THE ECONOMY OF THE BELGIAN REGIONS TESTED WITH MULTIMOORA

The definition of robustness in econometrics, the error term in a linear equation, was not only broadened, but in addition moved to the meaning of common language: from a cardinal to a qualitative one. At that moment the most robust Multi‐Objective Optimization Method has to fulfill seven essential conditions. In addition, considering all stakeholders involved, the choice of the objectives is non‐subjective with the assistance of the Ameliorated Nominal Group Technique and the Delphi method. Outside Normalization is not necessary by the use of a Full Multiplicative Form or of MOORA (Multi‐Objective Optimization by Ratio Analysis). This last one is composed of ratio analysis “senso stricto” and of the Reference Point Method with the previously obtained ratios as a starting point. Combining the three methods in MULTIMOORA a full guarantee for robustness in Multiple Objectives Optimization is offered. This interpretation is tested by an application to the Economy of the Belgian Regions. Santrauka Stiprumo apibrežimas ekonometrijoje, klaidos terminas linijineje lygtyje buvo ne tik išplestas, jo reikš‐me buvo perkelta i paprasta kalba, t. y. nuo kiekybines iki kokybines reikšmes. Šiuo metu stipriausi daugiatiksliai optimizavimo metodai turi atitikti septynias pagrindines salygas. Be to, turint omenyje visas suinteresuotas grupes, tikslu pasirinkimas yra objektyvus taikant patobulinta nominaliu grupiu ir Delphi metodus. Normalizavimas privalo būti taip pat objektyvus, tai imanoma padaryti naudojant dauginamaja MOORA (daugiatikslis optimizavimas remiantis santykio analize) metodo forma. Ji su‐sideda iš santykio analizes "senso strigto” ir atskaitos taško metodo su anksčiau gautu santykiu kaip pradžios tašku. Taigi sujungus tris metodus, kaip stiprumo garantas buvo pasiūlytas MULTIMOORA. Šis metodas yra išbandytas tiriant Belgijos regionu ekonomika.

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Student Admission Assesment using Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA)

10.31227/osf.io/gp4wj ◽

2018 ◽

Author(s):

Rivalri Kristianto Hondro ◽

Mesran Mesran ◽

Andysah Putera Utama Siahaan

Keyword(s):

Decision Support ◽

Decision Support Systems ◽

Support Systems ◽

Selection Process ◽

Initial Step ◽

Optimization Method ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

Prospective Students ◽

Multi Objective

Procurement selection process in the acceptance of prospective students is an initial step undertaken by private universities to attract superior students. However, sometimes this selection process is just a procedural process that is commonly done by universities without grouping prospective students from superior students into a class that is superior compared to other classes. To process the selection results can be done using the help of computer systems, known as decision support systems. To produce a better, accurate and objective decision result is used a method that can be applied in decision support systems. Multi-Objective Optimization Method by Ratio Analysis (MOORA) is one of the MADM methods that can perform calculations on the value of criteria of attributes (prospective students) that helps decision makers to produce the right decision in the form of students who enter into the category of prospective students superior.

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ROBUSTNESS OF THE MULTI‐OBJECTIVE MOORA METHOD WITH A TEST FOR THE FACILITIES SECTOR

Technological and Economic Development of Economy ◽

10.3846/1392-8619.2009.15.352-375 ◽

2009 ◽

Vol 15 (2) ◽

pp. 325-375 ◽

Cited By ~ 53

Author(s):

Willem K. Brauers ◽

Edmundas K. Zavadskas

Keyword(s):

