Results 11 to 20 of about 1,235,954 (283)

Autonomous clustering using rough set theory [PDF]

, 2008
This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
A. K. Jain, A. K. Jain, A. Skowron, B. J. F. Manly, B. S. Everitt, C. L. Bean, C. L. Bean, Chandra Kambhampati, Charlotte Bean, D. Dubois, E. W. Forgey, F. H. C. Marriott, F. Höppner, G. H. Ball, J. A. Hartigan, J. B. MacQueen, J. C. Bezdek, J. C. Dunn, J. H. Ward, J. Komorowski, J. S. R. Jang, M. R. Anderberg, M. S. Aldenderfer, M. S. Kamel, P. Sneath, R. C. Jancey, R. R. Sokal, R. R. Yegar, S. Sharma, S. Z. Selim, T. Okuzaki, T. Sorensen, Z. Pawlak, Z. Pawlak   +33 more
core   +1 more source

Fermatean neutrosophic rough set [PDF]

Computational Algorithms and Numerical Dimensions
In order to balance uncertainty, a reasonable approximation of a crisp set that yields lower as well as upper approximations of the set is made. Here, first, a special class of Fermatean Neutrosophic Set is devised by associating the Neutrosophic Set ...
S Bhuvaneshwari, C Antony Crispin Sweety, R Sumathi   +2 more
doaj   +1 more source

Rough Neutrosophic Sets

Neutrosophic Sets and Systems, 2013
Both neutrosophic sets theory and rough sets theory are emerging as powerful tool for managing uncertainty, indeterminate, incomplete and imprecise information. In this paper we develop an hybrid structure called rough neutrosophic sets and studied their properties.
Mamoni Dhar, Florentin Smarandache, Said Broumi   +2 more
openaire   +3 more sources

New neighborhood based rough sets [PDF]

, 2015
Neighborhood based rough sets are important generalizations of the classical rough sets of Pawlak, as neighborhood operators generalize equivalence classes.
I Couso, JA Pomykala, M Restrepo, M Restrepo, T Yang, W Zhu, W Zhu, W Żakowski, YY Yao, YY Yao, Z Bonikowski, Z Pawlak   +11 more
core   +1 more source

Computing fuzzy rough approximations in large scale information systems [PDF]

, 2014
Rough set theory is a popular and powerful machine learning tool. It is especially suitable for dealing with information systems that exhibit inconsistencies, i.e. objects that have the same values for the conditional attributes but a different value for
Asfoor, Hasan, Cornelis, Chris, De Cock, Martine, Srinivasan, Rajagopalan, Teredesai, Ankur, Tolentino, Matthew, Vasudevan, Gayathri, Verbiest, Nele   +7 more
core   +1 more source

The Upper and Lower Approximations in Rough Subgroupoid of a Groupoid

Moroccan Journal of Pure and Applied Analysis, 2018
In this article, we introduce the concept of rough subgroupoid of a groupoid as a generalization of a rough subgroup and give some features about the lower and the upper approximations in a groupoid [1]. We give some of the characterization of them.
Tasbozan H., Icen I.
doaj   +1 more source

The use of rough rules in the selection of topographic objects for generalizing geographical information

Polish Cartographical Review, 2020
Selection is a key element of the cartographic generalisation process, often being its first stage. On the other hand it is a component of other generalisation operators, such as simplification.
Fiedukowicz Anna
doaj   +1 more source

Rough Standard Neutrosophic Sets: An Application on Standard Neutrosophic Information Systems [PDF]

Neutrosophic Sets and Systems, 2016
A rough fuzzy set is the result of the approximation of a fuzzy set with respect to a crisp approximation space. It is a mathematical tool for the knowledge discovery in the fuzzy information systems.
Nguyen Xuan Thao, Bui Cong Cuong, Florentin Smarandache   +2 more
doaj   +1 more source

Rough Neutrosophic Sets [PDF]

Neutrosophic Sets and Systems, 2014
Both neutrosophic sets theory and rough sets theory are emerging as powerful tool for managing uncertainty, indeterminate, incomplete and imprecise information.
Said Broumi, Florentin Smarandache, Mamoni Dhar   +2 more
doaj  

Pythagorean fuzzy soft rough sets and their applications in decision-making

Journal of Taibah University for Science, 2020
This paper aims to originate two new notions that are soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set, and investigate some important properties of soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set in detail ...
Azmat Hussain, Muhammad Irfan Ali, Tahir Mahmood   +2 more
doaj   +1 more source