scholarly journals Multiple-Criteria Decision Analysis Using TOPSIS: Sustainable Approach to Technical and Economic Evaluation of Rocks for Lining Canals

2021 ◽  
Vol 11 (20) ◽  
pp. 9692
Author(s):  
Mahrous A. M. Ali ◽  
Jong-Gwan Kim ◽  
Zakaria H. Awadallah ◽  
Ahmed M. Abdo ◽  
Abbas M. Hassan
Keyword(s):  
Building Materials ◽  
Experimental Testing ◽  
Construction Materials ◽  
Decision Makers ◽  
Ideal Solution ◽  
Topsis Method ◽  
Geometric Distance ◽  
Rock Types ◽  
Mechanical And Physical Properties ◽  
Negative Ideal Solution

One of the crucial projects underway in Egypt is the lining of watercourses to withstand the outflow of water through their beds and flanks. Various materials have been used in this project, including limestone, sandstone, basalt, and dolomite, along with other building materials. This study focused on the evaluation of rock characteristics to determine their suitability for the construction of a canal lining. All rock characteristics should be classified in terms of technical and economic concerns related to mining rock specifications, such as mechanical and physical properties, and evaluated according to their weights and ratings. As a rule of decision making, management stakeholders select the rock types. The primary purpose of canal linings is to reduce water loss due to seepage. Methodologically, we adopted the technique for order of preference by similarity to ideal solution (TOPSIS), and derived an improved TOPSIS method based on experimental testing. This study attempted the first application of TOPSIS to canal linings and relevant construction materials. The analysis shows that limestone L1 is the best rock-building material for canal linings in Upper Egypt. Limestone L1 has the shortest geometric distance from the positive ideal solution and the longest geometric distance from the negative ideal solution. The results provide decision makers with strategic indicators to select among different rock types based on the total points assigned to all rock specifications.

scholarly journals Identification of Best Indian Entry–Level Segment SUV through TOPSIS Method

2019 ◽  
Vol 8 (4) ◽  
pp. 8237-8240
Keyword(s):  
Selection Procedure ◽  
Ideal Solution ◽  
Sport Utility Vehicle ◽  
Topsis Method ◽  
Geometric Distance ◽  
Entry Level ◽  
Negative Ideal Solution ◽  
The One ◽  
Utility Vehicle

Every car owner wants comfort, power, and efficiency with his/her car. As per the latest trend in the Indian automobile sector, buyers are more interested in SUV (Sport Utility Vehicle) or Micro SUV cars due to several reasons. It’s observed that while driving a car, it is advantages if the driver sits at a higher height as compared with hatchback & sedan cars. This is one of the most common reasons for the increasing popularity of SUVs in India nowadays. Due to these reasons more and more companies are launching new cars in this segment to attract their buyers. On the one hand, customers are having many options to compare but on another hand, they are perplexed to determine which SUV is best for them as per their requirements, purpose & budget. In such a situation, buyers may look for the TOPSIS method which is a selection procedure technique. TOPSIS is based on the concept that the chosen alternative should have the shortest geometric distance from the positive ideal solution (PIS) and the longest geometric distance from the negative ideal solution (NIS). In this paper some SUV cars are considered with different attributes and the TOPSIS method is applied to determine the best car for the buyer.

scholarly journals An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

2016 ◽  
Vol 15 (04) ◽  
pp. 861-885 ◽  
Author(s):  
Miguel Angel Ortiz Barrios ◽  
Fabio De Felice ◽  
Kevin Parra Negrete ◽  
Brandon Aleman Romero ◽  
Adriana Yaruro Arenas ◽  
...  
Keyword(s):  
Medical Equipment ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Crucial Step ◽  
Complex Decision ◽  
Mcdm Method ◽  
Hierarchy Process

Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented.

scholarly journals Sistem Pendukung Keputusan Untuk Menentukan Prestasi Akademik Siswa dengan Metode TOPSIS

