Likert Scale-Based Evaluations with Flexible Fuzzy Numbers

Dombi, József; Jónás, Tamás

doi:10.1007/978-3-030-51949-0_5

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…Based on Numbeo, this linguistic scale contains five values: "Very Low", "Low", "Moderate", "High", and "Very High". These linguistic values are symmetrical, whose center value is neutral (i.e., "Moderate") [83][84][85]. They can be modeled by fuzzy triangular labels, as shown in Figure 2.…”

Section: Methodsmentioning

confidence: 99%

Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo

et al. 2022

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In economic development, in addition to comparing the gross domestic product (GDP) between nations, it is critical to assess the quality of life to gain a holistic perspective of their different aspects. However, the quality of life index (QOLI) is a subjective term that can be difficult to quantify. Although this composite index is typically calculated using universal weights proposed by experts to aggregate indicators, such as safety indexes, healthcare indexes, pollution indexes, and housing indicators, it is complicated to balance multiple dimensions whose weights are adjusted to account for different countries’ circumstances. Therefore, this paper aims to construct various scenarios of the QOLI, using linguistic quantifiers of the ordered weighted averaging (OWA) operator, and the 2-tuple linguistic model. Numbeo, one of the largest quality of life information databases, was used in this paper to estimate the QOLI in 85 countries. Uncertainty and sensitivity analyses were employed to assess the robustness of the QOLI. The results of the proposed model are compared with those obtained using the Numbeo formulation. The results show that the proposed model increases the linguistic interpretability of the QOLI, and obtains different QOLIs, based on diverse country contexts.

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Section: Methodsmentioning

confidence: 99%

Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo

et al. 2022

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Fuzzy SERVQUAL to Measure the Service Quality of Tutoring Institutions: A Systematic Literature Review Using PRISMA

Krisnawati,

Ekawati,

Abdurachman

2023

E3S Web Conf.

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It is essential to gauge service quality in order to grow the business as the service sector in the field of education, one of which is a tutoring institution, develops. This study aims to conduct a comprehensive investigation of the instruments used to rate the level of service provided by educational institutions utilizing the PRISMA and SLR (Systematic Literature Review) methods. It can be used to improve strategy development, measure customer satisfaction, and develop service standards in the education industry. The nine databases chosen for content analysis were ScienceDirect, Springer Link, EmeraldInsight, Researchgate, IEEE, academia, Sagepub, IEOMSociety, and Taylor & Francis. This review includes only journal publications and English studies. This study covers the years 2018 to 2022. The 21 papers selected relate to the measurement of service quality in educational institutions. The findings from this review indicate that SERVQUAL, along with instruments such as FuzzyAHP, Fuzzy DEA, IPA, and Topdim’s Fuzzy Era, are the most frequently used instruments. This study will assist researchers in collecting accurate data regarding various instruments used to evaluate the level of service provided by educational institutions. It will also assist the reader in tutoring about different instruments used in different regions of the world.

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The factors affecting rural residents’ willingness to burden-share costs of local infrastructure supply in developing countries: evidence from China

Jiang,

Fan,

Martek

et al. 2023

Journal of the Asia Pacific Economy

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Likert Scale-Based Evaluations with Flexible Fuzzy Numbers

Cited by 4 publications

References 19 publications

Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo

Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo

Fuzzy SERVQUAL to Measure the Service Quality of Tutoring Institutions: A Systematic Literature Review Using PRISMA

The factors affecting rural residents’ willingness to burden-share costs of local infrastructure supply in developing countries: evidence from China

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