is, processor, hard disk capacity, operating system, RAM, screen size, brand, and color, are selected, based on which the selection process have been made. Analytic hierarchy process (AHP) is adopted for calculating the weightages of the seven criteria and PROMETHEE is applied to select the best alternative. PROMETHEE I provides the partial ranking and preferences of one model over another, whereas PROMETHEE II provides the complete ranking of the alternatives. From this analysis, Model 4 is coming out to be the best laptop model occupying the first position and Model 1 occupies the last position, thus indicating it as the worst model among the group. The objectives of this article are to select the best laptop model among six available alternatives and to understood the steps of both multiple criteria decision-making (MCDM) methodologies, that is, PROMETHEE and AHP, in details.

scholarly journals A Two-Phase Model for Personnel Selection Based on Multi-Type Fuzzy Information

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1703
Author(s):  
Chen-Tung Chen ◽  
Wei-Zhan Hung
Keyword(s):  
Decision Making ◽  
Personnel Selection ◽  
Influence Factors ◽  
Quantitative Information ◽  
Decision Makers ◽  
Preference Ranking ◽  
Linguistic Variables ◽  
Two Phase ◽  
Promethee Method ◽  
High Level

From the viewpoint of human resource management, personnel selection is one of the more important issues for enterprises in a high-level competitive environment. In general, many influence factors, quantitative and qualitative, affect the decision-making process of personnel selection. For considering qualitative factors, decision-makers cannot always easily judge the suitable degree of each applicant. Under this situation, this research proposes a systematic decision-making method based on computing with linguistic variables. First, unsuitable applicants are filtered by considering the quantitative information of each applicant. At this stage, technique for order of preference by similarity to ideal solution (TOPSIS) and entropy methods are aggregated to eliminate unsuitable applicants in accordance with their closeness coefficient values. Second, experts (or decision-makers) use different types of 2-tuple linguistic variables to express their opinions of suitable candidates with respect to qualitative criteria. At this stage, we consider different preference functions in the preference ranking organization method for enrichment evaluation (PROMETHEE) method to calculate the outranking index of each suitable candidate. Next, we aggregate the closeness coefficient and outranking index of each suitable applicant to determine the ranking order. In order to illustrate the computational processes, an example demonstrates the practicability of the two-phase personnel selection method. The benefit of the proposed method is as follows. (1) It reduces the time for reviewing and evaluating the huge numbers of applicants. (2) It avoids subjective judgment by experts to determine the weights of all criteria. Finally, conclusions and contributions are discussed at the end of this paper.

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