2015 ◽  
Vol 2 (2) ◽  
pp. 153
Author(s):  
Amelia Nur Fitriana ◽  
Harliana Harliana ◽  
Handaru Handaru
Keyword(s):  
Academic Achievement ◽  
Decision Making ◽  
Student Learning ◽  
Ideal Solution ◽  
Topsis Method ◽  
Learning Outcomes Assessment ◽  
Average Value ◽  
Relative Preference ◽  
Utilization Data ◽  
Negative Ideal Solution

Pengambilan keputusan pada suatu lembaga/sekolah merupakan hal yang sangat penting. Kepala sekolah seharusnya mengambil sebuah keputusan berdasarkan perhitungan dan pemikiran jangka panjang agar keputusan menentukan prestasi akademik siswa yang akan diambil tidak salah. Di MA Darul Masholeh masih terdapat masalah dalam membuat laporan pembelajaran siswa, untuk menentukan siswa yang berprestasi hanya ditentukan menggunakan nilai rapot, belum adanya pemanfaatan secara optimal data laporan penilaian hasil belajar siswa, masih adanya kesulitan untuk mengetahui pencapaian dari kegiatan pembelajaran siswa. Dengan menggunakan metode TOPSIS dapat mempermudah guru untuk menentukan prestasi akademik siswasecara tepat dan cepat, dimana metode topsis adalah salah satu metode pengambilan keputusan dimana alternative yang terpilih merupakan alternatif terbaik yang mempunyai jarak terdekat dari solusi ideal positif dan terjauh dari solusi ideal negatif. Dari pengujian 20 alternative dengan 6 kriteria yaitu hafalan al-qur’an, nilai rata-rata rapot, absensi, nilai minimal, total nilai dan piagam prestasi. Dari 20 alternative di dapatkan siswa yang berprestasi yaitu diurutan pertama Wildan dengan nilai preferensi relative 0,66, Kedua Ratna (0,64), ketiga Sinta (0,55), keempat Rini (0,50), Kelima Faisal (0,38) dan terakhir Sadriyah dengan nilai preferensi relative (0,00).Decision-making in an institution/school is very important. School principals should take a decision based on the calculation and long-term thinking in order to decide on the academic achievement of students who will be taken not wrong. In MA Darul Masholeh there is still a problem in reporting student learning, to determine student achievement is only determined using rapot value, the lack of optimal utilization data reporting student learning outcomes assessment, there is still difficult to determine the achievement of student learning activities. By using TOPSIS method can simplify the teacher to determine academic achievement siswasecara precise and fast, which TOPSIS method is one method of decision-making in which the chosen alternative is the best alternative that has the shortest distance from the positive ideal solution and the farthest from the negative ideal solution. Of the 20 alternative testing with 6 criteria that memorizing the Qur'an, the average value rapot, absenteeism, minimum value, the total value and charter achievement. Of the 20 alternative in getting students who excel are listed first Wildfire with relative preference value of 0.66, the Second Ratna (0.64), third Sprott (0.55), fourth Rini (0.50), the Fifth Faisal (0.38) and the last Sadriyah with relative preference value (0.00).

scholarly journals Comparison of the Economic Performance of Turkish Republics in Central Asia with TOPSIS Method

2015 ◽  
Author(s):  
Ziya Gökalp Göktolga ◽  
Engin Karakış ◽  
Hakan Türkay
Keyword(s):  
Decision Making ◽  
Central Asia ◽  
Economic Performance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Economic Management ◽  
Macroeconomic Indicators ◽  
Order Preference ◽  
Negative Ideal Solution

The aim of this study is to compare the economic performance of Turkish Republics in Central Asia with Multi Criteria Decision Making (MCDM) methods. Turkish Republics have been experiencing a transition from a centrally planned economy towards a market economy since their independence. In this study important macroeconomic indicators are used to determine economic performance. Economic performance evaluation of the country is an important issue for economic management, investors, creditors and stock investors. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method outranks the countries according to the proximity of the positive ideal solution and distance of the negative ideal solution. Economic Performance of Turkish Republics in Central Asia (Azerbaijan, Turkmenistan, Kazakhstan, Kyrgyzstan, and Uzbekistan) are compared with TOPSIS method. İnvestigated with TOPSIS method countries best and worst economic performance years are detected during mentioned period and results are analyzed.

