Single valued trapezoidal neutrosophic multi - criteria decision making problems - PROMETHEE II

2020 ◽  
Author(s):  
S. Narayanamoorthy ◽  
A. Chithra ◽  
Daekook Kang
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Promethee Ii

Multi-criteria decision-making toward supplier selection: exploration of PROMETHEE II method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishant Agrawal
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Supply Chain ◽  
Case Studies ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Promethee Ii ◽  
Wide Range ◽  
Managerial Implications

PurposeSupplier Selection (SS) is one of the vital decisions frequently executed by numerous industries. In recent times, the number of suppliers has increased enormously depending on a wide range of criteria. A selection of suppliers is a sensitive process that may impact various supply chain activities. The purpose of this research is to explore an underutilized technique called PROMETHEE II method for SS.Design/methodology/approachVarious tools and techniques are available under multi-criteria decision-making tools, which sometimes creates confusion in researchers' minds regarding reliability. PROMETHEE II was the most prominent method for ranking all available alternatives that ultimately avoid decision-making errors. To execute this equal and unequal weights approach has been used with three case studies.FindingsIn this research, three case studies have been used and soved with the help of the PROMETHEE II approach. The study also provides fundamental insights into the supplier's ranking on different criteria using sensitivity analysis. Further, criteria were divided as per benefits and non-beneficial to get a robust result. The pros and cons of PROMETHEE II approaches are also highlighted compared to other MCDM tools in this study.Originality/valueMost of the SS research uses either AHP or TOPSIS as per existing literature. There are very few attempts highlighted in the literature that use PROMETHEE II for the SS problem with sensitivity analysis. The proposed method is probable to motivate decision-makers to consider using a more sophisticated method like PROMETHEE II in supplier evaluation processes. This study opens a new direction for the ranking of suppliers in the field of the supply chain. The study also bears significant practical as well as managerial implications.

scholarly journals Multicriteria Fuzzy Sets Application in Economic Clustering Problems

2017 ◽  
Vol 17 (3) ◽  
pp. 29-46
Author(s):  
Irina Radeva
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Input Data ◽  
Multi Criteria Decision Making ◽  
Promethee Ii ◽  
Specific Input ◽  
Clustering Problems ◽  
Data Requirements

Abstract This paper presents an approach for small and medium-sized enterprises selection in economic clusters, where the problem of integration is defined as “ill structured under condition of uncertainty”. The proposed solution demonstrates applying several fuzzy multi-criteria decision making algorithms along with discussion over specific input data requirements. The results are compared with classical multi-criteria decision-making algorithm PROMETHEE II.

Multi-criteria decision making towards selection of industrial robot

2015 ◽  
Vol 22 (3) ◽  
pp. 465-487 ◽  
Author(s):  
Dilip Kumar Sen ◽  
Saurav Datta ◽  
Saroj Kumar Patel ◽  
Siba Sankar Mahapatra
Keyword(s):  
Decision Making ◽  
Selection Problem ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Promethee Ii ◽  
Advantages And Disadvantages ◽  
Wide Range ◽  
Robot Selection ◽  
Selection Of

Purpose – Robot selection is one of the critical decision-making tasks frequently performed by various industries in order to choose the best suited robot for specific industrial purposes. In recent marketplace, the number of robot manufacturers has increased remarkably offering a wide range of models and specifications; thus, robot selection has become indeed confusing as well as complicated task. Selection of an appropriate robot is a sensitive process; it may result massive letdown, if not chosen properly. Therefore, for unravel the selection problem; the purpose of this paper is to explore the preference ranking organization method for enrichment evaluation (PROMETHEE) II method. Design/methodology/approach – Apart from a large variety of robotic systems, existence of various multi-criteria decision making (MCDM) tools and techniques may create confusion to the decision makers’ in regards of application feasibility as well as superiority in performance to work under different decision-making situations. In this context, the PROMETHEE II method has been found as an efficient decision-making tool which provides complete ranking order of all available alternatives prudently, thus avoiding errors in decision making. Findings – In this context, the present paper highlights application potential of aforesaid PROMETHEE II method in relation to robot selection problem subjected to a set of quantitative (objective) evaluation data collected from the available literature resources. Advantages and disadvantages of PROMETHEE II method have also been reported in comparison to other existing MCDM approaches. Originality/value – The study bears significant managerial implications. Proper evaluation and selection of appropriate candidate robot would be helpful for the industries in order to improve product quality as well as to increase productivity. Proper utilization of resources could be ensured. Functioning would be accurate with reduced timespan. As a consequence, company can increase its profit margin in long run.

