Аналіз і огляд нечіткої оцінки діяльності
In modern conditions a comprehensive analysis of development trends and their effectiveness in various areas of human activity increasingly requires the analysis of data accumulated in numerous documents stored on the global network. Such an analysis is based on annual results in many areas of resea...
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2021
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Репозитарії
System research and information technologies| _version_ | 1867334419898957824 |
|---|---|
| author | Yu, Junfeng Yang, Zijiang Guo, Jianping Globa, Larysa |
| author_facet | Yu, Junfeng Yang, Zijiang Guo, Jianping Globa, Larysa |
| author_institution_txt_mv | [
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"author": "Junfeng Yu",
"institution": "Information Research Institute of Shandong Academy of Sciences, Jinan"
},
{
"author": "Zijiang Yang",
"institution": "Institute of Automation of Shandong Academy of Sciences, Jinan"
},
{
"author": "Jianping Guo",
"institution": "Information Research Institute of Shandong Academy of Sciences, Jinan"
},
{
"author": "Larysa Globa",
"institution": "National Technical University of Ukraine \"Igor Sikorsky Kyiv Polytechnic Institute\", Kyiv"
}
] |
| author_sort | Yu, Junfeng |
| baseUrl_str | http://journal.iasa.kpi.ua/oai |
| collection | OJS |
| datestamp_date | 2022-02-09T17:33:09Z |
| description | In modern conditions a comprehensive analysis of development trends and their effectiveness in various areas of human activity increasingly requires the analysis of data accumulated in numerous documents stored on the global network. Such an analysis is based on annual results in many areas of research, time trends and keywords. This analysis has certain peculiarities: it requires an analysis of not always accurate numerical information, comparison of qualitative indicators, obtaining both qualitative and quantitative characteristics, as well as the use of reference information for researchers and decision makers in related fields. In this regard, in recent years, a fuzzy assessment based on fuzzy mathematics is increasingly used in all types of assessing the effectiveness of various activities. The paper deals with conducting a bibliometric study based on the Extended Science Citation Index (SCI-E) and fuzzy performance measures to understand research trends and areas of focus. This paper takes the relevant scientific papers in Web of Science database as the research object, and analyzes the research trends with the help of bibliometrics. The results show that the number of papers published in the world is on the rise. The number of papers published in China and Iran is higher than that in other countries and regions. However, the number of papers cited in the United States and Turkey is higher than that in other countries or regions. Islamic Azad University is the largest. The research topics focus on fuzzy sets, fuzzy logic, genetic algorithms and performance evaluation. The research hotspots before 2011 included expert systems, neuro-fuzzy systems, and pattern recognition. After 2011, the research hotspots became neural networks, fuzzy sets, and machine learning. |
| doi_str_mv | 10.20535/SRIT.2308-8893.2021.3.07 |
| first_indexed | 2025-07-17T10:27:34Z |
| format | Article |
| fulltext |
Junfeng Yu, Zijiang Yang, Jianping Guo, Larysa Globa, 2021
86 ISSN 1681–6048 System Research & Information Technologies, 2021, № 3
UDC 519-7.51
DOI: 10.20535/SRIT.2308-8893.2021.3.07
ANALYSIS AND REVIEW ON FUZZY EVALUATION
OF THE PERFORMANCE
JUNFENG YU, ZIJIANG YANG, JIANPING GUO, LARYSA GLOBA
Abstract. In modern conditions a comprehensive analysis of development trends
and their effectiveness in various areas of human activity increasingly requires the
analysis of data accumulated in numerous documents stored on the global network.
Such an analysis is based on annual results in many areas of research, time trends
and keywords. This analysis has certain peculiarities: it requires an analysis of not
always accurate numerical information, comparison of qualitative indicators, obtain-
ing both qualitative and quantitative characteristics, as well as the use of reference
information for researchers and decision makers in related fields. In this regard, in
recent years, a fuzzy assessment based on fuzzy mathematics is increasingly used in
all types of assessing the effectiveness of various activities. The paper deals with
conducting a bibliometric study based on the Extended Science Citation Index (SCI-
E) and fuzzy performance measures to understand research trends and areas of fo-
cus. This paper takes the relevant scientific papers in Web of Science database as the
research object, and analyzes the research trends with the help of bibliometrics. The
results show that the number of papers published in the world is on the rise. The
number of papers published in China and Iran is higher than that in other countries
and regions. However, the number of papers cited in the United States and Turkey is
higher than that in other countries or regions. Islamic Azad University is the largest.