Linear Equation ◽

Reference Point ◽

Error Term ◽

Cost Price ◽

Common Language ◽

Multi Objective Optimization ◽

Multi Objective ◽

Definition Of ◽

Moora Method

The definition of robustness in econometrics, the error term in a linear equation, was not only broadened, but in addition moved to the meaning of common language: from a cardinal to a qualitative one. These interpretations were tested by an application on the Facilities Sector in Lithuania. The application is multi‐objective: like costs, experience and effectiveness at the side of the contractors; quality, duration of the work and cost price at the side of the owners. These objectives having all different units the dimensionless ratios of the MOORA method avoids the difficulties of normalization. In a first part of MOORA these ratios were aggregated and in a second one they were used as distances to a reference point. The results of both parts control each other, a test on robustness. Additionally, MOORA shows a robust domination on all other methods of multi‐objective optimization. For the Facilities Sector in Lithuania, both parts of MOORA resulted in a comparable ranking. In this way a double check was made on the robustness of the results. Santrauka Patikimumo apibrėžimas ekonometrikoje, kaip neteisingas terminas tiesinėje lygtyje, buvo ne tik papildytas, bet ir išreikštas įprasta kalba: nuo kiekybinio prie kokybinio. Šios interpretacijos buvo patikrintos taikant jas Lietuvos paslaugų sektoriuje. Taikymas yra daugiatikslis: iš rangovo pusės kaip išlaidos, patirtis, efektyvumas; kokybė, darbo trukmė, kaina iš užsakovo pusės. Minėtieji tikslai turi skirtingus matavimo vienetus. O jų santykiniai dydžiai neturi mato vienetų, todėl taikant MOORA metodą yra išvengiama sunkumų juos normalizuojant. Pirmoje MOORA metodo taikymo dalyje šie santykiai yra sujungiami, o antroje dalyje ieškoma atstumo iki geriausio sprendinio. Abiejų metodo dalių rezultatai pagrindžia sprendinio teisingumą. Tai rodo aiškų MOORA metodo pranašumą, palyginti su kitais daugiatikslio optimizavimo metodais. Taikant abi MOORA metodo dalis Lietuvos paslaugų sektoriui buvo sudarytas lyginamasis rangavimas, buvo atliktas dvigubas rezultatų patikimumo patikrinimas.

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Analisis Metode Multi-Objective Optimization Method By ratio Analysis Pada Pemilihan Obat Terbaik (Kasus Diabetes Melitus)

J-Com (Journal of Computer) ◽

10.33330/j-com.v2i1.1225 ◽

2021 ◽

Vol 1 (2) ◽

pp. 123-128

Author(s):

Nurleli Idayati ◽

Hidayatullah Hidayatullah ◽

Cecep Maulana

Keyword(s):

Diabetes Mellitus ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Optimization Method ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

Multi Objective ◽

Moora Method ◽

Diabetes Melitus

Abstract: Diabetes mellitus drugs using Decision Support System (DSS) techniques. The DSS method used is the Multi Objective Optimization method on the basis of ratio analysis (MOORA). The data used in the study are data sourced from BPS in ther Kisaran city area. Application development uses web and MySQL database as a help tool to test the ranking results on the selection of Diabetes mellitus drugs. The results of this study are expected to provide better results in helping to determine the best Keywords : Decision Support System;MOORA Method;Diabetes mellitus;Drug Selection;Kisaran City Abstrak: obat Diabetes melitus dengan menggunakan teknik Sistem Pendukung Keputusan (SPK). Metode SPK yang digunakan adalah metode Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA). Data yang digunakan dalam penelitian adalah data bersumber dari BPS di wilayah kota Kisaran. Pengembangan aplikasi menggunakan web dan database MySQL sebagai perangkat bantuan untuk menguji hasil perangkingan pada pemilihan obat Diabetes melitus. Hasil dari penelitian ini diharapkan dapat memberikan hasil yang lebih baik dalam membantu menentukan obat diabetes terbaik Kata Kunci : Sistem Pendukung Keputusan;Metode MOORA;Diabetes mellitus;Pemilihan Obat;Kota Kisaran

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Grouping Industrial Class Placement Selection for Students Using Multi-Objective Optimization on the basis of Ratio Analysis

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ◽

10.29207/resti.v4i2.1532 ◽

2020 ◽

Vol 4 (2) ◽

pp. 237-242

Author(s):

Ratih Hafsarah Maharrani ◽

Oman Somantri

Keyword(s):

Decision Support ◽

Decision Support System ◽

Human Resources ◽

Support System ◽

Selection Process ◽

Optimization Method ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

Multi Objective ◽

Moora Method

The quality and success of a company is determined from the planning and efforts to meet the needs of Human Resources carried out in the selection process. This means that in an effective selection process good human resources can be obtained for a longer period of time. In this study, the effectiveness of student values will be analyzed with a decision support system that is used to facilitate management in the selection stage of industrial class students. From the results of the assessment, the student will be recommended to become a new employee of PT BUMA who comes from the vocational level through an industry-based curriculum education program. There are 5 criteria in the process of calculating the assessment of industrial class students, including the average student report card grades, psychological test results, HRD interviews, physical checks and pre-medical. Value processing uses a decision support system with a Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) where if the greater the student's grade results, the better the rankings produced, the more in line with the criteria expected by the company. The MOORA method was chosen because it can provide ease in the ranking process by finding the best alternative from several alternatives.

