Rough Sets for Uncertainty Reasoning

Wong, S. K. M.; Butz, Cory J.

doi:10.1007/3-540-45554-x_63

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…-It is normally represented in software models using different ways, including Fuzzy set theory, manyvalued logics (with unknown values), interval arithmetic, discrete random variables or fuzzy numbers (denoting collections of possible values and their associated probabilities), or by means of rough sets [231].…”

Section: Types Of Uncertaintymentioning

confidence: 99%

Uncertainty representation in software models: a survey

et al. 2021

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This paper provides a comprehensive overview and analysis of research work on how uncertainty is currently represented in software models. The survey presents the definitions and current research status of different proposals for addressing uncertainty modeling, and introduces a classification framework that allows to compare and classify existing proposals, analyse their current status and identify new trends. In addition, we discuss possible future research directions, opportunities and challenges.A fundamental characteristic of software models is their ability to represent the relevant characteristics of the system under study, at the appropriate level of abstraction. Software models were initially conceived to design and develop general Information Technology (IT) systems, such as financial applications, enterprise databases or component-based systems, and have proven to be excellent artefacts for representing the basic structure and

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Section: Types Of Uncertaintymentioning

confidence: 99%

Uncertainty representation in software models: a survey

et al. 2021

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“…Rough sets theory was proposed by Z.Pawlak, a Polish mathematician, based on the boundary region raised by Gottlob Frege. Rough sets theory is a new discipline based on statistics and a mathematical tool to solve uncertain and imprecise problems, which can effectively analyze and deal with imprecise, incomplete and even inconsistent information [1]. The theory has been widely applied in computer database construction.…”

Section: Introductionmentioning

confidence: 99%