The research topics focus on fuzzy sets, fuzzy logic, genetic algorithms and per-
formance evaluation. The research hotspots before 2011 included expert systems,
neuro-fuzzy systems, and pattern recognition. After 2011, the research hotspots be-
came neural networks, fuzzy sets, and machine learning.
Keywords: information and communication network, data processing system, on-
tology, model, analysis, scaling, class, relations.
INTRODUCTION
The fuzzy comprehensive evaluation method is gradually developed on the basis
of the fuzzy mathematics theory proposed by Zadeh in 1965 into a method for
comprehensive evaluation of difficult to define fuzzy targets [1]. The comprehen-
sive evaluation method is based on the membership degree theory of fuzzy math-
ematics. Qualitative evaluation is transformed into quantitative evaluation, that is,
using fuzzy mathematics to make an overall evaluation of things or objects re-
stricted by multiple factors. It has the characteristics of clear results and strong
systemic, can better solve the ambiguous, difficult and quantifiable problems, and
is suitable for solving various non-deterministic problems.
The application of the fuzzy comprehensive evaluation method in the field of
performance began in the 1980s. Lusk, EJ (1981) proposed a fuzzy method to
evaluate statistics of monitoring performance [2]. Deutsch, SJ et al. (1985) pro-
posed the use of fuzzy subsets to evaluate organizational performance indicators
[3]. Mon, DL et al. (1994) propose a general decision-making method for evaluat-
ing weapon systems using fuzzy AHP based on entropy weight [4]. Ishibuchi, H et al.
Analysis and review on fuzzy evaluation of the performance
Системні дослідження та інформаційні технології, 2021, № 3 87
(1999) discussed the performance evaluation of fuzzy classifier system for multi-
dimensional pattern classification problem [5]. Tsaur, SH et al. (2002) applies the
fuzzy set theory to evaluate the service quality of airline [6]. Chen, CT et al.
(2006) proposed a hierarchy multiple criteria decision-making (MCDM) model-
based oil fuzzy-sets theory to deal with the supplier selection problems in the
Supply chain system [7]. Kou, G et al. (2014) presents an MCDM-based approach
to rank a selection of popular clustering algorithms in the domain of financial risk
analysis [8]. Turskis, Z et al. (2017) proposed a new fuzzy hybrid multi-criteria
decision-making approach to solve personnel assessment problems [9]. Tseng,
ML, et al. (2018) proposed a generalized quantitative evaluation model based on
fuzzy Delphi method and analysis network process, which is used to consider the
interdependence between the metrics in the development and acquisition of sus-
tainable service supply chain management and the ambiguity of subjective met-
rics [10]. Lin, LK, et al. (2020) developed a novel hybrid fuzzy MCDM approach
to address this kind of MCDM problems in the fuzzy environment [11]. Based on
probability fuzzy theory and considering the uncertainty of chemical process,
Wang, YL, et al. (2021) proposed an optimization scheme of online operation per-
formance evaluation [12].
With the in-depth research in the field of fuzzy mathematics, fuzzy evalua-
tion has very meaningful applications in various fields. This research conducts a
bibliometric analysis of the application of fuzzy evaluation in performance evalu-
ation, reveals the research status and trends of fuzzy evaluation in performance
evaluation, and hopes to provide references for researchers and decision makers
in related fields.
Scientific papers are the main carriers of scientific research results, which
can represent the scientific scale and productivity of groups or regions. At pre-
sent, bibliometrics has been widely used in many disciplines, and it is one of the
most active and rapidly developing professional fields of Information Science
[13–14]. Using the method of bibliometrics, we can describe, evaluate and fore-
cast the research status and development trend of the application of the fuzzy
evaluation method in performance evaluation through mathematical and statistical
methods.
This research is aimed at integrating fuzzy logic mathematics methods and
bibliometrics for understanding research trends and scientific areas of focus.
The structure of the paper is the following: section 2 describes research chal-
lenges. Section 3 shows data and methods for research. In section 4 the results are
presented and discussed. Section 5 presents conclusions and plans for future
work.
