EFFICIENCY OF DISTRICTS IN SLOVAKIA USING ENTROPY METHOD AND PRINCIPAL COMPONENT ANALYSIS

被引:0
|
作者
Sudzina, Frantisek [1 ]
机构
[1] Slovenska Akad Vied, Ekon Ustav, Bratislava 81105, Slovakia
关键词
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Annotation Media often discuss the economic situation in different regions based only on average salary or unemployment figures. Additional factors, such as job availability or territory are virtually never considered. The aim of paper is to compare Slovak districts - NUTS (Nomenclature of Territorial Units for Statistics) 3 - based on aggregate criteria. Two data-driven methods are used for the evaluation - entropy method and principal component analysis. They were chosen because they both are non-parametric but they differ in weight calculation. The same set of criteria will be used for both methods and the results will be compared in order to estimate the effect of the chosen method. Since both methods are static, average data from 2004-2007 will be used to compensate for temporal changes. Moreover, efficiencies of city and non-city districts will be compared.
引用
收藏
页码:50 / 56
页数:7
相关论文
共 50 条
  • [21] Optimization of hot turning parameters using principal component analysis method
    Parida, Asit Kumar
    Maity, Kalipada
    Ghadei, Sataya Brata
    MATERIALS TODAY-PROCEEDINGS, 2020, 22 : 2081 - 2087
  • [22] Improved Face Recognition Method Using Genetic Principal Component Analysis
    E.Gomathi
    K.Baskaran
    Journal of Electronic Science and Technology, 2010, 8 (04) : 372 - 378
  • [23] AHU sensor fault diagnosis using principal component analysis method
    Wang, SW
    Xiao, F
    ENERGY AND BUILDINGS, 2004, 36 (02) : 147 - 160
  • [24] An Outlier Fault Diagnosis Method Based on Principal Component of Entropy Weight
    Long, Yufeng
    Shi, Xianjun
    Xiao, Zhicai
    Zhang, Zhilong
    2021 2ND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND INTELLIGENT CONTROL (ICCEIC 2021), 2021, : 158 - 161
  • [25] Multiresolution using principal component analysis
    Brennan, V
    Principe, J
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 3474 - 3477
  • [26] Evaluating the Efficiency of Mobile Content Companies Using Data Envelopment Analysis and Principal Component Analysis
    Cho, Eun Jin
    Park, Myeong Cheol
    ETRI JOURNAL, 2011, 33 (03) : 443 - 453
  • [27] Data Analysis Using Principal Component Analysis
    Sehgal, Shrub
    Singh, Harpreet
    Agarwal, Mohit
    Bhasker, V.
    Shantanu
    2014 INTERNATIONAL CONFERENCE ON MEDICAL IMAGING, M-HEALTH & EMERGING COMMUNICATION SYSTEMS (MEDCOM), 2015, : 45 - 48
  • [28] Optical design of contact lenses using principal component analysis method with Taguchi method
    Yen, Chih-Ta
    Ye, Jhe-Wen
    APPLIED MATHEMATICAL MODELLING, 2015, 39 (19) : 5778 - 5782
  • [29] Entropy-Aided Assessment of Amla (Emblica officinalis) Quality Using Principal Component Analysis
    Mukherjee, Alok
    Chatterjee, Kingshuk
    Sarkar, Tanmay
    BIOINTERFACE RESEARCH IN APPLIED CHEMISTRY, 2022, 12 (02): : 2162 - 2170
  • [30] Randomized Method for Robust Principal Component Analysis
    Liu, Sanyang
    Zhang, Chong
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2018), 2018,