scholarly journals A hybrid multi-criteria decision-making approach to order natural gas consuming countries

2021 ◽  
Vol 12 (2) ◽  
pp. 691-710
Author(s):  
Ester Figueiredo Girão ◽  
Luiz Flavio Autran Monteiro Gomes
Keyword(s):  
Decision Making ◽  
Natural Gas ◽  
Economic Transition ◽  
Multi Criteria Decision Making ◽  
Low Carbon ◽  
Topsis Method ◽  
National Agency ◽  
Promethee Ii ◽  
Low Carbon Economy ◽  
Gas Market

Societies worldwide are committed to moving towards a low carbon economy, and natural gas is considered a transition fuel between fossil (such as gasoline and diesel) and renewable fuels. Based on the relevance of natural gas in this economic transition, this paper demonstrates the application of a hybrid multi-criteria decision-making approach to order the natural gas consuming countries. The aim is to support decision-making in the natural gas market, offering elements to prioritize the trade worldwide. The study observed three criteria: consumption variation for years 2014 to 2016; the volume of production in the same period; and proven natural gas reserves in 2016. The data to demonstrate the countries’ performance was obtained from a yearly statistic publication of the Brazilian National Agency of Petroleum, Natural Gas, and Biofuels (ANP), released in 2017. Finally, the decision-making methods adopted to assess the criteria were, first, the WINGS method, applied to generate the weights of each criterion. Second, the study adopted the TOPSIS method to pre-select the countries closest to becoming a global consumer of natural gas. After applying the TOPSIS method, a pre-analysis of dominance among alternatives (pre-selected countries) was conducted, excluding the dominated ones from the list obtained. Third, the PROMÉTHÉE II method was applied to establish the order of the natural gas-consuming countries.

scholarly journals Comparing Multi-Criteria Decision Making Models for Evaluating Environmental Education Programs

2021 ◽  
Vol 13 (20) ◽  
pp. 11220
Author(s):  
Katerina Kabassi
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Environmental Education ◽  
Multi Criteria Decision Making ◽  
Education Programs ◽  
Specific Domain ◽  
Comparative Performance ◽  
Promethee Ii ◽  
Knowledge And Practice ◽  
Decision Making Models

Educators in the field of Environmental Education often have difficulty identifying and selecting programs that have the potential to best maximize needed resources to implement and achieve desired outcomes. This difficulty is, in part, due to their lack of expertise in evaluation knowledge and practice. The use of multi-criteria decision-making models in evaluating environmental education programs is new and, as a result, not many models have been used and tested in the specific domain. Comparisons of multi-criteria decision-making models have been implemented in various domains but not for environmental education programs’ evaluation. Therefore, we investigate the comparative performance of the SAW, WPM, TOPSIS, and PROMETHEE II models in evaluating and selecting the most appropriate environmental education program. The main objective of this paper is on presenting the different steps of the comparative analysis of multi-criteria decision-making models and on making conclusions on the suitability and robustness of the SAW, WPM, TOPSIS, and PROMETHEE II models in evaluating environmental education programs.

scholarly journals Multi-criteria decision-making when choosing variant solution of highway route at the level of preliminary design

2013 ◽  
Vol 11 (1) ◽  
pp. 71-87 ◽  
Author(s):  
Ljubo Markovic ◽  
Milan Cvetkovic ◽  
Ljiljana Milic-Markovic
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Multi Criteria Decision Making ◽  
Preliminary Design ◽  
Analysis Method ◽  
Promethee Ii ◽  
Theoretical Assumptions ◽  
Multi Criteria Analysis

