QUALE ®: A new Toolbox for Quantitative and Qualitative Analysis of Human Perceptions

Alonso, José M.; Pancho, David P.; Magdalena, Luis; Nunez, Daniel A.; Sánchez, Daniel; Suárez, Pablo; Mingot, Jose; Iglesias, Valentín

doi:10.2991/ifsa-eusflat-15.2015.94

Cited by 2 publications

(2 citation statements)

References 37 publications

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“…Related work has been conducted into developing a 'Fuzzy Graphic Rating Scale' (FRS) [32] to capture 'fuzzified' questionnaire responses [33]- [35]. By comparison with this, and other possible mechanisms of obtaining interval-valued data, e.g.…”

Section: Why Ellipses?mentioning

confidence: 99%

DECSYS – Discrete and Ellipse-based response Capture SYStem

Ellerby

McCulloch

Young³

et al. 2019

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Data-driven techniques that capture uncertainty through intervals or fuzzy sets can substantially improve systematic reasoning about uncertain information. Recent years have seen renewed interest in the capture of intervals from a variety of sources -including experts and general survey participants. This approach avoids the more cumbersome batteries of questions that are otherwise required to capture individual uncertainty, and which may not obtain the same degree of fidelity. It also enables respondents to effectively communicate any range (e.g. vagueness) inherent in their response, allowing generation of models that represent this additional information. However, manual methods of obtaining and processing interval-valued data -such as through paper-based questionnaires, are labour and time intensive. This has provided a practical barrier to adoption of interval-valued response-formats in the wider community, from research to industry (e.g. marketing). We argue that establishing an effective and accessible method for interval-valued datacapture will greatly encourage research in and application of uncertainty-aware models of data. Thus, we present DECSYS, a newly developed open-source software tool, which enables the creation and administration of digital surveys that elicit both conventional and interval-valued responses. DECSYS incorporates a range of features, and is designed to maximise versatility for experimenters and usability for participants. Surveys can be conducted either locally or online, and results easily exported. We welcome community feedback, including on how to best tailor the tool in the future to maximise value and support multidisciplinary adoption of uncertainty-aware data collection.

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Section: Why Ellipses?mentioning

confidence: 99%

DECSYS – Discrete and Ellipse-based response Capture SYStem

Ellerby

McCulloch

Young³

et al. 2019

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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show abstract

“…Monetary limitations constrained the quantity and quality of the labeled, packaging elements, and communication campaigns. The interested reader can get detailed information at 36 .…”

Section: Descriptive Surveymentioning

confidence: 99%

Descriptive and Comparative Analysis of Human Perceptions expressed through Fuzzy Rating Scale-based Questionnaires

Quirós¹,

Alonso²,

Pancho³

2016

IJCIS

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Opinion surveys are widely admitted as a valuable source of information which becomes complementary to the information extracted from data by machine learning techniques. This paper focuses on a challenging and still open problem which is related to how to handle properly the inherent uncertainty of human perceptions. Namely, we propose new ways to interpret and analyze fuzzy data coming out from a special case of survey, the so-called fuzzy rating scale-based questionnaire. This kind of questionnaire is characterized by allowing expressing human perceptions in terms of fuzzy rating scales. The proposed methods are in charge of capturing and modeling the uncertainty of the answers by varying the heights of the related fuzzy sets. These methods have been validated in two case studies: (1) a descriptive survey related to the packaging design of gin bottles; and (2) a comparative survey related to 2015 IFSA-EUSFLAT conference.

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QUALE ®: A new Toolbox for Quantitative and Qualitative Analysis of Human Perceptions

Cited by 2 publications

References 37 publications

DECSYS – Discrete and Ellipse-based response Capture SYStem

DECSYS – Discrete and Ellipse-based response Capture SYStem

Descriptive and Comparative Analysis of Human Perceptions expressed through Fuzzy Rating Scale-based Questionnaires

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