Fuzzy logic approach in energy security decision-making: "ESecFuzzy" software application

被引:4
|
作者
Simic, Goran [1 ]
Radovanovic, Mirjana [2 ]
Filipovic, Sanja [3 ,4 ]
Mirkovic Isaeva, Olga
机构
[1] Univ Def Belgrade, Pavla Jurisuica Sturma 1, Belgrade 11000, Serbia
[2] EDUCONS Univ, Fac Secur Studies, 87 Vojvode Putnika St, Sremska Kamenica 21208, Serbia
[3] Singidunum Univ, Danijelova 32, Belgrade 11000, Serbia
[4] Inst Social Sci, Kraljice Natalije 45, Belgrade 11000, Serbia
关键词
Energy security; Data processing; Fuzzy logic; Software design; Multi-valued computing; Decision-making; PERSPECTIVES; SETS; EU;
D O I
10.1007/s00500-021-05976-y
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The main aim of this paper is to design and test new software application to support experts involved in decision-making in the field of energy security. The prototype named ESecFuzzy is designed for this purpose. It implements various fuzzy concepts (fuzzy rules, fuzzified input data, fuzzy variables utilized by fuzzy terms and related fuzzy sets) chosen to obtain reasoning in case of unclear, uncertain or even incomplete input data for reaching a conclusion about them. The research was conducted on a sample of 28 European Union countries over a ten-year period (2008-2017). The research outcomes are as follows: (a) ESecFuzzy application for energy security measurement was developed; (b) application testing; (c) measuring energy security on a given sample, and (d) evaluation of the accuracy and acceptability of fuzzy logic as an approach for energy security quantification. ESecFuzzy provides the experimenting with different input data (time series intersected with geospatial data) as well as fine-tuning of fuzzy rules in knowledge base. Through the evaluation and experimenting process, ESecFuzzy application demonstrated the advantage of fuzzy logic by obtaining the derived information based on mass of heterogeneous data organized in time series that indicate general trends in the target application domain.
引用
收藏
页码:10813 / 10828
页数:16
相关论文
共 50 条
  • [1] Fuzzy logic approach in energy security decision-making: “ESecFuzzy” software application
    Goran Šimić
    Mirjana Radovanović
    Sanja Filipović
    Olga Mirković Isaeva
    [J]. Soft Computing, 2021, 25 : 10813 - 10828
  • [2] Decision-making: a classical logic or a Fuzzy logic?
    Khcherem, Fatma
    Bouri, Abdelfettah
    [J]. CREATING GLOBAL ECONOMIES THROUGH INNOVATION AND KNOWLEDGE MANAGEMENT: THEORY & PRACTICE, VOLS 1-3, 2009, : 217 - 232
  • [3] Application of fuzzy logic for decision-making in medical expert systems
    Korenevskiy, N.A.
    [J]. Biomedical Engineering, 2015, 49 (01) : 33 - 35
  • [4] Application of Fuzzy Logic for Decision-Making in Medical Expert Systems
    N. A. Korenevskiy
    [J]. Biomedical Engineering, 2015, 49 (1) : 46 - 49
  • [5] Fuzzy logic in decision-making process
    Wolf, Petr
    [J]. MATHEMATICAL METHODS AND COMPUTATIONAL TECHNIQUES IN RESEARCH AND EDUCATION, 2007, : 282 - +
  • [6] Fuzzy logic operators in decision-making
    Peneva, V
    Popchev, I
    [J]. CYBERNETICS AND SYSTEMS, 1999, 30 (08) : 725 - 745
  • [7] Fuzzy logic and decision-making in anaesthetics
    Grant, P
    Naesh, O
    [J]. JOURNAL OF THE ROYAL SOCIETY OF MEDICINE, 2005, 98 (01) : 7 - 9
  • [8] A fuzzy logic approach for the multicriteria optimization of decision-making applied to the FMEA
    Ben Romdhane, Taieb
    Ben Ammar, Faouzi
    Badreddine, Ahmed
    [J]. JOURNAL OF DECISION SYSTEMS, 2007, 16 (04) : 505 - 544
  • [9] Fuzzy Logic for Decision-Making and Personnel Selection
    Ruvalcaba Coyaso, Francisco Javier
    Vermonden, Anais
    [J]. REVISTA UNIVERSIDAD EMPRESA, 2015, 17 (29): : 239 - 256
  • [10] Energy of a fuzzy soft set and its application in decision-making
    Mudric-Staniskovski, Lj.
    Djurovic, Lj.
    Stojanovic, N.
    [J]. IRANIAN JOURNAL OF FUZZY SYSTEMS, 2024, 21 (02): : 35 - 49