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Fuzzy Rough Set Based Technique for User Specific Information Retrieval: A Case Study on Wikipedia Data

Int. J. Rough Sets Data Anal., 2018
Information retrieval is widely used due to extremely large volume of text and image data available on the web and consequently, efficient retrieval is required.
Nidhika Yadav, N. Chatterjee
semanticscholar   +1 more source

Probabilistic fuzzy rough sets

Journal of Intelligent & Fuzzy Systems, 2015
We extend the fuzzy rough set as probabilistic fuzzy rough set (PFRS) on a fuzzy probabilistic approximation space. The proposed PFRS models both vague and uncertain information at the same time. The viability of PFRS in decision making is illustrated through a case study.
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Fuzzy Rough Set-Based Sentence Similarity Measure and its Application to Text Summarization

IETE Technical Review, 2018
Fuzzy Rough Sets are designed for decision-making with uncertainty, imprecision, and incompleteness in data. We propose to use Fuzzy Rough Sets for the task of sentence similarity-based Text Summarization.
N. Chatterjee, Nidhika Yadav
semanticscholar   +1 more source

Fuzzy sets and rough sets

2003
Fuzzy Sets and Hyperstructures introduced by Zadeh, in 1965, and by Marty, in 1934, respectively, are now used in the world both on the theoreticaI point of view and for their many applications. The Rough Sets considered for the first time by Shafer in 1976, have been reintroduced in the international scientific circle by Pawlak, in 1991 especially in ...
Piergiulio Corsini, Violeta Leoreanu
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Fuzzy rough sets, fuzzy preorders and fuzzy topologies

Fuzzy Sets and Systems, 2013
This paper shows that observations made by different authors at different times regarding one-to-one correspondence between the family of fuzzy preorders on a nonempty set and the family of all fuzzy topologies on this set satisfying certain extra conditions are essentially equivalent.
S. P. Tiwari, Arun K. Srivastava
openaire   +1 more source

Probability granular distance-based fuzzy rough set model

Applied Soft Computing, 2021
S. An, Qinghua Hu, Changzhong Wang
semanticscholar   +1 more source

Dynamic interaction feature selection based on fuzzy rough set

Information Sciences, 2021
Jihong Wan   +4 more
semanticscholar   +1 more source

GENUINE SETS, VARIOUS KINDS OF FUZZY SETS AND FUZZY ROUGH SETS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003
In this paper, deriving the type-m fuzzy sets, intuitionistic fuzzy sets, Φ-fuzzy sets, rough sets, fuzzy rough sets and rough fuzzy sets as particular genuine sets, and establishing their connections with genuine sets, it is demonstrated that the theory of genuine sets provides a powerful tool to model various different kinds of uncertainty in a ...
openaire   +2 more sources

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