The main goal of the research conducted in this paper is to explain on a real life example the role and importance of the multi-criteria decision-making method. By application of multi-criteria analysis method and ranking the most favourable variant solution for E-763 highway route at the entrance to Belgrade was chosen. VIKOR and Promethee II methods have been used. Ranking has been made based on 20 criteria which make the evaluation basis of each alternative. In this way the methods proved successful tools when choosing the most favourable alternative. The theoretical assumptions of VIKOR and PROMETHEE-GAIA methodologies have been presented in the paper. The calculation has been made by applying VIKOR programme package and Decision Lab programme and then the results obtained were subsequently analyzed.

scholarly journals Comparison of Multi-Criteria Group Decision-Making Methods for Urban Sewer Network Plan Selection

CivilEng ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 26-48 ◽  
Author(s):  
Zhen Wu ◽  
Georges Abdul-Nour
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Group Decision ◽  
Early Stage ◽  
Decision Makers ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Promethee Ii ◽  
Sewer Network

Selecting a suitable sewer network plan for a city is a complex and challenging task that requires discussion among a group of experts and the consideration of multiple conflicting criteria with different measurement units. A number of multi-criteria decision-making (MCDM) methods have been proposed for analyzing sewer network selection problems, each having their own distinct advantages and limitations. Although many decision-making techniques are available, decision-makers are confronted with the difficult task of selecting the appropriate MCDM method, as each method can lead to different results when applied to an identical problem. This paper evaluates four different multi-criteria decision-making methods, which are the Analytic Hierarchy Process (AHP), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Elimination Et Choix Traduisant la REalité (ELECTRE III) and the Preference Ranking Organization METHods for Enrichment Evaluations II (PROMETHEE II), for one sewer network group decision problem in the early stage of sewer water infrastructure asset management. Moreover, during the implementation of different MCDM methods, the Delphi technique is introduced to organize and structure the discussions among all the decision-makers. The results of the study are examined based on each method’s ability to provide accurate representations of the decision-makers’ preferences and their experience implementing each method. As a conclusion, decision-makers identify PROMETHEE II as their favorite method, AHP is more time and energy consuming and results in a number of inconsistencies, while TOPSIS loses information during vector normalization for multi-dimension criteria, and ELECTRE III’s results are inconclusive.

scholarly journals Modelling and Multi-Criteria Decision Making for Selection of Specific Growth Rate Models of Batch Cultivation by Saccharomyces cerevisiae Yeast for Ethanol Production

Fermentation ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 61 ◽  
Author(s):  
Petrov
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Decision Making ◽  
Growth Rate ◽  
Specific Growth Rate ◽  
Specific Growth ◽  
Batch Cultivation ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Promethee Ii ◽  
Selection Of

This study is focused on using multi-criteria decision making (MCDM) for selecting specific growth rate models of batch cultivation by the Saccharomyces cerevisiae. Ten specific growth rate models—Monod, Mink, Tessier, Moser, Aiba, Andrews, Haldane, Luong, Edward, and Han-Levenspiel—were investigated in order to explain the cell growth kinetics by the dependence on glucose. By using the preference ranking organization method (PROMETHEE) II, it was found that the Andrews model was the highest of rank and was the most appropriate one for modelling.

scholarly journals Application of Multi-Criteria Decision-Making Models for the Evaluation Cultural Websites: A Framework for Comparative Analysis

Information ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 407
Author(s):  
Katerina Kabassi
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
The Internet ◽  
Multi Criteria Decision Making ◽  
Promethee Ii ◽  
Cultural Organization ◽  
Generalized Framework ◽  
Decision Making Models ◽  
Museum Websites

Websites in the post COVID-19 era play a very important role as the Internet gains more visitors. A website may significantly contribute to the electronic presence of a cultural organization, such as a museum, but its success should be confirmed by an evaluation experiment. Taking into account the importance of such an experiment, we present in this paper DEWESA, a generalized framework that uses and compares multi-criteria decision-making models for the evaluation of cultural websites. DEWESA presents in detail the steps that have to be followed for applying and comparing multi-criteria decision-making models for cultural websites’ evaluation. The framework is implemented in the current paper for the evaluation of museum websites. In the particular case study, five different models are implemented (SAW, WPM, TOPSIS, VIKOR, and PROMETHEE II) and compared. The comparative analysis is completed by a sensitivity analysis, in which the five multi-criteria decision-making models are compared concerning their robustness.

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