Results 31 to 40 of about 8,185,214 (318)

New Rough Set Approximation Spaces

Abstract and Applied Analysis, 2013
Rough set theory was introduced by Pawlak in 1982 to handle imprecision, vagueness, and uncertainty in data analysis. Our aim is to generalize rough set theory by introducing concepts of -lower and -upper approximations which depends on the concept of ...
H. M. Abu-Donia
doaj   +1 more source

Spherical Fuzzy Soft Rough Average Aggregation Operators and Their Applications to Multi-Criteria Decision Making

IEEE Access, 2022
The objective of this article is to explore and generalize the notions of soft set and rough set along with spherical fuzzy set and to introduce the novel concept called spherical fuzzy soft rough set that is free from all those complications faced by ...
Leina Zheng, Tahir Mahmood, Jabbar Ahmmad, Ubaid Ur Rehman, Shouzhen Zeng   +4 more
doaj   +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

Information completeness in Nelson algebras of rough sets induced by quasiorders

, 2012
In this paper, we give an algebraic completeness theorem for constructive logic with strong negation in terms of finite rough set-based Nelson algebras determined by quasiorders. We show how for a quasiorder $R$, its rough set-based Nelson algebra can be
A. Sendlewski, A.H. Stone, D. Nelson, D. Vakarelov, D.M. Gabbay, G. Kreisel, H. Rasiowa, J. Barwise, J. Järvinen, J. Järvinen, J.-Y. Girard, Jouni Järvinen, P. Miglioli, P. Miglioli, P. Pagliani, P. Pagliani, P. Pagliani, Piero Pagliani, R. Cignoli, S. Vickers, Sándor Radeleczki, T.S. Blyth, Z. Pawlak   +22 more
core   +1 more source

Constructing a Hoop Using Rough Filters

Bulletin of the Section of Logic, 2022
When it comes to making decisions in vague problems, rough is one of the best tools to help analyzers. So based on rough and hoop concepts, two kinds of approximations (Lower and Upper) for filters in hoops are defined, and then some properties of them ...
Rajab Ali Borzooei, Elham Babaei
doaj   +1 more source

Brain Image Segmentation Based on FCM Clustering Algorithm and Rough Set

IEEE Access, 2019
In this paper, a new image segmentation method is proposed by combining the FCM clustering algorithm with a rough set theory. First, the attribute value table is constructed based on the segmentation results of FCM under different clustering numbers, and
Hong Huang, Fanzhi Meng, Shaohua Zhou, Feng Jiang, Gunasekaran Manogaran   +4 more
semanticscholar   +1 more source

Feasibility and Safety of High‐Dose Proton Re‐Irradiation in Recurrent Pediatric Central Nervous System Tumors: A Single‐Institution Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song, Jonathan Baron, Carlos Chavez Perez, Sidharth Ramesh, Jane Minturn, Kavita A. Desai, Amish C. Shah, Jean M. Belasco, Kristina A. Cole, Michael J. Fisher, Phillip B. Storm, Peter M. Madsen, Goldie Kurtz, Robert A. Lustig, Christine Hill‐Kayser, Michael J. LaRiviere   +15 more
wiley   +1 more source

Rough set theory and its applications

Journal of Telecommunications and Information Technology, 2002
In this paper rudiments of the theory will be outlined, and basic concepts of the theory will be illustrated by a simple tutorial example, concerning churn modeling in telecommunications.
Zdzisław Pawlak
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

More on neutrosophic soft rough sets and its modification [PDF]

Neutrosophic Sets and Systems, 2015
This paper aims to introduce and discuss anew mathematical tool for dealing with uncertainties, which is a combination of neutrosophic sets, soft sets and rough sets, namely neutrosophic soft rough set model. Also, its modification is introduced. Some of
Emad Marei
doaj