PROBLEM DEFINITION
At present, fuzzy evaluation is widely used in performance evaluation, and bibli-
ometric method can effectively summarize the research results and reveal its fu-
ture development direction. Therefore, this paper introduces the method of bibli-
ometrics to explore the inherent relevance and potential hot spots of the existing
literature of fuzzy evaluation for performance evaluation, uses statistical and
mathematical methods to quantify various evaluation indicators, and describes the
nature and direction of its research. By clustering, analyzing and visualizing the
Junfeng Yu, Zijiang Yang, Jianping Guo, Larysa Globa
ISSN 1681–6048 System Research & Information Technologies, 2021, № 3 88
retrieved literature, the knowledge map is constructed to assist researchers to ex-
plore the research hotspots, evolution paths and development frontiers in related
fields. Bibliometric method is mainly based on quantitative analysis, and the re-
sults are more objective, which can provide some reference for researchers and
decision makers in related fields.
DATA AND METHODS
A. Data collection
We built our bibliometric collection on 13 February, 2021 based on the Science
Citation Index Expanded (SCI-E) and Social Sciences Citation Index (SSCI) da-
tabase in the “Web of Science Core Collection”. We chose SCI-E and SSCI as the
data source for two reasons. First, these two databases, the primary bibliographic
databases produced by Clarivate Analytics, provides comprehensive coverage of
the most important and influential research outputs from around the world. Sec-
ond, it includes detailed reference information, enabling us to trace the intellectual
development of our research. In this paper, fuzzy evaluation, performance and
other related words are used for subject retrieval, and the number of retrieval re-
cords is 9811.
B. Data analysis tools
VOSviewer, Microsoft Excel and Biblioshiny were used to perform data mining
(e.g. annual number of outputs, institutions outputs, keywords evolution and au-
thors), prepare figures, and visualize the data, respectively.
VOSviewer is a software tool for constructing and visualizing bibliometric
networks. These networks may for instance include journals, researchers, or
individual publications, and they can be constructed based on citation,
bibliographic coupling, co-citation, or co-authorship relations. VOSviewer also
offers text mining functionality that can be used to construct and visualize co-
occurrence networks of important terms extracted from a body of scientific
literature.
Biblioshiny is a shiny app providing a web-interface for bibliometrix. It
supports scholars in easy use of the main features of bibliometrix: data importing
and conversion to data frame collection, data gathering using Dimensions,
PubMed and Scopus APIs collection, data filtering, analytics and plots for three
different level metrics, analysis of three structures of knowledge.
RESULTS AND DISCUSSIONS
A. Temporal evolution of outputs
The annual output trend chart shows the development trend of the number of pa-
pers. Through the annual trend of the number of papers published, we can grasp
the changes of the heat of papers published in each period from the macro level.
The earliest study in the database was published in 1981. Before 1990, the num-
ber of papers published each year was less than 5. After 1991, it began to develop
slowly. After 2005, the number of papers published increased significantly. From
the average citation frequency in Fig. 1, there are two obvious peaks in 1991 and
2005. The number of citations increased significantly in the past two years, which
can obviously promote the development of the whole field.
Analysis and review on fuzzy evaluation of the performance
Системні дослідження та інформаційні технології, 2021, № 3 89
B. Region analysis
The regional analysis chart shows the distribution of documents in each country
or region. Through this analysis, we can understand the research and development
activities of the analysis objects in different countries, so as to find the main tech-
nology sources. As can be seen from Fig. 2, China has the largest number of pa-
pers, with 6229, more than twice as many as Iran, India and USA, which rank the
second, the third and the fourth. It can be seen from Table I that Denmark has the
most citations per article, reaching 70,08. China, Iran, and India, which have pub-
lished more articles, have average citations of 18,47, 18,04 and 14,43, which are
much lower than Denmark and Lithuania and USA.
