scholarly journals Multi-Criteria Group Decision-Making for Selection of Green Suppliers under Bipolar Fuzzy PROMETHEE Process

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 77 ◽  
Author(s):  
Muhammad Akram ◽  
Shumaiza ◽  
Ahmad N. Al-Kenani
Keyword(s):  
Fuzzy Numbers ◽  
Preference Ranking ◽  
Preference Functions ◽  
Promethee Method ◽  
Usual Criterion ◽  
Green Suppliers ◽  
Bipolar Fuzzy Sets ◽  
Fuzzy Linguistic ◽  
Fuzzy Promethee ◽  
Selection Of

The preference ranking organization method for enrichment of evaluations (PROMETHEE) method considers a significant outranking class of multi-criteria decision analysis (MCDA), as it is easy to deal with its simple computations. In the PROMETHEE, different preference functions are used according to the type and nature of attributes or criteria that demonstrate the clearness and reliability of this method. This study provides a new version of the PROMETHEE method using bipolar fuzzy information, named the bipolar fuzzy PROMETHEE method. Bipolar fuzzy sets or numbers constitute an asymmetrical relationship between two judgmental factors of human reasoning. Vague and imprecise knowledge is characterized by bipolar fuzzy linguistic terms which are further represented in the form of trapezoidal bipolar fuzzy numbers. The trapezoidal bipolar fuzzy numbers are used by analysts to assign the preferences of alternatives on the basis of criteria. Further, a ranking function of bipolar fuzzy numbers is considered to access the crisp real preferences of alternatives. The entropy weighting information is employed to calculate the weights of attributes by considering the condition of normality. A numerical example such as the selection of green suppliers by using the bipolar fuzzy PROMETHEE is performed on the basis of the usual criterion preference function in order to explain the procedure of the proposed method. Comparable results are derived by using the combination of linear and level preference functions. The results obtained by using different types of preference functions are the same, representing the authenticity of the proposed bipolar fuzzy PROMETHEE method.

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 Sistem Pendukung Keputusan Pemilihan Sekolah SMA Swasta Terbaik Dengan Menggunakan Metode PROMETHEE Di Kota Pematangsiantar

2019 ◽  
Vol 1 (1) ◽  
pp. 40-47
Author(s):  
Yuni Arista Saragih ◽  
Jaya Tata Hardinata ◽  
Muhammad Ridwan Lubis
Keyword(s):  
Private Schools ◽  
System Analysis ◽  
Preference Ranking ◽  
Web Based ◽  
Object Oriented Design ◽  
Second Stage ◽  
Third Stage ◽  
Promethee Method ◽  
Alternative Ranking ◽  
Selection Of

Selection of the best private schools in embassy cities with the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method. This decision support system is built through 6 stages. The first stage is collecting data and information through interviews and document analysis. The second stage is processing data and information to get the system design to be built. The third stage is system analysis which includes school data input, weighting criteria with the PROMETHEE method, and alternative ranking with the PROMETHEE method. The Fourth stage is designing the system using the concept of Object Oriented Design. The fifih stage is the implementation of a web-based system. The last step is evaluating the system by comparing the level of accuracy between the PROMETHEE method. With the implementation of the PROMETHEE method for the selection of the best private schools that will result in the ranking of the best private schools, it is expected that in the selection of the best schools that are truly recommended in accordance with the wishes and abilities of students

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.

scholarly journals A HYBRID MCDM APPROACH TO ASSESS THE SUSTAINABILITY OF STUDENTS’ PREFERENCES FOR UNIVERSITY SELECTION

2014 ◽  
Vol 20 (3) ◽  
pp. 391-418 ◽  
Author(s):  
Mehmet Kabak ◽  
Metin Dağdeviren
Keyword(s):  
Social Life ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
University Selection ◽  
Network Process ◽  
Promethee Method ◽  
The University ◽  
Selection Of

Selection of the most suitable university among many alternatives is a multi-criteria decision making (MCDM) problem. In this paper, an integrated approach which employs analytic network process (ANP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, is proposed for this problem. By the way, the paper is concerned with criteria influencing student choice in Turkey to establish if there is any need in developing a multi-criteria model for predicting students’ preference for universities. The ANP is used to analyse the structure of the university selection problem and to determine weights of the criteria, and the PROMETHEE method is used to obtain final ranking, and to make a sensitivity analysis by changing the weights for criteria. The results indicate that three factors, future career prospects and opportunities, scholarship and university's social life at the top in the university selection.

scholarly journals Selection of Suitable Lubricant for Sliding Contact Bearing and the Effect of Different Lubricants on Bearing Performance: A Review and Recommendations

2020 ◽  
Vol 37 (3−4) ◽  
Author(s):  
Biplab Bhattacharjee ◽  
Prasun Chakraborti ◽  
Kishan Choudhuri
Keyword(s):  
Selection Process ◽  
Sliding Contact ◽  
Rolling Element Bearing ◽  
Preference Ranking ◽  
Entropy Weight ◽  
Efficient Performance ◽  
Rolling Element ◽  
Promethee Method ◽  
Element Bearing ◽  
Selection Of

