Analyzing data from a fuzzy rating scale-based questionnaire: a case study

MÁ Gil Álvarez, MA Lubiano Gómez, S Rosa de Sáa… - Psicothema, 2015 - digibuo.uniovi.es
Background: The fuzzy rating scale was introduced to cope with the imprecision of human
thought and experience in measuring attitudes in many fields of Psychology. The flexibility …

[HTML][HTML] Fuzzy segmentation of postmodern tourists

P D'Urso, M Disegna, R Massari, L Osti - Tourism Management, 2016 - Elsevier
In postmodern tourism, the experiences of each tourist could not be summarized only
through a unique perspective but multiple and disjointed perspectives are necessary. The …

Fuzzy rating scale-based questionnaires and their statistical analysis

SR de Sáa, MÁ Gil… - … on Fuzzy Systems, 2014 - ieeexplore.ieee.org
The fuzzy rating method has been introduced in psychometric studies as a tool, which allows
the capture of and accurate reflection of the diversity, subjectivity, and imprecision inherent …

Fuzzy sets in data analysis: From statistical foundations to machine learning

I Couso, C Borgelt, E Hullermeier… - IEEE Computational …, 2019 - ieeexplore.ieee.org
Basic ideas and formal concepts from fuzzy sets and fuzzy logic have been used
successfully in various branches of science and engineering. This paper elaborates on the …

Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale?

MA Lubiano, SR de Sáa, M Montenegro, B Sinova… - Information …, 2016 - Elsevier
In evaluating aspects like quality perception, satisfaction or attitude which are intrinsically
imprecise, the fuzzy rating scale has been introduced as a psychometric tool that allows …

Data fusion: theory, methods, and applications

M Gagolewski - arxiv preprint arxiv:2208.01644, 2022 - arxiv.org
A proper fusion of complex data is of interest to many researchers in diverse fields, including
computational statistics, computational geometry, bioinformatics, machine learning, pattern …

A coupled random fuzzy two-stage programming model for crop area optimization—A case study of the middle Heihe River basin, China

M Li, P Guo - Agricultural Water Management, 2015 - Elsevier
Crop area optimization is essential for agricultural water management. However, decision
makers are challenged by the complexity of fluctuating stream condition and irrigation quota …

Analyzing the influence of the rating scale for items in a questionnaire on cronbach coefficient alpha

MA Lubiano, M Montenegro… - Trends in Mathematical …, 2022 - Springer
Questionnaires are widely used in many different fields, especially in connection with human
rating. Different rating scales are considered in questionnaires to base the response to their …

[HTML][HTML] Statistical depth for fuzzy sets

L González-De La Fuente, A Nieto-Reyes… - Fuzzy Sets and …, 2022 - Elsevier
Statistical depth functions provide a way to order the elements of a space by their centrality
in a probability distribution. That has been very successful for generalizing non-parametric …

Bagged fuzzy clustering for fuzzy data: An application to a tourism market

P D'Urso, M Disegna, R Massari, G Prayag - Knowledge-Based Systems, 2015 - Elsevier
Segmentation has several strategic and tactical implications in marketing products and
services. Despite hard clustering methods having several weaknesses, they remain widely …