scholarly journals BİST’DE İŞLEM GÖREN KÂĞIT VE KÂĞIT ÜRÜNLERİ BASIM VE YAYIN İŞLETMELERİNİN TOPSİS, PROMETHEE VE COPRAS YÖNTEMLERİYLE FİNANSAL PERFORMANSLARININ BELİRLENMESİ

2018 ◽  
Vol 6 (3) ◽  
Author(s):  
Fatma AKYÜZ ◽  
Tolga YEŞİL ◽  
İsmail KARA ◽  
Gürsel ERSOY
Keyword(s):  
Decision Making ◽  
Financial Statements ◽  
Assessment Methods ◽  
Production Costs ◽  
Financial Ratios ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Public Disclosure ◽  
The Public ◽  
Period Performance

Paper and Paper Products in the printing and publishing sector, production costs have increased due to the recent dependence on imports. At this point, Paper and Paper Products Printing and Publishing sector has been preferred and the leading companies in the sector have been tried to be determined by multi-criteria decision making methods. In this study, the financial performances of the paper and paper products printing and publishing sector traded in Borsa Istanbul between the years of 2012-2017, which is one of the multi criteria decision making methods, are the most important decision making methods, PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation and COPRAS (Complex Proportional Assessment) methods. The research sample consisted of 14 companies listed in the BIST. Firstly, the financial ratios used in multi-criteria decision making methods were explained and then the application steps of TOPSİS, PROMETHEE and COPRAS methods were included. During the calculation of financial ratios, the financial statements of the related companies between the years 2012-2017 were used in the light of the data obtained from the Public Disclosure Platform. As a result of the research, the 6-period performance of the companies have rewieved, between the years 2012-2017 was evaluated with 10 financial ratios and the results were compared.

scholarly journals A Novel Approach for Ontological Representation of Analytic Hierarchy Process

2014 ◽  
Vol 988 ◽  
pp. 675-682 ◽  
Author(s):  
Yong Xin Liao ◽  
Eduardo Rocha Loures ◽  
Osíris Canciglieri ◽  
Hervé Panetto
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Assessment Tool ◽  
Assessment Methods ◽  
Multi Criteria Decision Making ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Novel Approach ◽  
Priority Assessment ◽  
Hierarchy Process

The Analytic Hierarchy Process (AHP) is one of the widely accepted and frequently used priority assessment methods. A number of studies, which employed the AHP method, have already been carried out in different domains to support their multi-criteria decision-making definitions and applications. However, few researchers have paid attentions to extract and represent the important concepts and their relationships from the AHP method itself. The aim of this study is firstly to propose a way for representing the AHP method as an AHP Ontology together with a set of reasoning rules. Then, a prototype assessment tool is developed to show the possibility of obtaining more flexibility and reusability of this ontological representation.

Novel Multi-criteria Decision-making Approaches Based on Hesitant Fuzzy Sets and Prospect Theory

2016 ◽  
Vol 15 (03) ◽  
pp. 621-643 ◽  
Author(s):  
Juan-Juan Peng ◽  
Jian-Qiang Wang ◽  
Xiao-Hui Wu
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Prospect Theory ◽  
Hausdorff Distance ◽  
Comparison Method ◽  
Distance Measures ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
The Novel ◽  
Hesitant Fuzzy Sets

Hesitant fuzzy sets (HFSs), an extension of fuzzy sets, are considered to be useful in solving decision making problems where decision makers are unable to choose between several values when expressing their preferences. The purpose of this paper is to develop two hesitant fuzzy multi-criteria decision making (MCDM) methods based on prospect theory (PT). First, the novel component-wise ordering method for two hesitant fuzzy numbers (HFNs) is defined; however, this method does not consider the length of the two HFNs. Second, by utilizing the directed Hausdorff distance between two imprecise point sets, the generalized hesitant Hausdorff distance is developed, which overcomes the shortcomings of the existing distance measures. Third, based on the proposed comparison method and distance, as well as PT, the extended TODIM and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) approaches are developed in order to solve MCDM problems with hesitant fuzzy information. Finally, a practical example is provided to illustrate the pragmatism and effectiveness of the proposed approaches. Sensitivity and comparison analyses are also conducted using the same example. The findings indicate that the proposed methods do not require complicated computation procedures, yet still yield a reasonable and credible solution.

scholarly journals LAPORAN KEUANGAN UNTUK MENILAI KINERJA KEUANGAN PT. BANK MANDIRI TBK. DAN ENTITAS ANAK

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Helmi Herawati
Keyword(s):  
Comparative Study ◽  
Financial Performance ◽  
Performance Assessment ◽  
Commercial Banks ◽  
Financial Statements ◽  
Financial Ratios ◽  
Bank Profitability ◽  
The Public ◽  
The World ◽  
Banking Business

