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 SUBCONTRACTOR SELECTION USING THE INTEGRATION OF THE AHP AND PROMRTHEE METHODS

2015 ◽  
Vol 22 (8) ◽  
pp. 1042-1054 ◽  
Author(s):  
Gul POLAT
Keyword(s):  
Construction Projects ◽  
Selection Process ◽  
Selection Problem ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
Building Projects ◽  
Bid Price ◽  
Perform Sensitivity Analysis ◽  
Complete Ranking ◽  
The Right

On many construction projects, especially building projects, 80–90% of the tasks are performed by subcontractors. Since the success of the project highly depends on the performances of the subcontractors, selecting the right subcontractor for the right job is critical. Main contractors generally tend to select the subcontractors that offer the lowest bid price. However, working with unqualified and insufficiently financed subcontractors may result in inefficiencies and failures. Thus, a combination of several compromising and conflicting criteria underpinning financial capacity and competencies of the subcontractors should be considered during the subcontractor selection process. This paper proposes an integrated decision approach, which employs analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, for the subcontractor selection problem. In the proposed approach, AHP is used to analyze the structure of the subcontractor selection problem and to determine the weights of the criteria, and PROMETHEE is employed to obtain complete ranking and perform sensitivity analysis by changing the weights of criteria. The proposed approach is applied to a problem of selecting the most appropriate subcontractor to be worked with in an international construction project. Company management found the proposed decision approach satisfactory and implementable in future subcontractor selection problems.

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.

Prioritizing sewer rehabilitation projects using AHP-PROMETHEE II ranking method

2015 ◽  
Vol 73 (2) ◽  
pp. 283-291 ◽  
Author(s):  
Abdelhak Kessili ◽  
Saadia Benmamar
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Multiple Criteria Decision Making ◽  
Ranking Method ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
Promethee Ii ◽  
Sewer Rehabilitation ◽  
Hierarchy Process ◽  
Sewer Networks

The aim of this paper is to develop a methodology for the prioritization of sewer rehabilitation projects for Algiers (Algeria) sewer networks to support the National Sanitation Office in its challenge to make decisions on prioritization of sewer rehabilitation projects. The methodology applies multiple-criteria decision making. The study includes 47 projects (collectors) and 12 criteria to evaluate them. These criteria represent the different issues considered in the prioritization of the projects, which are structural, hydraulic, environmental, financial, social and technical. The analytic hierarchy process (AHP) is used to determine weights of the criteria and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE II) method is used to obtain the final ranking of the projects. The model was verified using the sewer data of Algiers. The results have shown that the method can be used for prioritizing sewer rehabilitation projects.

Best Laptop Model Selection by Applying Integrated AHP-TOPSIS Methodology

2021 ◽  
Vol 9 (2) ◽  
pp. 29-47
Author(s):  
Shankha Shubhra Goswami ◽  
Dhiren Kumar Behera
Keyword(s):  
Operating System ◽  
Online Shopping ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Preference Ranking ◽  
Screen Size ◽  
Analytic Hierarchy ◽  
Research Article ◽  
Ranking Order ◽  
Hierarchy Process

The main objective of this research article is to select the best laptop model among six models available in the market. For this analysis, six laptop models are selected from different online shopping websites having different specifications after seeing the customer ratings. After doing some research, it is found that these laptop models are presently in demand and mostly preferred by the customers. So, an initiative is taken to propose the best laptop among these six models by implementing multiple-criteria decision-making (MCDM) methodology. The selection process is done based on seven criteria (i.e., processor, hard disk capacity, operating system, RAM, screen size, brand, color). For this purpose, analytic hierarchy process (AHP) is adopted for calculating the weightages of the criteria, and TOPSIS is used for selecting the best model. A preference ranking order of the six models is also proposed at the end indicating the best model to the worst. From the whole analysis, it is found that Model 4 came out to be the best model followed by Model 5 and Model 3.

An intelligent approach for the evaluation of transformers in a power distribution project

2020 ◽  
Vol 39 (3) ◽  
pp. 4133-4145
Author(s):  
Funda Samanlioglu ◽  
Zeki Ayağ
Keyword(s):  
Power Distribution ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
Promethee Ii ◽  
Order Preference ◽  
Criteria Weights ◽  
Intelligent Approach

In this study, a hybrid approach is presented for the evaluation and selection of transformers in a power distribution project. Ranking transformers and selecting the best among alternatives is a complex multiple criteria decision making (MCDM) problem with various possibly conflicting quantitative and qualitative criteria. In this research, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy Preference Ranking Organization Method for Enriching Evaluations II (hesitant F-PROMETHEE II) are combined to evaluate and rank transformers. In the hesitant fuzzy AHP-PROMETHEE II, hesitant F-AHP is implemented to determine criteria weights and hesitant F-PROMETHEE II is applied to rank transformer alternatives, utilizing obtained criteria weights. An illustrative example is presented to demonstrate the effectiveness and applicability of the proposed approach. In the example, five transformers are evaluated based on twelve criteria by three decision makers (DMs) and best alternative is selected. For comparison analysis, integration of hesitant F-AHP and hesitant fuzzy Technique for Order Preference by Similarity to Ideal Solution (hesitant F-TOPSIS) is used and results are compared.

