Results 261 to 270 of about 11,976 (297)

Evaluation Financial Performance of Health Institutions By Gray Relational Analysis

2022
Bu araştırmada, Türkiye Cumhuriyeti Merkez Bankası (TCMB) tarafından verisi yayımlanan insan sağlığı hizmetleri sektörü dahilinde faaliyet gösteren orta ve büyük ölçekli sağlık kurumlarının finansal performansını değerlendirmek amaçlanmıştır. Orta ve büyük ölçekli sağlık kurumlarının 2020 yılı finansal tablolarıyla hesaplanan finansal oranlar Gri ...
IŞIKÇELİK, Ferda, AĞIRBAŞ, İsmail
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Air Quality Evaluation Method Based on Gray Relational Analysis

2013
With the rapid development of economy and industrialization, the production of high polymer materials such as rubber, plastic, polymer fibre, adhesive, polymer coating, and polymer matrix composites can produce severe environment pollution and lead to deteriorating air quality. Air quality has worsened which has been threatening people’s life.
Zhongwen Chen, Genyu Chen
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The Financial Performance Evaluation of Municipalities with Gray Relation Analysis

2021
With the emergence of the concept of the social municipality, the authorities and obligations of municipalities have increased. Nowadays, municipalities provide a large number of services in terms of quantity with extended budgets. Citizens demand a transparent, effective, and efficient public service.
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Metode Gray Relational Analysis (GRA)

Grey Relational Analysis (GRA), yang pertama kali dikembangkan oleh Profesor Deng Julong pada 1980-an, merupakan metodologi yang dirancang untuk mengatasi tantangan dalam analisis situasi di mana informasi tidak lengkap atau tidak pasti, yang merupakan kondisi yang sering muncul dalampengambilan keputusan (Kuo, Yang dan Huang, 2008; Wei, 2010; Hsiao ...
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Research and application of gray relational effectiveness analysis based on TOPSIS

2007 IEEE International Conference on Grey Systems and Intelligent Services, 2007
It is a complex question to evaluate the communication system effectiveness, which is related to so many factors, as an important technique support for command of future joint operations, it is urgent to analyze and assess the effectiveness of military communication system and its contribution to combat command.
null Kai Su, null Quan Yu, null Jie Zhang   +2 more
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A new method for filling missing values by gray relational analysis

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011
In Data Mining and Machine Learning, the missing attribute will have a negative impact on the learning results. The filling of missing values is a very challenging work. In this paper, a new algorithm based on gray relational analysis is presented, which takes the differences of the relationships between the properties into account.
null Bingwei Han, null Shuangjiu Xiao, null Lu Liu, null Zhijing Wu   +3 more
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ANALYSIS OF THE MACROECONOMIC PERFORMANCES OF EUROPEAN COUNTRIES BY GRAY RELATIONAL ANALYSIS

2020
Purpose - A macroeconomic analysis is a statistical analysis showing the current situation of the economy. Thanks to this analysis, individuals, investors, companies, states, and the public can perceive the strengths and weaknesses of the economy and make decisions accordingly.
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Investigation of ERP System using Gray Relational Analysis

2023 1st International Conference on Cognitive Computing and Engineering Education (ICCCEE), 2023
Pooja Pathak, Rohit Agrawal
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Trend Analysis and Gray Relational Analysis (Gra) Financial Table Performance Analysis

2019
Bu çalışmada ABCgrubunun üyesi olan beş çimento firmasının bilanço gelir tablolarınınperformans analizi gerçekleştirilmiştir. Bu bağlamda A, B, C, D ve E olarakadlandırılan firmaların 2012-2016 dönemine ait bilanço ve gelir tablo verileriincelenmiştir.
ÖZARİ, Çiğdem, DEMİR EROL, Esra
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Intuitionistic Fuzzy SVM based on Kernel Gray Relational Analysis

Proceedings of the Romanian Academy, Series A: Mathematics, Physics, Technical Sciences, Information Science
Fuzzy Support Vector Machine (FSVM) is a machine learning algorithm that combines fuzzy logic with Support Vector Machine (SVM) to deal with the uncertainty and fuzziness in classification and regression problems. This algorithm improves the performance of traditional SVM by introducing fuzzy membership degrees, making it more robust when handling ...
Zhe JU, Qingbao ZHANG
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