Helmi Herawati; The bank's financial performance assessment is based on three types of the bank liquidity ratio, the bank's solvability ratio and bank profitability ratio. Competition between banks in collecting funds from the public and channel funds from the public in the form of loans by commercial banks will be more stringent. Competition among banks in practice many banks are less careful, or deviate from the rules that apply in the world of banking business. The research objective was to determine the financial performance of PT Bank Mandiri, Tbk and its subsidiaries based on financial ratios of the Bank. This type of research is a comparative study, based on three ratios mentioned above indicates PT Bank Mandiri, Tbk and its subsidiaries periods of 2013 and 2014 in good positionKeywords: Financial Statements, The Financial Performance Of The Bank's Financial Ratios

scholarly journals THE POLYVOCALITY IN ACTION: EMBODYING THE EPIPHANY ON PUBLIC HOUSING CONUNDRUM

2020 ◽  
Vol 8 (4) ◽  
pp. 1396-1417
Author(s):  
Resi Ariyasa Qadri ◽  
Amrie Firmansyah
Keyword(s):  
Decision Making ◽  
Public Housing ◽  
Tacit Knowledge ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Housing Provision ◽  
The Public ◽  
The Government ◽  
Decision Making Model ◽  
Hierarchy Process

Purpose of the study: This paper aims to elaborate on how the institutional logic of public housing provision transforms from the old logic into the new logic. By encapsulating tacit-knowledge from the shift, this study focuses on how to explicate a model of multi-criteria decision-making for executing official residence projects in Indonesia. This research also aims to recuperate the future of the public residency field. Methodology: The methodology employed was a mixed method. The qualitative method was firstly applied by utilizing semi-structured interviews to build a decision-making model. Later, a quantitative method was implemented to improve the consistency of the model by using the Analytical Hierarchy Process protocols. Thirteen project representatives and ten decision-makers were being involved as the main informants. Google Sheets web-based software was applied for analyzing survey results by making use of a mathematical model for the Analytical Hierarchy Process. Main Findings: The result indicates that land not used as paddy field, fair house price, safe from flood location, serene ambiance, and developer experience has played a significant part in affecting buying decisions for residency projects. To carry out the new method, the total scores of the AHP calculation should be above 50. Otherwise, the government shall opt for the old mechanism. Applications of this study: The paper contributes to the public sector accounting field in the area of asset management and public housing procurement. The paper also gives a strong basis for the field to make use of the model of Indonesia's public housing provision. The government can adopt the research framework for choosing the new model or the old one. Novelty/Originality of this study: This study might be the only one of its kind. The research was using a multi-method to achieve the objectives. To generate a multi-criteria decision-making model, grounded data of excessive interviews were abstracted. Then the abstracted tacit-knowledge was tested with AHP to provide a consistent model.

scholarly journals Perancangan Sistem Kepuasan Masyarakat Terhadap Pelayanan Publik Dengan Metode Analytical Hierarchy Process (AHP)

2018 ◽  
Vol 3 (1) ◽  
pp. 17-35
Author(s):  
Petrus Sokibi ◽  
Nurul Bahiyah
Keyword(s):  
Decision Making ◽  
Public Service ◽  
Analytical Hierarchy Process ◽  
Public Services ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Satisfaction Level ◽  
The Public ◽  
Hierarchy Process ◽  
Government Institution

Talun sub-district is a government institution that provides public services to the public, which at this time there is no assessment of service satisfaction from the community so that the District Talun cannot know the assessment or complaints from the public to public services provided. The research aims to determine the level of public satisfaction of Public Service in Talun Sub-district. AHP is a complex multi-criteria decision-making method, in an unstructured situation into sections that are then shaped into functional hierarchies to present problems to be solved and then build a priority sequence for alternatives by pairwise alternative comparisons based on judgments of decision makers against a system. The appraisal application yields the value of the public satisfaction level and the eigenvector ranked according to the highest data as the final value of the AHP calculation so that the eigenvector value obtained can facilitate the Camat to see which elements of service are not good.

A hybrid multi-criteria decision-making model for optimal coal blending

2019 ◽  
Vol 14 (2) ◽  
pp. 339-359 ◽  
Author(s):  
Shankar Chakraborty ◽  
Ankan Mitra
Keyword(s):  
Decision Making ◽  
Optimization Problems ◽  
Research Work ◽  
Carbon Dioxide Emission ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Geographical Regions ◽  
Coal Blending ◽  
Decision Making Model