T a b l e 1 . Average article citations(regions)
Regions Average Article Citations
USA 35,43
TURKEY 30,79
UNITED KINGDOM 26,74
SPAIN 25,06
CANADA 24,63
MALAYSIA 21,12
CHINA 18,47
IRAN 18,04
SOUTH KOREA 15,32
INDIA 14,43
Fig. 1. Temporal evolution of outputs
Regions
Fig. 2. Region ranking
Junfeng Yu, Zijiang Yang, Jianping Guo, Larysa Globa
ISSN 1681–6048 System Research & Information Technologies, 2021, № 3 90
C. Research areas analysis
“Web of Science Research Areas” is assigned by Clarivate Analytics, and is used
to classify the research papers. Each paper can be classified into at least one re-
search area by the Web of Science database. The research areas of the publica-
tions revealed the main subjects related to the increasing scientific productivity of
fuzzy evaluation in performance research. This research areas involves more than
100. The 10 most productive research areas were Engineering, Computer Science,
Environmental Sciences Ecology, Operations Research Management Science,
Science Technology Other Topics, Automation Control Systems, Telecommuni-
cations, Mathematics, Energy Fuels, Business Economics (Fig. 3).
It can be seen from Fig. 4 that the number of papers published by Engineer-
ing and Computer Science is significantly higher than that in other directions,
with more than 4500 papers published by Engineering and nearly 4000 papers
published by Computer Science. Environmental Sciences Ecology, Operations
Research Management Science, Science Technology Other Topics, Automation
Control Systems, Telecommunications, Mathematics, Energy Fuels, Business
Economics the number of papers published is 400–900. The publishing trend of
Engineering and Computer Science is basically exponential.
Fig. 3. Outputs of research areas (top 10)
Fig. 4. Temporal evolution of the two most productive research areas: 1 — Computer
Science; 2 — Enginering
2
1
Analysis and review on fuzzy evaluation of the performance
Системні дослідження та інформаційні технології, 2021, № 3 91
D. Organization Analysis
The paper output chart of major institutions shows the ranking of institutions
based on their publishing status. This analysis can identify institutions with more
research results, and further analyze their research strength based on this. From
Fig. 5, it can be seen that Islamic Azad University, with 344 articles, ranked sec-
ond and third respectively, with 205 and 200 articles. Other institutions are less
than 200. It can be seen from Table 2 that Hong Kong Polytechnic University,
University Technology Malaysia and University Malaya have not published many
articles, but their citations are all above 25. It can be seen that these three schools
have a certain degree of influence.
T a b l e 2 . Average citations per item (organizations)
Organizations Sum of Times Cited Averagecitationsperitem
HONG KONG POLYTECHNIC UNIVERSITY 4018 35,25
UNIVERSITI TEKNOLOGI MALAYSIA 3248 27,53
UNIVERSITI MALAYA 2600 26
INDIAN INSTITUTE OF TECHNOLOGY SYSTEM 4433 22,17
ISLAMIC AZAD UNIVERSITY 7584 22,05
UNIVERSITY OF TEHRAN 4173 20,31
CHINESE ACADEMY OF SCIENCES 1979 18,32
TON DUC THANG UNIVERSITY 1681 18,08
AMIRKABIR UNIVERSITY OF TECHNOLOGY 1409 15,83
NATIONAL INSTITUTE OF TECHNOLOGY
NIT SYSTEM 2418 14,57
Fig. 6 and 7 show the cooperation of major global institutions that use fuzzy
evaluation in the field of performance evaluation. Through the cooperation net-
work of institutions, it can be seen that Islamic Azad University is currently the
core institution of research in this field, and it has related research cooperation
with many universities, research institutes or enterprises around the world.
Outputs
Fig. 5. Organization ranking (top 10)
Junfeng Yu, Zijiang Yang, Jianping Guo, Larysa Globa
ISSN 1681–6048 System Research & Information Technologies, 2021, № 3 92
E. Research focus and hot spot
Keywords provide important information about research trends, frontiers, and re-
veal research fields [15–16]. Table 3 shows the 20 most frequent words, among
Fig. 6. Global organization Cooperation Network
a
b
с
Fig. 7. Islamic Azad University cooperation network (a); Chinese Academy of Sciences
cooperation network (b); Hong Kong Polytechic University cooperation network (c)
Analysis and review on fuzzy evaluation of the performance
Системні дослідження та інформаційні технології, 2021, № 3 93
which the frequency of fuzzy logic reached 811 words. The scientific research in
Fig. 8 shows the changes in research hotspots. The research hotspots before 2011
included expert system, neuro-fuzzy system, and pattern recognition. After 2011,
the research hotspots became neural network, fuzzy sets, and machine learning.
