Using Visual Concepts

Rohr, Gabriele

doi:10.1007/978-1-4613-1805-7_14

Cited by 16 publications

(3 citation statements)

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“…0043-1397/90/90 WR-00843 $05.00 most concepts are better represented and manipulated visually. However, highly abstract concepts are too complex to be expressed visually and should be represented linguistically [Rohr, 1986]. Several decision support systems using pictorial, linguistic, and numerical representations have been developed in recent years (see, for instance, Sawaragi eta!.…”

Section: Foundationsmentioning

confidence: 99%

“…of words change or if they are context-dependent (i.e., "light" can be used in a physical or metaphorical sense), validation of models based on linguistic entities and values is difficult. While these linguistic variable values may not be very precisely defined, abstract concepts are often best expressed linguistically [Rohr, 1986]. Linguistic entities also can be used whenever there is no need for precision or no adequate quantitative data are available.…”

Section: Linguistic Entities Assume Linguistic Values If the Meaningmentioning

confidence: 99%

“…Thus reality, which is usually described qualitatively by pictures and words, has been mapped into numerical representations. In this paper we explore how spatial!y related objects can be represented and manipulated visually and how abstract concepts can be represented using natural language [Rohr, 1986].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multidimensional simulation applied to water resources management

Câmara¹,

Ferreira²,

Loucks³

et al. 1990

Water Resources Research

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A framework for an integrated decision aiding simulation (IDEAS) methodology using numerical, linguistic, and pictorial entities and operations is introduced. IDEAS relies upon traditional numerical formulations, logical rules to handle linguistic entities with linguistic values, and a set of pictorial operations. Pictorial entities are defined by their shape, size, color, and position. Pictorial operators include reproduction (copy of a pictorial entity), mutation (expansion, rotation, translation, change in color), fertile encounters (intersection, reunion), and sterile encounters (absorption). Interaction between numerical, linguistic, and pictorial entities is handled through logical rules or a simplified vector calculus operation. This approach is shown to be applicable to various environmental and water resources management analyses using a model to assess the impacts of an oil spill. Future developments, including IDEAS implementation on parallel processing machines, are also discussed.

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Section: Foundationsmentioning

confidence: 99%

Section: Linguistic Entities Assume Linguistic Values If the Meaningmentioning

confidence: 99%