Purpose The purpose of this paper is thus to develop a hybrid decision-making model for optimal coal blending strategy. Coal is one of the major resources contributing to generation of electricity and anthropogenic carbon-dioxide emission. Being formed from dead plant matter, it undergoes a series of morphological changes from peat to lignite, and finally to anthracite. Because of non-uniform distribution of coal over the whole earth and continuous variation in its compositions, coals mined from different parts of the world have widely varying properties. Hence, it requires an ideal blending strategy such that the coking coal having the optimal combination of all of its properties can be used for maximum benefit to the steel making process. Design/methodology/approach In this paper, a multi-criteria decision-making approach is proposed while integrating preference ranking organization method for enrichment of evaluations (PROMETHEE II and V) and geometrical analysis for interactive aid (GAIA) method to aid in formulating an optimal coal blending strategy. The optimal decision is arrived at while taking into account some practical implications associated with blending of coal, such as coal price from different reserves. Findings Different grades of coal are ranked from the best to the worst to find out the composition of constituent coals in the final blending process. Coals from the mines of two different geographical regions are considered here so as to prove the applicability of the proposed model. Adoption of this hybrid decision-making model would subsequently improve the performance of coal after blending and help in addressing some sustainability issues, like less pollution. Originality/value As this model takes into account the purchase price of coals from different reserves, it is always expected to provide more realistic solutions. Thus, it would be beneficial to deploy this decision-making model to different blending optimization problems in other spheres of a manufacturing industry. This model can further accommodate some more realistic criteria, such as availability of coal in different reserves as a topic of future research work.

Supply Chain Risk Prioritization Using a Hybrid MCDM Approach

2012 ◽  
Vol 488-489 ◽  
pp. 406-410
Author(s):  
S. Prasanna Venkatesan ◽  
S. Kumanan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Customer Service ◽  
Mitigation Strategies ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Supply Chain Risk ◽  
Risk Prioritization ◽  
Robust Supply Chain ◽  
Supply Chain Risks

In recent years, supply chains have become increasingly vulnerable to risks resulting in poor financial performance and customer service. Managing the supply chain risks is a challenging task. Resilience and responsiveness based strategies are being attempted to build a robust supply chain. To select the appropriate mitigation strategies, supply chain risks are to be prioritized. Supply chain risk prioritization is a Multi Criteria Decision Making (MCDM) problem. MCDM models for supply chain risk prioritization needs attention. In this research, a hybrid Analytic Hierarch Process (AHP) and Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) approach is proposed for supply chain risk prioritization. A case example of a typical tractor industry is presented to illustrate the performance of the proposed approach.

Multi-Criteria Decision Making: A Systematic Review

2021 ◽  
Vol 14 ◽  
Author(s):  
Nayli Adriana Azhar ◽  
Nurul Asyikin Mohamed Radzi ◽  
Wan Siti Halimatul Munirah Wan Ahmad
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Complex Problems ◽  
Current Implementation ◽  
Network Process ◽  
Complete Survey ◽  
Hierarchy Process

: Multi Criteria Decision Making (MCDM) helps decision makers (DMs) solve highly complex problems. Accordingly, MCDM has been widely used by DMs from various fields as an effective and reliable tool for solving various problems, such as in site and supplier selection, ranking and assessment. This work presents an in-depth survey of past and recent MCDM techniques cited in the literature. These techniques are mainly categorised into pairwise comparison, outranking and distance-based approaches. Some well-known MCDM methods include the Analytical Hierarchy Process (AHP), Analytical Network Process (ANP), Elimination et Choix Traduisant la Realité (ELECTRE), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Each of these methods is unique and has been used in a vast field of interest to support DMs in solving complex problems. For a complete survey, discussions related to previous issues and challenges and the current implementation of MCDM are also presented.

Development of a multi-criteria decision-making model for comparing the performance of Turkish commercial banks

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusuf Tansel Ic ◽  
Beril Celik ◽  
Sevcan Kavak ◽  
Busra Baki
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Literature Review ◽  
Financial Performance ◽  
Performance Metrics ◽  
Financial Ratios ◽  
Bank Performance ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Measurement Models

PurposeIn this study, financial performance evaluation model is developed for banks aims to measure and compare the performances of banks based on their financial ratios.Design/methodology/approachRegression-AHP (Analytic Hierarchy Process)-VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) integrated methodology is used. First, a literature review is done to find various bank performance measurement models with their financial metrics being compared. Then, pair-wise comparison matrices are used to find the relative weights of criteria (financial ratios) and finally VIKOR method is used to rank the banks.FindingsIt is believed that an AHP-based VIKOR framework helps to take up the explicit account of multi-criteria decision making (MCDM) methodologies in decision making and for selecting the best bank in the Turkish economy.Research limitations/implicationsIn this paper, only selected financial ratios are used and analyzed for the multi-criteria decision-making (MCDM) method.Originality/valueThe systematic solution procedure of performance evaluating the banks helps the decision-makers to carry out performance evaluation studies for improving economic and managerial performance. This comparative study and analysis of bank performance using the regression-AHP-VIKOR combined model is presented for the first time. The authors have not become aware of any such studies in their literature review. This paper is an original framework of the application of the regression-AHP-VIKOR on the various financial performance metrics.

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.

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