The word bearing implies to an element of the machine which allows one moving or vibrating part to support other rubbing surfaces by which the load can transmit. Depending upon in nature and application of load, an extensive variety of different bearing is available. They can generally be categorized into two kinds of bearing such as rolling element bearing and a sliding bearing. Lubrication is required in the middle of rubbing surfaces, which enacts as a medium between the moving surfaces to diminish friction and to take away heat for survival during the transmission of the load. In this paper, a literature review has been made on the influence of different lubricants on the performance of various bearing. The selection of an appropriate lubricant is a very critical decision to take for the efficient performance of a bearing because each lubricant has its own merits and demerits on various kinds of bearing. In the later portion of this paper, a selection process of right lubricant in sliding contact bearing is analyzed mathematically. This critical decision is being made by using PROMETHEE method (broadly Preference Ranking Organization Method for Enrichment Evaluations) hybridized by Entropy Weight Measurement method and Fuzzy scale. As per the ranking of Entropy-PROMETHEE method, the best suited lubricant for sliding contact bearing is SAE20W40.

scholarly journals Identification and Evaluation of Parameters Influencing the selection of Finance Project Contractors of Mashhad Water and Wastewater Company Using an AHP and Fuzzy Pramty

2015 ◽  
Vol 10 (Special-Issue1) ◽  
pp. 184-192
Author(s):  
Yoones Mazaheri-Zadeh ◽  
Zahra Naji-Azimi
Keyword(s):  
Fuzzy Ahp ◽  
Decision Makers ◽  
Factors Affecting ◽  
Promethee Method ◽  
Mashhad City ◽  
Evaluation Of Parameters ◽  
Water And Wastewater ◽  
First Time ◽  
Fuzzy Promethee ◽  
Selection Of

For managers and decision-makers, selecting the contractor is a key decision given this fact that the contractor plays a fundamental role in any outsourced project. So, identifying and evaluating the contractors selection criteria will result in eliminating inefficient contractors from the tender process. It is needed to collect and process these criteria in order to maximize the performance of selected contractors, and to minimize the errors and mistakes in fulfilling the society needs and organization standards. Obviously, many quantitative and qualitative indicators of different importance are involved in determining the contractors' eligibility. In this paper, we are to identify the factors affecting the selection of contractors, and then, to determine the importance levels of the factors and prioritize the contractors by combining the multi-criteria methods of fuzzy AHP and fuzzy PROMETHEE. This is the first time to implement this hybrid method for solving the contractor selection problem. In this regard, first, the criteria are identified and their weights are calculated using the fuzzy AHP technique, then premier contractor is selected using the fuzzy PROMETHEE method. A real application to select finance projects' contractor in the Water and Wastewater Company of Mashhad city is considered as the base problem.

scholarly journals Decision Making using Fuzzy PROMETHEE for Reverse Supply Chain Management Outsourcing

2019 ◽  
Vol 8 (4S2) ◽  
pp. 255-259
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Decision Makers ◽  
Preference Ranking ◽  
Chain Process ◽  
Reverse Supply Chain ◽  
Chain Management ◽  
Supply Chain Process ◽  
Fuzzy Promethee ◽  
Selection Of

The rising awareness about environmental issues and the need to outrank the competitors necessitates reverse supply chain management. By implementing reverse supply chain process, the industries are able to recapture the products value and can minimize the production cost. The implementation of reverse supply chain management requires huge investment and upgraded technology. Hence most of the manufacturing sectors are outsourcing reverse supply chain management. When it comes to outsourcing, selection of appropriate supplier becomes a problem for industries. In this study, fuzzy Preference Ranking Organization Method for Enrichment Evaluation (fuzzy PROMETHEE) methodology is applied to select the best reverse supply chain management from five alternatives by four decision makers considering ten factors.

scholarly journals LOGISTICS FREIGHT CENTER LOCATIONS DECISION BY USING FUZZY-PROMETHEE

Transport ◽  
2014 ◽  
Vol 29 (4) ◽  
pp. 412-418 ◽  
Author(s):  
Birol Elevli
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Uncertain Information ◽  
Logistics Center ◽  
Promethee Method ◽  
Fuzzy Promethee ◽  
Fuzzy Preference

Fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (F-PROMETHEE) was applied for choosing among potential logistics center locations. The method combines the concept of fuzzy sets to represent uncertain information with the PROMETHEE, a subgroup of Multi-Criteria Decision-Making (MCDM) methods. Criteria are identified based on review of scientific and trade literature and inputs received from experts. The suitability of areas have been evaluated on the basis of these criteria. There are substantial uncertainties and subjectivity about site information. Therefore F-PROMETHEE method is preferred. The case study shows that this application provides reasonable results.

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