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

2021 ◽  
Vol 12 (1) ◽  
pp. 75-90
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera
Keyword(s):  
Decision Making ◽  
Sustainability Assessment ◽  
Multicriteria Decision Making ◽  
Preference Ranking ◽  
Energy Planning ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Promethee Ii ◽  
Sustainability Criteria ◽  
Hierarchy Process

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and complex issue. It requires considering technical, environmental, and social parameters instead of purely economic ones in decision making for energy planning. The flexibility to consider several criteria and objectives simultaneously leads to the use of multicriteria decision making (MCDM) methods which are well accepted in the field of energy planning. This paper aims at applying MCDM methods in facilitating the decision makers to select the most sustainable hydropower projects in the Indian region by making real and logical choices based on eight important criteria selected from the literature that are compatible with sustainable development. To comprehensively rank hydropower projects three MCDM methods are applied i.e., the 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). Analytic hierarchy process (AHP) is used to calculate the weights of criteria. All three methods are well adapted for sustainability assessment and ranked Sharavathi (A9), Bhakra (A2), and Upper Indravati (A13) to be the most sustainable hydropower projects in India under the selected criteria. The study will be helpful in sustainable energy planning of hydropower projects with similar geographical conditions.

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.

ERP Selection using an AHP-based Decision Support System

2016 ◽  
Vol 29 (4) ◽  
pp. 65-81 ◽  
Author(s):  
Maria Manuela Cruz-Cunha ◽  
Joaquim P. Silva ◽  
Joaquim José Gonçalves ◽  
José António Fernandes ◽  
Paulo Silva Ávila
Keyword(s):  
Decision Making ◽  
Negative Impact ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Software Application ◽  
Erp System ◽  
Qualitative And Quantitative ◽  
Long Time ◽  
Selection Of

Selecting the best desirable Enterprise Resources Planning (ERP) system has been a critical problem for organizations for a long time, as the failure on the selection process may have a highly negative impact in terms of costs and market share of a company. It is one of the most important decision making issues covering both qualitative and quantitative factors for organization. Multiple-criteria decision-making has been proved to be a useful approach to analyze these conflicting qualitative and quantitative factors. Literature offers proposals and approaches to handle this kind of problem; Analytic Hierarchy Process (AHP) has been applied successfully in most cases of software packages selection problems. This paper proposes an AHP model for the selection of an ERP system. The model's set of criteria was extracted from the literature review and validated by Portuguese organizations. This model can be applied in the ERP system selection using a software application that is under development. This software application eases the application of the AHP process to the selection of ERP packages and will provide input from real-world cases that will allow updating and refining the model.

scholarly journals The COVID-19 Vaccine Preference for Youngsters Using PROMETHEE-II in the IFSS Environment

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1030
Author(s):  
Samayan Narayanamoorthy ◽  
Subramaniam Pragathi ◽  
Thirumalai Nallasivan Parthasarathy ◽  
Samayan Kalaiselvan ◽  
Joseph Varghese Kureethara ◽  
...  
Keyword(s):  
Decision Making ◽  
Chronic Diseases ◽  
Multiple Criteria Decision Making ◽  
Weighted Average ◽  
Lexicographic Order ◽  
Preference Ranking ◽  
Soft Sets ◽  
Promethee Ii ◽  
Intuitionistic Fuzzy ◽  
Preparation Period

Extensive decision-making during the vaccine preparation period is unpredictable. An account of the severity of the disease, the younger people with COVID-19 comorbidities and other chronic diseases are also at a higher risk of the COVID-19 pandemic. In this research article, the preference ranking structure for the COVID-19 vaccine is recommended for young people who have been exposed to the effects of certain chronic diseases. Multiple Criteria Decision-Making (MCDM) approach effectively handles this vague information. Furthermore, with the support of the Intuitionistic Fuzzy Soft Set (IFSS), the entries under the new extension of the Preference Ranking Organization Method for Enrichment Evaluation-II (PROMETHEE-II) is suggested for Preference Ranking Structure. The concept of intuitionistic fuzzy soft sets is parametric in nature. IFSS suggests how to exploit an intuitionistic ambiguous input from a decision-maker to make up for any shortcomings in the information provided by the decider. The weight of the inputs is calculated under the Intuitionistic Fuzzy Weighted Average (IFWA) operator, the Simply Weighted Intuitionistic Fuzzy Average (SWIFA) operator, and the Simply Intuitionistic Fuzzy Average (SIFA) operator. An Extended PROMETHEE-based ranking, outranking approach is used, and the resultant are recommended under the lexicographic order. Its sustainability and feasibility are explored for three distinct priority structures and the possibilities of the approach. To demonstrate the all-encompassing intuitionistic fuzzy PROMETHEE approach, a practical application regarding COVID-19 severity in patients is given, and then it is compared to other existing approaches to further explain its feasibility, and the sensitivity of the preference structure is examined according to the criteria.

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