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

Quirós, Pelayo; Alonso, José M.; Pancho, David P.

doi:10.1080/18756891.2016.1175811

Cited by 18 publications

(13 citation statements)

References 34 publications

(29 reference statements)

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“…Examples of products for which studies have measured customer preferences using fuzzy logic‐based methods include cars and pizzas (Türkşen & Willson, 1994), weapon systems (Cheng & Mon, 1994; Cheng & Lin, 2002), office chairs (J. Park & Han, 2004), mobile phones (Lin, Lai, & Yeh, 2007), USB flash drives (J. R. Chou, 2016), packaging design of gin bottles (Quirós, Alonso, & Pancho, 2016), and snack foods (Solanke, Jaybhaye, & Jadhav, 2018).…”

Section: Alternative Approaches To Scaling Sensory Attributesmentioning

confidence: 99%

Developing a Labeled Affective Magnitude scale and Fuzzy Linguistic scale for tactile feeling

Akay

Duran

et al. 2020

Hum Ftrs & Erg Mfg Svc

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Affective design is the inclusion or representation of human emotions and subjective impressions in product design processes. In affective design, a number of different scales are commonly used to reveal and measure subjective emotions related to the design features of products. Osgood's Semantic Differential Scale (SDS) is one of the scales that has often been used for this purpose. However, there are some drawbacks in the SDS due to the ordinal nature of the scale that leads to losses or distortions of a significant amount of information and this makes it difficult to justify parametric statistical analysis. In this study, two scales, namely a Labeled Affective Magnitude (LAM) scale and a Fuzzy Linguistic scale, are developed. The LAM scale is an alternative scale based on magnitude estimation and has ratio properties. The Fuzzy Linguistic scale is an interval scale for which responses are

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Section: Alternative Approaches To Scaling Sensory Attributesmentioning

confidence: 99%

Developing a Labeled Affective Magnitude scale and Fuzzy Linguistic scale for tactile feeling

Akay

Duran

et al. 2020

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…However, it cannot be achieved by using a natural language (Sowa, 2013). To manage these disadvantages there is an alternate approach utilizing fuzzy numbers which takes into account that the nature of most attributes related to evaluations, judgements involve subjectivity and certain imprecision (Lubiano et al, 2016;Quirós et al, 2016). Fuzzy numbers can deal with a challenging problem which is related to how to handle properly the inherent uncertainty of human perceptions.…”

Section: Conclusion and Managerial Implicationsmentioning

confidence: 99%

Developing a Service Quality Framework for a Special Type of Course

Surman

Tóth

2019

Period. Polytech. Soc. Man. Sci.

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This paper addresses the issue of service quality measurement and evaluation in higher education and stresses the need to develop sound measures for special types of courses. During these courses students carry out project works under special circumstances and with special characteristics compared to "ordinary" courses where traditional course evaluation methods have been applied for a long time. The primary aim of the paper is to support the need to develop valid, reliable and replicable measures of service quality in case of these courses. Therefore, a questionnaire was designed for these courses to collect students' perceptions. The results are reported by using an importance-performance analysis supplemented by the draw of statistical conclusions. The presented methodology allows the identification of importance-performance gaps and supports the assessment of quality improvement programs.

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“…However, it cannot be achieved by using a natural language (Sowa, 2013). To manage these disadvantages there is an alternate approach which takes into account that the nature of most attributes related to evaluations, judgements involve subjectivity and certain imprecision (Lubiano et al, 2016;Quirós, Alonso, & Pancho, 2016). Hesketh, Pryor, Gleitzman, and Hesketh (1988) proposed the fuzzy rating scale without raters being constrained to choose among a few pre-specified categories.…”

Section: Literature Review: Traditional Rating Vs Fuzzy Ratingmentioning

confidence: 99%

Applying a fuzzy questionnaire in a peer review process

Jónás

Tóth

Árva

2018

Total Quality Management & Business Excellence

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This paper introduces the application and the results of a fuzzy number based questionnaire used for evaluating lecturers' performance in a newly launched peer review programme in order to enhance the reliability of peer evaluations. In our approach, the membership function of the fuzzy number is composed of an increasing and a decreasing sigmoid membership function conjuncted by Dombi's intersection operator. Compared to the traditional Likert scale-based evaluation, the proposed fuzzy number based methodology allows peer reviewers to express their uncertainty and the variability of the reviewed lecturer's performance within a single lecture and during a semester in a quantitative way. By utilising the principles of Dombi's Pliant Arithmetic, fuzzy Likert scale based evaluations given by peer reviewers can be cumulated by aggregating the parameters of the left-and right-hand sides of the fuzzy numbers separately. This property results in a much simpler statistical analysis of the gathered data than the methods previously proposed in the literature. A demonstrative case study illustrates our main contributions in peer evaluation.

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

Cited by 18 publications

References 34 publications

Developing a Labeled Affective Magnitude scale and Fuzzy Linguistic scale for tactile feeling

Developing a Labeled Affective Magnitude scale and Fuzzy Linguistic scale for tactile feeling

Developing a Service Quality Framework for a Special Type of Course

Applying a fuzzy questionnaire in a peer review process

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