Results 101 to 110 of about 185,811 (251)

Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems

, 2006
In this paper, we present the concept of fuzzy information granule based on a relatively weaker fuzzy similarity relation called fuzzy TL-similarity relation for the first time.
Li, Hongxing, Chen, Degang, Liu, Min, Wu, Cheng   +3 more
core   +1 more source

Classification of artificial intelligence tools for civil engineering under the notion of complex fuzzy rough Frank aggregation operators

Scientific Reports
In recent days researchers have tried to handle the maximum information and use those techniques and methods in which there is no chance of data loss or loss of information is minimum. The structure like fuzzy set and complex fussy set cannot discuss the
Walid Emam, Jabbar Ahmmad, Tahir Mahmood, Ubaid ur Rehman, Shi Yin   +4 more
doaj   +1 more source

Intuitionistic Fuzzy Neighborhood Rough Set Model for Feature Selection

, 2018
Feature selection is one of the widely used pre-processing techniques to deal with large data sets. In this context, rough set theory has been successfully implemented for feature selection of discrete data set but in case of continuous data set it ...
Anoop Kumar Tiwari, Tanmoy Som, Shivam Shreevastava   +2 more
core   +1 more source

Properties of rough fuzzy prime ideals in Γ rings [PDF]

Songklanakarin Journal of Science and Technology (SJST)
Rough Set (RS) theory is a useful mathematical strategy to handle uncertainty. In 1982, Pawlak presented the idea, and numerous authors have undertaken in-depth studies on RS in both ordinary cases and fuzzy situations. In terms of both the theoretical
Durgadevi P., Ezhilmaran Devarasan
doaj  

A Fast Feature Selection Algorithm by Accelerating Computation of Fuzzy Rough Set-Based Information Entropy. [PDF]

Entropy (Basel), 2018
Zhang X, Liu X, Yang Y.
europepmc   +1 more source

Fuzzy rules reduction using rough set approach

, 2003
This paper presents the use of Rough Set approach to compute reducts and generate concise fuzzy rules from a fuzzy rule base system of a student model.
Hamdan, Abdul Razak, Yusof, Norazah
core  

Generalized roughness of three dimensional ( $$\in ,\in \vee q$$ ∈ , ∈ ∨ q )-fuzzy ideals in terms of set-valued homomorphism

Scientific Reports
The objective of this study is to generalize the roughness of a fuzzy set-in three-dimensional structure by introducing ternary multiplication. Many results and theorems of rough fuzzy ideals have been extended from semigroup and semiring, to ternary ...
Shahida Bashir, Rabia Mazhar, Nasreen Kausar, Saziye Yaman, Syed Suleman Ali, Muneeb Ul Hassan Afzal   +5 more
doaj   +1 more source

Improve neuro-fuzzy learning by attribute reduction

, 2010
[[abstract]]Neuro-fuzzy learning is a combination of neural networks and fuzzy systems to learn fuzzy rules from examples. One of the popular tools for neuro-fuzzy learning is the Adaptive Network based Fuzzy Inference Systems (ANFIS) introduced by Jang.
Chang, Fengming M. ; Chan, Chien-Chung
core  

Rough Mereology

, 1994
. We show how to organize a collection of intelligent cooperating agents into a rough mereological controller for the purpose of assembling a complex object with desired quality from its elementary parts.
Lech Polkowski, Andrzej Skowron, Rough Mereology   +2 more
core  

Uma abordagem difusa para o problema de flow-shop scheduling [PDF]

, 1999
Tese (Doutorado) - Universidade Federal de Santa Catarina, Centro ...
Cury, Ricardo Martins
core