Fig. 9 shows the thematic map, the horizontal axis represents centrality, and
the vertical axis represents density. The meanings of the four quadrants are as fol-
lows:
the first quadrant (upper right corner): motor themes, both important and
well developed;
the second quadrant (upper left corner): highly developed and isolated
themes, which have been well developed, but are not important to the current
field;
the third quadrant (lower left corner): emerging or declining themes, edge
themes, there is no good development, may have just emerged, or may be about to
disappear;
the fourth quadrant (lower right corner): basic and transversal themes,
which are very important to the field, but have not been well developed. Gener-
ally, refers to basic concepts.
Fig. 9 shows that the subject of “fuzzy logic” belongs to basic research, and
“genetic algorithm” and “classification” belong to well-developed and very im-
portant research field.
T a b l e 3 . The TOP 20 most frequent keywords
No Keywords Frequency
1 fuzzy logic 811
2 anfis 260
3 fuzzy sets 224
4 performance evaluation 207
5 fuzzy sett heory 181
6 topsis 178
7 genetic algorithm 163
8 fuzzy control 146
9 classification 135
10 fuzzy 133
11 neural networks 129
12 artificial neural network 120
13 sustainability 115
14 uncertainty 114
15 clustering 112
16 ahp 111
17 fuzzyinferencesystem 111
18 fuzzyclustering 110
19 optimization 110
20 Particles warm optimization 106
Junfeng Yu, Zijiang Yang, Jianping Guo, Larysa Globa
ISSN 1681–6048 System Research & Information Technologies, 2021, № 3 94
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Analysis and review on fuzzy evaluation of the performance
Системні дослідження та інформаційні технології, 2021, № 3 95
F. Results and analysis
The number of papers published in the world is on the rise. The number of papers
published in China and Iran is higher than that in other countries and regions.
However, the number of papers cited in the United States and Turkey is higher
than that in other countries or regions. Islamic Azad University is the largest. The
research topics focus on fuzzy sets, fuzzy logic, genetic algorithm and perform-
ance evaluation. The research hotspots before 2011 included expert system,
neuro-fuzzy system, and pattern recognition. After 2011, the research hotspots
became neural network, fuzzy sets, and machine learning.
CONCLUSIONS
Based on Bibliometric software, this paper systematically analyzes the research
papers published in SCI-E and SSCI databases about fuzzy evaluation for per-
formance evaluation, summarizes the trend of papers, the research situation of
research institutions and regions, and research hotspots, etc.
We presented a comprehensive overview of the fuzzy evaluation in the per-
formance research field based on the bibliometric analysis. This method is mainly
based on published outputs and their citations.
1. This study has designed more than 100 research areas, and only the two
fields of engineering and computer science are developing fastest. In the future,
more attention should be paid to the cross-development of other areas.
2. There are needed to pay attention to international cooperation, especially
organizations with a high volume of articles and high frequency of citations.
Niche
Themes
Motor Themes
Emerging
Declining
Themes
Basic Themes
Fig. 9. Thematic map
Junfeng Yu, Zijiang Yang, Jianping Guo, Larysa Globa
ISSN 1681–6048 System Research & Information Technologies, 2021, № 3 96
3. On the basis of attaching importance to basic research on “fuzzy logic”,
there is needed to pay more attention to the development of “genetic algorithm”
and “classification”.
To some extent, the hot spots and trends of this research are influenced by
the key words, database and clustering algorithm.
There are still many areas to be improved in this study, especially in the cita-
tion network analysis, which will be further studied in order to provide better de-
cision-making reference for relevant personnel in the field.
Acknowledgment
This work was supported by Qilu University of Technology (Shandong Academy
of Sciences) science, education and industry integration pilot project (Integrated
technology service cloud platform, No. 2020KJC-ZD16).
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Received 04.08.2021
INFORMATION ON THE ARTICLE
Junfeng Yu, ORCID: 0000-0003-0011-5206, PhD of National Technical University of
Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Researcher of Information Research
Institute of Shandong Academy of Sciences, Qilu University of Technology (Shandong
Academic of Sciences) Jinan, China, yujf@sdas.org.
