Evaluation of Cyberwar’s Synthetical Ability Based on TOPSIS Method

2014 ◽  
Vol 615 ◽  
pp. 286-289
Author(s):  
Jia Ping Tian ◽  
Su Na Cao ◽  
Jia Xing Du ◽  
Ping Chen ◽  
Huan Zhan
Keyword(s):  
Ideal Solution ◽  
Topsis Method ◽  
Order Preference ◽  
Evaluation Parameters

A evaluation of cyberwar’s synthetical ability based on TOPSIS method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new idea to the evaluation of cyberwar’s synthetical ability.

Comprehensive Evaluation on Weapon System of Main Battle Tank Based on Topsis Method

2012 ◽  
Vol 538-541 ◽  
pp. 2949-2952
Author(s):  
Run Bo Ma ◽  
Shi Meng Xu ◽  
Yu Cai Dong ◽  
Ge Hua Fan
Keyword(s):  
High Stability ◽  
Comprehensive Evaluation ◽  
Ideal Solution ◽  
Weapon System ◽  
Topsis Method ◽  
Order Preference ◽  
Evaluation Parameters ◽  
New System

An integrated evaluation of the modern main battle tank based on Topsis method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The results show that this mode1 features convenient calculations，high distinguish efficiency and high stability. The article supplies a new system to the comprehensive evaluation of the modern main battle tank.

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 PEMILIHAN WISATA MENGGUNAKAN TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) DENGAN VISUALISASI LOKASI OBJEK

2018 ◽  
Vol 5 (1) ◽  
pp. 75
Author(s):  
Dwi Ely Kurniawan
Keyword(s):  
Tourist Attraction ◽  
Ideal Solution ◽  
Topsis Method ◽  
Google Maps ◽  
Web Based ◽  
Strategic Location ◽  
Order Preference ◽  
To Come ◽  
Tourism Potential ◽  
Tourist Information

<p><em>Batam is one of the existing city in Riau Islands Province, Indonesia. The amount of tourism potential and strategic location for tourists to come to Batam. But what is being searched is the difficulty of finding a tourist attraction based on certain parameters. To overcome these problems, it takes a technology that provides tourist recommendation map information. This research develops this application to give recommendation of tourism based on certain parameters as needed by using TOPSIS method in Batam City web based. The results of development, the application can run functionally (online), can store the tour data and criteria. It can also do the calculation of attractions based on TOPSIS decision. Users can fill the weight of some parameters of distance, time and cost. In order to provide ease in location visualization, the final result of decision calculation is able to provide tourist information in the form of object location of Google Maps API and a brief description of the tour.</em></p><p><em><strong>Keywords</strong>: location, tourist attraction, decision, TOPSIS</em></p><p><em>Batam merupakan salah satu Kota yang terdapat di Provinsi Kepulauan Riau, Indonesia. Banyaknya potensi pariwisata dan lokasi yang strategis membuat peluang wisatawan untuk datang ke Kota Batam. Namun kendala yang ditemukan adalah sulitnya menemukan objek wisata berdasarkan parameter tertentu. Untuk mengatasi masalah tersebut, maka dibutuhkan sebuah teknologi aplikasi yang menyajikan informasi peta rekomendasi wisata di Kota Batam berbasis web. Penelitian ini mengembangkan aplikasi ini untuk memberikan rekomendasi wisata berdasarkan parameter tertentu sesuai kebutuhan wisatawan dengan menggunakan metode TOPSIS. Hasil pengembangan aplikasi dapat berjalan secara online dapat mengelola data wisata dan data kriteria. Selain itu juga dapat melakukan perhitungan objek wisata berdasarkan keputusan TOPSIS. Pengguna dapat mengisi bobot dari beberapa parameter yaitu waktu, jarak dan biaya. Agar dapat memberikan kemudahan dalam visualisasi lokasi hasil akhir perhitungan keputusan, memberikan informasi wisata berupa lokasi objek dari Google Maps API dan deskripsi singkat wisata tersebut.</em></p><p><em><strong>Kata Kunci</strong>: lokasi, potensi wisata, keputusan, TOPSIS</em></p><p><em><br /></em></p>

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI PEMBUKAAN CABANG USAHA ONLINE BICYCLE INDONESIA DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) DAN TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS)

2021 ◽  
Vol 11 (2) ◽  
pp. 469-479
Author(s):  
Rizki Adha ◽  
Tjahjanto Tjahjanto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Food Delivery ◽  
Ideal Solution ◽  
Fixed Costs ◽  
Topsis Method ◽  
Order Preference ◽  
Hierarchy Process

The choice of business location will affect the risks and benefits of the company as a whole. This condition occurs because the location greatly affects the fixed costs and variable costs, both in the medium term and long term. The location of the business should be taken into account at the time of planning, so that the business to be run can be organized implementation in the future. Online Bicycle Indonesia is a startup engaged in goods and food delivery services by using online-based bike, will open branches in several cities and districts in Tangerang Raya area so that the result of choosing the right branch location, required a dynamic decision support system that can later be used as consideration of managers in the process of selecting branch locations. Problems in selecting branch of this company can be used Decision Support System using AHP-TOPSIS method. Analytical Hierarchy Process (AHP) method has advantages based on pair comparison matrix and perform consistency analysis, while Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method can solve practical decision making, because the concept is simple and easy to understand, and have the ability to measure the relative performance of decision alternatives. The results of the study show Kota Tangerang Selatan is superior to the weight of 0.824, the two Kota Tangerang with a weight of 0.732 and three Kabupaten Tangerang with a weight of 0.0, The decision taken can be accounted for by the calculation of AHP-TOPSIS as a model in the decision support system

