Measurability

Rossi, Giovanni Battista

doi:10.1016/j.measurement.2007.02.003

Cited by 66 publications

(32 citation statements)

References 18 publications

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“…However, as the aim of this paper is to propose operational processing for expert dam assessment, we will not study the concept of degradation "measurability" [31][32], but consider that a small group of experts agrees on a commensurate meaning of dam degradation scores.…”

Section: Dam Characteristicsmentioning

confidence: 99%

A dam assessment support system based on physical measurements, sensory evaluations and expert judgements

Curt¹,

Talon²,

Mauris

2011

Measurement

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In engineering system control, human beings can play various key roles, in particular concerning measurement, global assessment and decision. This paper focuses on methods that allow the representation and aggregation of heterogeneous data (sensory evaluations, physical measurements, outputs of mathematical models, etc.) used in a global dam assessment process.It is acknowledged that in such complex systems many of the variables involved are evaluated with uncertainty. We propose a possibility theory-based approach to deal with all the different uncertain pieces of information and propagate them in aggregation models for global dam assessment. Finally, decision-making and communication applications relating to dam safety are presented.

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Section: Dam Characteristicsmentioning

confidence: 99%

A dam assessment support system based on physical measurements, sensory evaluations and expert judgements

Curt¹,

Talon²,

Mauris

2011

Measurement

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“…The use of neural networks (Ishihara, Ishihara, Nagamachi and Matsubara, 1995), fuzzy logic (Hotta and Hagiwara 2005), and rough set theory (Nagamachi 2008) have been proposed to overcome problems of nonlinearity in data. These approaches, however, lack metrological rules such as traceability and variance control (Rossi 2007), and therefore remain ones of analysis of a particular sample without allowing results to be compared. Because of the difficulty in comparing outcomes of studies, many of the things manufacturers would like to know are difficult to quantify, such as comparisons of the preferences of different market segments, or evaluations of products over time.…”

Section: Introductionmentioning

confidence: 99%

Beyond usability: designing for consumers' product experience using the Rasch model

Camargo

Henson

2015

Journal of Engineering Design

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Many manufacturers wish to relate the physical properties of their products to customers' affective responses so that they can improve the design of their products. Rasch measurement theory is a novel approach in this context that could offer business benefits over other approaches. The aim of the research was to determine whether Rasch measurement theory can support the construction of a scale to measure the affective impression of a moisturizer cream elicited by the compliance of the moisturizer's packaging. The compliances of packaging used to develop a scale for the impression of the contents of the packaging in previous research were measured. New packaging prototypes were manufactured with a range of compliances to determine whether affective responses to them could be predicted. A new sample of sixty seven participants rated the prototypes against Likert statements on a five-point scale. The statements were derived from descriptions of the users' product experience. The scale was recalibrated using a multi-facet Rasch model. It was found that the affective responses to the prototypes fell within the range predicted by the original scale. The results demonstrate that Rasch measurement theory can be used to achieve the objective correspondence between affective responses and the physical properties of a product, and the information can be used in new product development.

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“…The modern theory of measurability began with the analytical foundations laid in a paper by Helmholtz [2]. As noted by Rossi [1], Helmholtz's principal idea was that measurement entailed the measurement of characteristics, analogous to counting, requiring measured values to satisfy two conditions:…”

Section: Introductionmentioning

confidence: 99%