Zijiang Yang, ORCID: 0000-0001-6966-548X, Institute of Automation Shandong Acad-
emy of Sciences, Qilu University of Technology (Shandong Academic of Sciences),
China, e-mail: yangzj@sdas.org
Jianping Guo, ORCID: 0000-0001-6012-1195, Research Assistant of Information Re-
search Institute of Shandong Academy of Sciences, Qilu University of Technology (Shan-
dong Academic of Sciences), China, e-mail: guojp@sdas.org
Larysa Globa, ORCID: 0000-0003-3231-3012, Professor of National Technical Univer-
sity of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine, e-mail: lgloba@its.kpi.ua
АНАЛІЗ І ОГЛЯД НЕЧІТКОЇ ОЦІНКИ ДІЯЛЬНОСТІ / Ц. Юй, Ц. Ян, Ц. Го,
Л. Глоба
Анотація. У сучасних умовах всебічний аналіз тенденцій розвитку людської
діяльності в різних галузях і оцінювання їх ефективності дедалі більше потре-
бують аналізу даних, нагромаджених у численних документах, що
зберігаються в глобальній мережі. Аналіз засновано на річних звітах про
напрями досліджень, часових тенденціях, ключових словах і має певні
особливості: потребує не завжди точної числової інформації, порівняння
якісних показників, отримання як якісних, так і кількісних характеристик, а
також використання довідкової інформації для дослідників і осіб, які
приймають рішення в суміжних галузях. У зв’язку з цим в останні роки
нечітку оцінку, що ґрунтується на нечіткій математиці, дедалі частіше викори-
стовують у різноманітних видах оцінювання ефективності багатьох видів
діяльності. Проведено бібліометричне дослідження на основі системи роз-
ширеного індексу наукового цитування (SCI-E) і нечітких критеріїв
ефективності для вивчення тенденції розвитку та напрямів дослідження. Як
об’єкт дослідження використано відповідні наукові статті з бази даних Web of
Science, а тенденції досліджень проаналізовано за допомогою методу
бібліометрії. Результати показують, що кількість статей, які публікуються в
світі, збільшується. Статей, опублікованих в Китаї та Ірані, більше, ніж в
інших країнах і регіонах світу. Утім кількість цитованих робіт в США і
Туреччині більша, ніж в інших країнах або регіонах світу. Ісламський
університет Азад опублікував найбільшу кількість статей у світі. Теми
дослідження зосереджені на нечітких множинах, нечіткій логіці, генетичному
алгоритмі та оцінці продуктивності. «Гарячими» напрямами досліджень до
2011 р. були експертні системи, нейронечіткі системи і розпізнавання
образів, а після 2011 р. стали нейронні мережі, нечіткі множини і машинне
навчання.
Junfeng Yu, Zijiang Yang, Jianping Guo, Larysa Globa
ISSN 1681–6048 System Research & Information Technologies, 2021, № 3 98
Ключові слова: інформаційно-комунікаційна мережа, система оброблення
даних, онтологія, модель,аналіз, масштабування, клас, відношення.
АНАЛИЗ И ОБЗОР НЕЧЕТКОЙ ОЦЕНКИ ДЕЯТЕЛЬНОСТИ / Ц. Юй, Ц. Ян,
Ц. Го, Л. Глоба
Аннотация. В современных условиях всесторонний анализ тенденций разви-
тия человеческой деятельности в различных сферах и их эффективности все
больше требуют анализа данных, накопленных в многочисленных документах,
хранящихся в глобальной сети. Анализ основан на годовых отчетах о направ-
лениях исследований, временных тенденциях, ключевых словах, и имеет опре-
деленные особенности: требует не всегда точной числовой информации, срав-
нения качественных показателей, получения как качественных, так и
количественных характеристик, а также использования справочной информа-
ции для исследователей и лиц, принимающих решения в смежных областях. В
связи с этим в последние годы нечеткая оценка, основанная на нечеткой мате-
матике, все чаще используется во всех видах оценивания эффективности раз-
личных видов деятельности. Проведено библиометрическое исследование на
основе системы расширенного индекса научного цитирования (SCI-E) и нечет-
ких критерий эффективности для изучения тенденции развития и направлений
исследования. В качестве объекта исследования использованы соответствую-
щие научные статьи из базы данных Web of Science, а тенденции исследований
проанализированы с помощью метода библиометрии. Результаты показывают,
что количество статей, публикуемых в мире, увеличивается. Статей, опубли-
кованных в Китае и Иране, больше, чем в других странах и регионах мира. В
то же время, количество цитируемых работ в США и Турции, больше, чем в
других странах или регионах мира. Исламский университет Азад опубликовал
наибольшее количество статей в мире. Темы исследования сосредоточены на
нечетких множествах, нечеткой логике, генетическом алгоритме и оценке про-
изводительности. «Горячими» направлениями исследований до 2011 г. были
экспертные системы, нейронечеткие системы и распознавание образов, а после
2011 г. стали нейронные сети, нечеткие множества и машинное обучение.