scholarly journals Perbandingan Metode TOPSIS Dan SAW Dalam Penentuan Guru Berprestasi

2019 ◽  
Vol 5 (1) ◽  
pp. 29-34
Author(s):  
TITIN PRIHATIN
Keyword(s):  
Middle School ◽  
Point Of View ◽  
Weighted Sum ◽  
Ideal Solution ◽  
Topsis Method ◽  
Weighted Sum Method ◽  
Geometric Point ◽  
Negative Ideal Solution ◽  
Simple Additive Weighting

- Determination of outstanding teachers at Pondok Duta Islamic Middle School has been applied every year. This process is very important to improve the quality of human resources in the progress of Pondok Duta Islamic Middle School. In its implementation, the determination of teachers with pretensions is still considered subjective, because it is only based on personal opinions and is not based on certain criteria. The Simple Additive Weighting (SAW) method is often known as the weighted sum method. The basic concept of the method of Simple Additive Weighting (SAW) is to find a weighted sum of performance ratings on each alternative on all attributes. While the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS) method uses the principle that the chosen alternative must have the longest (farthest) distance from the negative ideal solution from a geometric point of view using the relative proximity of an alternative. The two methods, namely the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS) method and the Simple Additive Weighting (SAW) method can help in the process of determining the teacher to be prescribed who recommend results based on the main criteria that have been determined.

scholarly journals Utilization of metallurgical solid by-products for the development of inorganic polymeric construction materials

2013 ◽  
Vol 11 (2) ◽  
pp. 127-136
Keyword(s):  
Compressive Strength ◽  
Water Absorption ◽  
Red Mud ◽  
Building Materials ◽  
Construction Materials ◽  
Polymeric Materials ◽  
X Ray Diffraction ◽  
Industrial Sectors ◽  
Aluminium Production ◽  
Mechanical And Physical Properties

This paper deals with the geopolymerization of the red mud generated in the primary aluminium production and the slag generated in the ferronickel production, in order to develop inorganic polymeric materials with advanced mechanical and physical properties. In particular, the effect of the main synthesis parameters of the inorganic polymeric materials on their mechanical strength and water absorption was investigated. Moreover, the structure of the inorganic polymeric materials was studied according to X-ray Diffraction analysis, Fourier Transform Infra Red spectroscopy and Scanning Electronic Microscopy. The inorganic polymeric materials produced by the geopolymerization of the red mud developed compressive strength up to 21 MPa and presented water absorption lower than 3 %, while the geopolymerization of the ferronickel slag resulted in materials with compressive strength higher than 110 MPa and extremely low water absorption (< 1 %). According to these results, the developed materials may be viewed as alternatives in the industrial sectors of construction and building materials.

scholarly journals Analysis and Design of Decision Support System Systems in Choosing the Best Supplier Using the TOPSIS Method at PT. Bintang Putra Mandiri

Tech-E ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Kelvin Tri Tama ◽  
Andi Leo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Optimal Solution ◽  
Point Of View ◽  
Ideal Solution ◽  
Topsis Method ◽  
Analysis And Design ◽  
Geometric Point ◽  
Negative Ideal Solution

Analysis and design of a decision support system aims to deal with problems in selecting the best supplier which is a problem at PT. Independent male star. PT. Bintang Putra Mandiri is a company engaged in the subsidized housing contractor and developer. With the existing problems, we need a system that can help companies to help determine the best supplier. Then produced a system that can help companies by using the TOPSIS method. TOPSIS uses the principle that the chosen alternative must have the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution from a geometric point of view using the Euclidean distance to determine the relative proximity of an alternative to the optimal solution. As a result, PT. Bintang Putra Mandiri can determine the best supplier precisely. And the TOPSIS method is able to support supplier selection decisions by ranking

scholarly journals IMPLEMENTATION TECHNIQUE METHOD FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) IN ASSESMENT OF DOG CHARACTERISTICS SYSTEM

