Linguistic summarization of fuzzy social and economic networks: an application on the international trade network

Genç, Serkan; Akay, Diyar; Boran, Fatih Emre; Yager, Ronald R.

doi:10.1007/s00500-019-03982-9

Cited by 20 publications

(4 citation statements)

References 83 publications

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“…"Most private-university students find 3D design more comfortable" [0.85] is a sample for this protoform where "private-university" is the qualifier 12 . A set of labels is also created for qualifiers 68 .…”

Section: Type-2 Quantified Sentencementioning

confidence: 99%

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Neurocognitive Responses to Spatial Design Behaviors and Tools Among Interior Architecture Students: A Pilot Study

Şekerci,

Kahraman,

Kaya

et al. 2023

Preprint

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The impact of emotions on human behavior is substantial, and the ability to recognize people's feelings has a wide range of practical applications including education. Here, the methods and tools of education are being calibrated according to the data gained over electroencephalogram (EEG) signals. The issue of which design tools would be ideal in the future of interior architecture education, is an uncertain field. It is important to measure the students’ emotional states while using manual and digital design tools to determine the different impacts. Brain-computer interfaces have made it possible to monitor emotional states in a way that is both convenient and economical. In the research of emotion recognition, EEG signals have been employed, and the resulting literature explains basic emotions as well as complicated scenarios that are created from the combination of numerous basic emotions. Linguistic summarization is a technique that can assist in extracting knowledge from huge volumes of data by identifying pre-defined structures and expressing them in a concise manner. The purpose of this research is to investigate the attachment and emotional states of interior architecture students while they are designing in 2D or 3D with manual or digital tools, as well as to investigate differences in the use of design tools and behaviors that are based on teaching methodologies. The study produced summaries of the data using a fuzzy sets-based linguistic summarization technique, and it explained the findings in daily natural language that is easy to understand without expert.

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Section: Type-2 Quantified Sentencementioning

confidence: 99%

“…Qualifiers, which enrich the summaries by adding detail, are modeled on the basis of fuzzy sets, like summaries and quantifiers, and the membership degrees of the data are extracted according to the labels. TD of the summaries in the Type-2 quantifier protoform is calculated as in Eq.8 67,68 ;…”

Section: Type-2 Quantified Sentencementioning

confidence: 99%

Neurocognitive Responses to Spatial Design Behaviors and Tools Among Interior Architecture Students: A Pilot Study

Şekerci,

Kahraman,

Kaya

et al. 2023

Preprint

Self Cite

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show abstract

“…Fuzzy sets have been proven successful to linguistically summarise numerical data and extract knowledge from large datasets in various domains, improving comprehension, e.g., [24,9,30] or prediction performance, e.g., [16]. The primary advantage of fuzzy linguistic summaries is their human-consistency.…”

Section: Fuzzy Linguistic Summariesmentioning

confidence: 99%

Explaining the relation between life expectancy and income inequality with fuzzy linguistic summaries

Rutkowska,

Kaczmarek-Majer,

Bartkowiak

et al. 2023

Preprint

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Life expectancy is an essential indicator of economic development and health status. However, the related databases describing the overall life expectancy are relatively large and created under conditions of uncertainty, particularly regarding adjustments related to redistributing deaths of unknown age or splitting data into finer age categories. In parallel, comprehension of general trends related to the life expectancy indicator is a crucial topic from the perspective of both the private and public sectors. It supports long-term decision-making about social policies. The key question addressed in this study is the relation between life expectancy and income inequality. Fuzzy linguistic summarization is applied to explore the inequity measured with the Gini coefficient and life expectancy. We show that the outcomes of this intelligent linguistic analysis reveal new information that complements the traditional correlation analysis. The fuzzy summarization approach enables capturing and explaining, in a human-consistent way, the relations between the considered indicators. The experimental results are presented for yearly data from 24 European countries observed from 1995 to 2021. The results are promising and show the usefulness of the linguistic summarization approach for explaining the relation between life expectancy and income inequality. In particular, although the length of life varies according to gender, the relationship between life expectancy and inequality follows a similar pattern for females and males. The relationship may seem intuitive, but previous research does not confirm it unequivocally. Furthermore, our study shows a level of inequality for which changes in income distribution do not significantly impact life expectancy. JEL Classification: C0 , J1

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“…One of the most important goals of any country is to develop and improve its economic conditions. Improving and stabilizing economic conditions guarantees the life of each country and has a significant impact on the quality of life for people of that society (Goldstein and Khan 1985 ; Genç et al 2020 ). One of the best ways to achieve this target is utilizing foreign trade.…”

Section: Introductionmentioning

confidence: 99%

Applying the Delphi and fuzzy DEMATEL methods for identification and prioritization of the variables affecting Iranian citrus exports to Russia

2022

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Foreign trade is one of the important components in economic development and a source of foreign exchange earnings. In Iran, the government desires to develop foreign trade with a focus on non-oil exports. One of the substantial non-oil products is agricultural products. Iran is one of the top ten countries in the world in terms of producing agricultural products, especially citrus, but it does not have suitable conditions in terms of exports. Mazandaran province is a considerable source of citrus production in Iran, and the main produced citrus in the province is exported to Russia. Worth bearing in mind that although the production rate of citrus in the province is very well, the amount of export is not very appropriate. Therefore, the government struggles to adopt an appropriate approach to improve the conditions and taking the right approach is not possible without identifying the variables affecting exports. In this regard, in this study, first, the variables affecting citrus exports regarding the case are determined using literature review and the most related those to the case study are selected using the Delphi method. Then, the identified variables are ranked using the fuzzy DEMATEL method. Focusing on the results, it can be observed that “exchange rate fluctuation” and “marketing” have the most and the least impact on the development of citrus exports from the province to Russia, respectively. Moreover, to better analyze the gained results, the determined variables are divided into two main categories based on stages of trade, and each category’s variables are discussed in detail.

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Linguistic summarization of fuzzy social and economic networks: an application on the international trade network

Cited by 20 publications

References 83 publications

Neurocognitive Responses to Spatial Design Behaviors and Tools Among Interior Architecture Students: A Pilot Study

Neurocognitive Responses to Spatial Design Behaviors and Tools Among Interior Architecture Students: A Pilot Study

Explaining the relation between life expectancy and income inequality with fuzzy linguistic summaries

Applying the Delphi and fuzzy DEMATEL methods for identification and prioritization of the variables affecting Iranian citrus exports to Russia

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