Ключевые слова: информационно-коммуникационная сеть, система обработ-
ки данных, онтология, модель, анализ, масштабирование, класс, отношения.
|
| id | journaliasakpiua-article-244554 |
| institution | System research and information technologies |
| keywords_txt_mv | keywords |
| language | English |
| last_indexed | 2025-07-17T10:27:34Z |
| publishDate | 2021 |
| publisher | The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" |
| record_format | ojs |
| resource_txt_mv | journaliasakpiua/4c/09c881d9efcc5aac683fabee53efbc4c.pdf |
| spelling | journaliasakpiua-article-2445542022-02-09T17:33:09Z Analysis and review on fuzzy evaluation of the performance Анализ и обзор нечеткой оценки деятельности Аналіз і огляд нечіткої оцінки діяльності Yu, Junfeng Yang, Zijiang Guo, Jianping Globa, Larysa information and communication network data processing system ontology model analysis scaling class relations інформаційно-комунікаційна мережа система оброблення даних онтологія модель аналіз масштабування клас відношення информационно-коммуникационная сеть система обработки данных онтология модель анализ масштабирование класс In modern conditions a comprehensive analysis of development trends and their effectiveness in various areas of human activity increasingly requires the analysis of data accumulated in numerous documents stored on the global network. Such an analysis is based on annual results in many areas of research, time trends and keywords. This analysis has certain peculiarities: it requires an analysis of not always accurate numerical information, comparison of qualitative indicators, obtaining both qualitative and quantitative characteristics, as well as the use of reference information for researchers and decision makers in related fields. In this regard, in recent years, a fuzzy assessment based on fuzzy mathematics is increasingly used in all types of assessing the effectiveness of various activities. The paper deals with conducting a bibliometric study based on the Extended Science Citation Index (SCI-E) and fuzzy performance measures to understand research trends and areas of focus. This paper takes the relevant scientific papers in Web of Science database as the research object, and analyzes the research trends with the help of bibliometrics. The results show that the number of papers published in the world is on the rise. The number of papers published in China and Iran is higher than that in other countries and regions. However, the number of papers cited in the United States and Turkey is higher than that in other countries or regions. Islamic Azad University is the largest. The research topics focus on fuzzy sets, fuzzy logic, genetic algorithms and performance evaluation. The research hotspots before 2011 included expert systems, neuro-fuzzy systems, and pattern recognition. After 2011, the research hotspots became neural networks, fuzzy sets, and machine learning. В современных условиях всесторонний анализ тенденций развития человеческой деятельности в различных сферах и их эффективности все больше требуют анализа данных, накопленных в многочисленных документах, хранящихся в глобальной сети. Анализ основан на годовых отчетах о направлениях исследований, временных тенденциях, ключевых словах, и имеет определенные особенности: требует не всегда точной числовой информации, сравнения качественных показателей, получения как качественных, так и количественных характеристик, а также использования справочной информации для исследователей и лиц, принимающих решения в смежных областях. В связи с этим в последние годы нечеткая оценка, основанная на нечеткой математике, все чаще используется во всех видах оценивания эффективности различных видов деятельности. Проведено библиометрическое исследование на основе системы расширенного индекса научного цитирования (SCI-E) и нечетких критерий эффективности для изучения тенденции развития и направлений исследования. В качестве объекта исследования использованы соответствующие научные статьи из базы данных Web of Science, а тенденции исследований проанализированы с помощью метода библиометрии. Результаты показывают, что количество статей, публикуемых