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMBELIAN MOBIL MENGGUNAKAN METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY OF IDEAL SOLUTION (TOPSIS) DI KELIP MOTOR KARANGANYAR

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Yulian Tirta Saputra ◽  
Sri Hariyati Fitriasih ◽  
Setiyowati Setiyowati Setiyowati
Keyword(s):  
Decision Support ◽  
Research Method ◽  
Purchase Decision ◽  
Ideal Solution ◽  
Purchasing Decisions ◽  
Topsis Method ◽  
Application System ◽  
Order Preference ◽  
The Many ◽  
Collection Methods

Car is one of the means of transportation that is growing rapidly in the country of Indonesia, because of its comfort and safety. However, problems arise when buyers will buy a car vehicle often faced with a variety of choices of years, types, prices and various other criteria offered. Of the many criteria, buyers have difficulty comparing criteria with other criteria. So, a decision support system was built using the TOPSIS method to rank each alternatif cars based on criteria. The purpose of this study is to build a system of car purchase decision support applications using the TOPSIS method that can provide car recommendations in accordance with the wishes of the buyer. The research method used includes data collection methods and system design methods. The formulation of the problem in this study is how to make car purchasing decisions at Kelip Motor Karanganyar applying the TOPSIS method and how to build an application system for car purchasing decisions by applying the TOPSIS method at Kelip Motor Karanganyar. The result of this research is to build an application system for car purchasing decisions in Kelip Motor Karanganyar using the TOPSIS method.

scholarly journals Penerapan Metode Topsis Untuk Pemilihan Vendor Terbaik

2021 ◽  
Vol 11 (2) ◽  
pp. 19-30
Author(s):  
Derman Janner Lubis ◽  
Nur Amalina Anindita
Keyword(s):  
Calculation Method ◽  
Research Method ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Matrix ◽  
Relative Closeness ◽  
The Matrix ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of

The selection of vendors to work on a project is an activity that must be carried out effectively and precisely so that the project is carried out in accordance with business needs and does not suffer losses. To get the best vendor ranking, you can use the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) calculation method. TOPSIS method is a method that generates rankings by calculating the distance between the best solution and the worst solution. The steps to calculate using TOPSIS are identification of alternatives and their values, create a decision matrix, normalize the matrix, calculate the normalization matrix, look for positive and negative solutions, calculate the distance between positive and negative solutions, and calculate relative closeness and sort preferences. In this study using 8 criteria and 5 alternative vendors. Research method using research and development. This method will produce a prototype. The results of the calculation of TOPSIS obtained vendor c who gets the highest score and vendor b with the lowest rank

Supplier Selection using MADM Method Under Uncertainty

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Mohammad Azadfallah
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Selection Process ◽  
Interval Data ◽  
Entropy Method ◽  
Ideal Solution ◽  
Topsis Method ◽  
Powerful Technique ◽  
Order Preference

In existing literature, there are several studies on supplier selection process, which opine that the suppliers information is usually incomplete and uncertain. Several methods have been proposed for solving this problem, one of which is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method with interval data. There is no doubt that the TOPSIS with interval data method is a powerful technique in uncertain decision-making context. Despite its usefulness, it is logical that when data are imprecise, weight is imprecise too. To overcome this limit, the extended Shannons Entropy method with interval data is used. The main findings of this study confirm the effectiveness of the hybrid proposed models.

scholarly journals Generalized Grey Target Decision Method for Mixed Attributes Based on Kullback-Leibler Distance

Entropy ◽  
2018 ◽  
Vol 20 (7) ◽  
pp. 523 ◽  
Author(s):  
Jinshan Ma
Keyword(s):  
Final Decision ◽  
Ideal Solution ◽  
Topsis Method ◽  
Connection Number ◽  
Decision Method ◽  
Order Preference ◽  
Negative Target

A novel generalized grey target decision method for mixed attributes based on Kullback-Leibler (K-L) distance is proposed. The proposed approach involves the following steps: first, all indices are converted into index binary connection number vectors; second, the two-tuple (determinacy, uncertainty) numbers originated from index binary connection number vectors are obtained; third, the positive and negative target centers of two-tuple (determinacy, uncertainty) numbers are calculated; then the K-L distances of all alternatives to their positive and negative target centers are integrated by the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method; the final decision is based on the integrated value on a bigger the better basis. A case study exemplifies the proposed approach.

The Evaluation Model of Dangerous Reservoirs Treatment

2013 ◽  
Vol 671-674 ◽  
pp. 3044-3048
Author(s):  
Jian Wen Huang ◽  
Juan Mei Qin ◽  
Da Lin Lu ◽  
Rong Luo
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Scientific Basis ◽  
Ideal Solution ◽  
Entropy Theory ◽  
Effect Evaluation ◽  
Topsis Method ◽  
Post Evaluation ◽  
Order Preference

At present, the treatment effect evaluation is mostly used to evaluate the result of dangerous reservoirs reinforcement which belongs to the post-evaluation. Due to the large quantity, difficult treatment, and limited funds of dangerous reservoirs in our country, this paper proposes the priority evaluation model of dangerous reservoirs treatment which belongs to the pre-evaluation. And in the paper the endangering degree index is added into the previous technology-based evaluation system to make it more close to reality. The information entropy theory is used to determine the weights of index system, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to confirm the order of dangerous reservoirs treatment in a range. At last a case study is given to verify the feasibility and practicability of the model. It provides scientific basis for program decision-making.

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