Results 261 to 270 of about 12,229,200 (313)

Fuzzy sets, rough sets and vague sets

2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), 2010
Fuzzy sets, rough sets and vague sets are all the extension of classical sets theory. They extend the application of set theory to vague and uncertain problem. This paper introduced the ideas of fuzzy set, rough set and vague set and discusses the differences and relationship between them. The development and application of the three theories were also
null Qing Shen, null Yunliang Jiang
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Vaguely Quantified Rough Sets

2007
The hybridization of rough sets and fuzzy sets has focused on creating an end product that extends both contributing computing paradigms in a conservative way. As a result, the hybrid theory inherits their respective strengths, but also exhibits some weaknesses.
Chris Cornelis, Martine De Cock, Anna Maria Radzikowska   +2 more
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Vague soft set relations and functions

Journal of Intelligent & Fuzzy Systems, 2015
Molodtsov introduced the theory of soft sets as a generalized tool for modelling complex systems involving uncertain or not clearly defined objects. In this paper the concepts of vague soft set relations are introduced as a sub-vague soft set of the Cartesian product of the vague soft sets and related concepts such as equivalent vague soft set relation,
Khaleed Alhazaymeh, Nasruddin Hassan
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Stratified Rough Sets and Vagueness

2003
The relationship between less detailed and more detailed versions of data is one of the major issues in processing geographic information. Fundamental to much work in model-oriented generalization, also called semantic generalization, is the notion of an equivalence relation.
Thomas Bittner, John G. Stell
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An introduction to vague complemented ordered sets

Information Sciences, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mustafa Demirci, Zeynep Eken
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Vagueness — A rough set view

1997
Vagueness for a long time has been studied by philosophers, logicians and linguists. Recently researchers interested in AI contributed essentially to this area.
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Vague Sets and Closure Systems

2013
Just in time learning is a very important issue in any rapidly changing society. Initially well defined projects are often forced to introduce changes requiring current team members to learn new skills or alternatively find new people ready to step in.
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An Integrated Interval-Valued Intuitionistic Fuzzy Vague Set and Their Linguistic Variables

International Journal of Fuzzy Systems, 2021
Norsyahida Zulkifli, L. Abdullah, Harish Garg   +2 more
semanticscholar   +1 more source

Managing Service Reputation with Vague Sets

2012 IEEE Ninth International Conference on e-Business Engineering, 2012
By guaranteeing the requested Quality of Service (QoS), service providers can enhance consumer satisfaction and improve the service reputation as a result. However, non-functional QoS attributes such as consumer satisfaction and service reputation are not easily measured due to their complexity and the vagueness and imprecision inherent in the human ...
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Rough Sets and Higher Order Vagueness

2005
We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in searching for concept approximation is emphasized. Boundary regions of approximated concepts within the adaptive learning framework are satisfying the higher order vagueness condition, i.
Andrzej Skowron, Roman W. Swiniarski
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