в мире, увеличивается. Статей, опубликованных в Китае и Иране, больше, чем в других странах и регионах мира. В то же время, количество цитируемых работ в США и Турции, больше, чем в других странах или регионах мира. Исламский университет Азад опубликовал наибольшее количество статей в мире. Темы исследования сосредоточены на нечетких множествах, нечеткой логике, генетическом алгоритме и оценке производительности. "Горячими" направлениями исследований до 2011 г. были экспертные системы, нейронечеткие системы и распознавание образов, а после 2011 г. стали нейронные сети, нечеткие множества и машинное обучение. У сучасних умовах всебічний аналіз тенденцій розвитку людської діяльності в різних галузях і оцінювання їх ефективності дедалі більше потребують аналізу даних, нагромаджених у численних документах, що зберігаються в глобальній мережі. Аналіз засновано на річних звітах про напрями досліджень, часових тенденціях, ключових словах і має певні особливості: потребує не завжди точної числової інформації, порівняння якісних показників, отримання як якісних, так і кількісних характеристик, а також використання довідкової інформації для дослідників і осіб, які приймають рішення в суміжних галузях. У зв’язку з цим в останні роки нечітку оцінку, що ґрунтується на нечіткій математиці, дедалі частіше використовують у різноманітних видах оцінювання ефективності багатьох видів діяльності. Проведено бібліометричне дослідження на основі системи розширеного індексу наукового цитування (SCI-E) і нечітких критеріїв ефективності для вивчення тенденції розвитку та напрямів дослідження. Як об’єкт дослідження використано відповідні наукові статті з бази даних Web of Science, а тенденції досліджень проаналізовано за допомогою методу бібліометрії. Результати показують, що кількість статей, які публікуються в світі, збільшується. Статей, опублікованих в Китаї та Ірані, більше, ніж в інших країнах і регіонах світу. Утім кількість цитованих робіт в США і Туреччині більша, ніж в інших країнах або регіонах світу. Ісламський університет Азад опублікував найбільшу кількість статей у світі. Теми дослідження зосереджені на нечітких множинах, нечіткій логіці, генетичному алгоритмі та оцінці продуктивності. "Гарячими" напрямами досліджень до 2011 р. були експертні системи, нейронечіткі системи і розпізнавання образів, а після 2011 р. стали нейронні мережі, нечіткі множини і машинне навчання. The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2021-09-30 Article Article application/pdf https://journal.iasa.kpi.ua/article/view/244554 10.20535/SRIT.2308-8893.2021.3.07 System research and information technologies; No. 3 (2021); 86-98 Системные исследования и информационные технологии; № 3 (2021); 86-98 Системні дослідження та інформаційні технології; № 3 (2021); 86-98 2308-8893 1681-6048 en https://journal.iasa.kpi.ua/article/view/244554/242395 |
| spellingShingle | інформаційно-комунікаційна мережа система оброблення даних онтологія модель аналіз масштабування клас відношення Yu, Junfeng Yang, Zijiang Guo, Jianping Globa, Larysa Аналіз і огляд нечіткої оцінки діяльності |
| title | Аналіз і огляд нечіткої оцінки діяльності |
| title_alt | Analysis and review on fuzzy evaluation of the performance Анализ и обзор нечеткой оценки деятельности |
| title_full | Аналіз і огляд нечіткої оцінки діяльності |
| title_fullStr | Аналіз і огляд нечіткої оцінки діяльності |
| title_full_unstemmed | Аналіз і огляд нечіткої оцінки діяльності |
| title_short | Аналіз і огляд нечіткої оцінки діяльності |
| title_sort | аналіз і огляд нечіткої оцінки діяльності |
| topic | інформаційно-комунікаційна мережа система оброблення даних онтологія модель аналіз масштабування клас відношення |
| topic_facet | information and communication network data processing system ontology model analysis scaling class relations інформаційно-комунікаційна мережа система оброблення даних онтологія модель аналіз масштабування клас відношення информационно-коммуникационная сеть система обработки данных онтология модель анализ масштабирование класс |
| url | https://journal.iasa.kpi.ua/article/view/244554 |
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