# Concept approximations based on rough sets and similarity measures

International Journal of Applied Mathematics and Computer Science (2001)

- Volume: 11, Issue: 3, page 655-674
- ISSN: 1641-876X

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topSaquer, Jamil, and Deogun, Jitender. "Concept approximations based on rough sets and similarity measures." International Journal of Applied Mathematics and Computer Science 11.3 (2001): 655-674. <http://eudml.org/doc/207525>.

@article{Saquer2001,

abstract = {The formal concept analysis gives a mathematical definition of a formal concept. However, in many real-life applications, the problem under investigation cannot be described by formal concepts. Such concepts are called the non-definable concepts (Saquer and Deogun, 2000a). The process of finding formal concepts that best describe non-definable concepts is called the concept approximation. In this paper, we present two different approaches to the concept approximation. The first approach is based on rough set theory while the other is based on a similarity measure. We present algorithms for the two approaches.},

author = {Saquer, Jamil, Deogun, Jitender},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {concept approximation; similarity measures; rough sets; formal concept analysis},

language = {eng},

number = {3},

pages = {655-674},

title = {Concept approximations based on rough sets and similarity measures},

url = {http://eudml.org/doc/207525},

volume = {11},

year = {2001},

}

TY - JOUR

AU - Saquer, Jamil

AU - Deogun, Jitender

TI - Concept approximations based on rough sets and similarity measures

JO - International Journal of Applied Mathematics and Computer Science

PY - 2001

VL - 11

IS - 3

SP - 655

EP - 674

AB - The formal concept analysis gives a mathematical definition of a formal concept. However, in many real-life applications, the problem under investigation cannot be described by formal concepts. Such concepts are called the non-definable concepts (Saquer and Deogun, 2000a). The process of finding formal concepts that best describe non-definable concepts is called the concept approximation. In this paper, we present two different approaches to the concept approximation. The first approach is based on rough set theory while the other is based on a similarity measure. We present algorithms for the two approaches.

LA - eng

KW - concept approximation; similarity measures; rough sets; formal concept analysis

UR - http://eudml.org/doc/207525

ER -

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