2019 ◽  
Vol 2 (2) ◽  
pp. 171-180
Author(s):  
Christine ◽  
Halim Agung
Keyword(s):  
Assessment System ◽  
Ideal Solution ◽  
Topsis Method ◽  
Kennel Club ◽  
Order Preference ◽  
Filter Process ◽  
Negative Ideal Solution ◽  
Topsis Technique ◽  
Different Characteristics ◽  
Implementation Technique

Dogs are the most populated animals in 2016 according to a survey of pet populations by the UK's association of animal food makers (PFMA). With so many types of dogs and different characteristics, not all humans can choose the type of dog that suits their situation and condition. These non-conformities cause dogs to be dumped on the streets or abandoned without proper care. Therefore the dog characteristics assessment system is made which aims to facilitate the user in choosing the type of dog that is suitable for the user's situation and condition. This system is made using the TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution). This system is based on the data of dogs registered with the AKC (American Kennel Club). This system uses eight criteria, three criteria for the filter process and five criteria for the weighting process. Of the five weighting criteria, there are three cost attributes and two benefit attributes. In the TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution) uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest (farthest) distance from the negative ideal solution. The results obtained from this assessment system are by theory-based testing 50 times with a 78% suitability match percentage. The conclusion obtained from this research is the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is quite efficient to be applied in a dog characteristic assessment system

A Novel Method to Assign Weights to Decision Makers for each Criterion in Group Decision Making Under Multiple Criteria with Crisp and Interval Data

2018 ◽  
Vol 5 (2) ◽  
pp. 15-46 ◽  
Author(s):  
Mohammad Azadfallah
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Interval Data ◽  
Decision Makers ◽  
Ideal Solution ◽  
Optimal Weights ◽  
Novel Method ◽  
Negative Ideal Solution ◽  
Individual Group Member

This article focuses on determining the weights of decision makers (DMs) in multi-criteria group decision making (MCGDM) environments with both crisp and interval data, in which the weights of DMs are derived from the decision matrices and DMs, have different weights for different criteria. In order to determine the optimal weights of DMs for each criterion, a new TOPSIS-based approach is introduced. In the proposed method, the DMs weight for each criterion is depends on the distances from each individual group member decision to the positive and negative ideal solution. In other words, the DM has a large weight if his/ her decision information is close (far) to the positive (negative) ideal solution, and has a small weight if his/ her decision information is far (close) from the positive (negative) ideal solution. Finally, a numerical example is given to demonstrate the feasibility of the developed methods.

Decision Support System for Home Selection in South Tangerang City Using TOPSIS Method

2020 ◽  
Vol 7 (2) ◽  
pp. 76-81
Author(s):  
Haris Widjaja ◽  
Ririn Ikana Desanti
Keyword(s):  
Decision Support ◽  
Support System ◽  
Calculation Result ◽  
Ideal Solution ◽  
Topsis Method ◽  
Land Area ◽  
Shortest Distance ◽  
Building Area ◽  
Negative Ideal Solution ◽  
Location Design

The desire to have a dream house makes people consider of the criteria of the house they will be lived. Many developers offer a variety of house alternatives ranging from price, location, design, building area and land area. Customers are pleased to choose their dream house as their desired. Based on that situation, this research is conduct to create a web-bases application for home selection that consider the useful criteria to help consumers choose a decent home by using the Technique for Order of Preference by Similarity To Ideal Solution (TOPSIS) method. The TOPSIS method has the concept that the best alternative has the shortest distance from a positive ideal solution and also has the farthest distance from a negative ideal solution. This TOPSIS method is applied to provide recommendations on the choice of home decisions in the South Tangerang area based on predetermined criteria. The results obtained in the TOPSIS calculation are the housing recommendations that are closest to the value of the calculation result.

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