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Pemilihan Marketplace Di Masa Pandemi Covid-19 Menggunakan Metode MOORA

Computer Engineering Science and System Journal ◽

10.24114/cess.v6i2.22511 ◽

2021 ◽

Vol 6 (2) ◽

pp. 149

Author(s):

Sultan Chaeruddin ◽

Icih Sukarsih ◽

Respitawulan Respitawulan

Keyword(s):

Decision Making ◽

Optimization Method ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

New Normal ◽

Multi Objective ◽

Multi Attribute Decision Making ◽

The Right ◽

Almost All ◽

Moora Method

AbstrakPandemi COVID-19 telah melanda hampir di seluruh dunia. Pandemi ini juga merupakan sebuah masa dimana masyarakat dituntut melaksanakan kebiasaan baru atau dikenal dengan New Normal. Kebiasaan baru ini juga mempengaruhi cara masyarakat dalam berbelanja khususnya berbelanja di marketplace. Dengan memilih marketplace yang tepat maka masyarakat atau konsumen dapat memenuhi kebutuhan seperti produk kesehatan dan rumah tangga yang paling dicari di masa pandemi. Metode Multi Objective Optimization on The Basis of Ratio Analysis atau MOORA adalah salah satu metode dari Multi Attribute Decision Making. Metode MOORA dapat digunakan untuk menentukan rekomendasi marketplace di masa pandemi COVID-19. Hasil yang diharapkan adalah diperoleh alternatif terbaik berdasarkan penilaian masyarakat dan perhitungan menggunakan metode MOORA sehingga dapat terlihat pula perilaku konsumen di masa pandemi dan menjadi masukkan bagi perusahaan marketplace di masa yang akan datang.Kata kunci - Pandemi COVID-19; Marketplace; MOORAThe COVID-19 pandemic has hit almost all over the world. This pandemic is also a period when people are required to carry out new habits, known as the New Normal. This new habit also affects the way people shop, especially shopping in the marketplace. By choosing the right marketplace, the community or consumers can meet needs such as health and household products that are most sought after during a pandemic. The Multi Objective Optimization method on The Basis of Ratio Analysis or MOORA is one of the methods of Multi Attribute Decision Making. The MOORA method can be used to determine marketplace recommendations during the COVID-19 pandemic. The expected result is that the best alternative is obtained based on community assessment and calculations using the MOORA method so that consumer behavior can also be seen during the pandemic and become input for marketplace companies in the future.

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Implementasi Metode Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) Pada Sistem Pendukung Keputusan Penentuan Penerima Bantuan Iuran BPJS Kesehatan (Studi Kasus: Desa Loru Kabupaten Sigi)

Tadulako Science and Technology Journal ◽

10.22487/sciencetech.v2i1.15577 ◽

2021 ◽

Vol 2 (1) ◽

pp. 26-31

Author(s):

Hajra Rasmita Ngemba ◽

Rudy Reynold Richardo ◽

Rosmala Nur ◽

Muhammad Rusydi ◽

Christian Lopo ◽

...

Keyword(s):

Selection Process ◽

Optimization Method ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

Web Based ◽

Multi Objective ◽

Citizen Data ◽

Village Government ◽

Alternative Choice ◽

Moora Method

Introduction: This study aims to build an application that can carry out the selection process for prospective recipients of contribution assistance so that it is easier and becomes an alternative choice for the Village Government in determining eligible residents for BPJS Health contribution assistance in Loru Village, Sigi Regency. Methods: This decision support system application is web-based using the Hypertext Prepocessor (PHP) programming language with the Multi Objective Optimization method On The Basis Of The Ratio Analysis (MOORA), using sublime text 3 software and also MySQL as the database. In this study, 444 households were used as data for heads of households. With the system, orders will be carried out objectively and in detail. To determine which residents are truly entitled to receive assistance, this is done by compiling citizen data by considering the value of the MOORA method formula for each of the specified criteria. Result: The results that have been carried out by this author are a solution to determine the recipients of BPJS Health contribution assistance in Loru Village, Sigi Regency, so that the selection process can be more effective in terms of time and operation. Conclutions: Based on manual calculations as a comparison with the calculation of the system built, the same results were obtained. This shows that the system built can process the selection of potential recipients of contribution assistance. The result of the system process using the MOORA method is the ranking of PBI candidates with the highest rank to the lowest rank.

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Student Admission Assesment using Multi-Objective Optimization on the Basis of Ratio Analysis

10.31219/osf.io/cwfpu ◽

2017 ◽

Cited By ~ 1

Author(s):

Andysah Putera Utama Siahaan ◽

Robbi Rahim ◽

Mesran Mesran

Keyword(s):

Decision Support ◽

Decision Support Systems ◽

Support Systems ◽

Selection Process ◽

Initial Step ◽

Optimization Method ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

Prospective Students ◽

Multi Objective

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Sistem Pendukung Keputusan Pemilihan Mekanik Sepeda Motor Yamaha Alfascorfii Dengan Metode Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA)

J-SAKTI (Jurnal Sains Komputer dan Informatika) ◽

10.30645/j-sakti.v2i2.79 ◽

2018 ◽

Vol 2 (2) ◽

pp. 162

Author(s):

M Safii ◽

Azlan Zulhamsyah

Keyword(s):

Job Performance ◽

Optimization Method ◽

Consumer Confidence ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

Multi Objective ◽

Service Business ◽

A Company ◽

Selection Of ◽

Better Than

Job performance is one of the needs in a company. The demand for these needs aims to foster consumer confidence in the services provided. In service business activities such as the sale and service of professional motorbikes, mechanical work is needed. In determining the best mechanic, there are many criteria that the mechanic must fulfill. These criteria include efforts to overcome problems, years of service, education and discipline. The selection of the best motorcycle mechanics is done to help improve the mechanical workability to be better than before. To assist with the determination or selection in determining someone who deserves to be the best motorcycle mechanic, a decision support system is needed. In this study a case will be raised which is looking for the best alternative based on the criteria that have been determined by using the Multi Objective Optimization Method On The Base Of Ratio Analysis (MOORA). The research was conducted by looking for weight values for each attribute, then ranking process was carried out which would determine the optimal alternative, namely Yamaha Alfascorfii motorcycle mechanics.

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Multi-Objective Optimization Method by Ratio Analysis in Determining Results in Decision Support Systems

10.31227/osf.io/yqjf3 ◽

2018 ◽

Cited By ~ 1

Author(s):

Andysah Putera Utama Siahaan

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Optimization Method ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

Multi Objective ◽

Moora Method ◽

A Company ◽

Selection Of

Decision support system in selecting a product aims to improve the company's performance in the selection of certain products. This system is excellent to apply to companies, especially in companies that produce goods. It is so that consumers will not experience disappointment in the selection of these items. Every company needs a decision support system that can help choose the best product results accurately based on predetermined criteria. It is to avoid fatal errors. Therefore a company is beneficial and makes decision making more comfortable, in the selection of goods. The method used in this study is Multi-Objective Optimization on the Base of Ratio Analysis (MOORA). Selection of product results will be more structured and achieved using the MOORA method. Companies in the selection of goods will be under the desired target and can also minimize errors.

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FUCOM-MOORA and FUCOM-MOOSRA: new MCDM-based knowledge-driven procedures for mineral potential mapping in greenfields

SN Applied Sciences ◽

10.1007/s42452-021-04342-9 ◽

2021 ◽

Vol 3 (3) ◽

Author(s):

Faranak Feizi ◽

Amir Abbas Karbalaei-Ramezanali ◽

Sasan Farhadi

Keyword(s):

Multiple Criteria Decision Making ◽

Pairwise Comparison ◽

Optimization Method ◽

Pairwise Comparisons ◽

Ratio Analysis ◽

Multi Objective Optimization ◽

Mineral Potential Mapping ◽

Mineral Potential ◽

Multi Objective ◽

Potential Mapping

AbstractIn this study, we present the application of two novel hybrid multiple-criteria decision-making (MCDM) techniques in the mineral potential mapping (MPM), namely FUCOM-MOORA and FUCOM-MOOSRA, as robust computational frameworks for MPM. These were applied to a set of exploration targeting criteria of skarn. The multi-objective optimization method on the basis of ratio analysis (MOORA) and the multi-objective optimization on the basis of simple ratio analysis (MOOSRA) approaches are used to prioritize and rank individual cells. What makes MOORA and MOOSRA more reliable compared to many other methods is the fact that the optimizations procedure is applied to calculate the prospectivity score of individual unit cells. This reduces the uncertainty stemming from erroneous mathematical calculations. The full consistency method (FUCOM), on the other hand, is useful for assigning weights to the spatial proxies. The FUCOM method, as a pairwise comparison method, reduces a large number of pairwise comparisons of similar and popular approaches such as analytic hierarchy process (AHP) with $$n\left( {n - 1} \right)/2$$ n n - 1 / 2 and the best–worst method (BWM) with $$2n - 3$$ 2 n - 3 number of pairwise comparisons with $$n - 1$$ n - 1 which leads to a less time-consuming and more consistent performance compared with AHP and BWM. These were applied to a set of exploration targeting criteria of skarn iron deposits from Central Iran. Two potential maps were retrieved from the procedures applied, the comparison of which using correct classification rates and field checks revealed the superiority of FUCOM-MOOSRA over the FUCOM-MOORA.

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