Results 51 to 60 of about 1,458,480 (298)

A logic for rough sets

Theoretical Computer Science, 1997
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openaire   +3 more sources

Fuzzy Equivalence on Standard and Rough Neutrosophic Sets and Applications to Clustering Analysis [PDF]

, 2018
In this paper, we propose the concept of fuzzy equivalence on standard neutrosophic sets and rough standard neutrosophic sets. We also provide some formulas for fuzzy equivalence on standard neutrosophic sets and rough standard neutrosophic sets. We also
Luong Hong Lan, Thao, Nguyen Xuan, Nguyen Xuan Thao, Bui Cong Cuong, Ali, Mumtaz, Le Hoang Son, Son, Le Hoang, Mumtaz Ali, Lan, Luong Hong, Cuong, Bui Cong   +9 more
core   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Rough sets and knowledge technology: proceedings of the 4th International Conference on Rough Sets and Knowledge Technology

, 2009
The main theme of the RSKT conference is to explore the synergy between rough sets and advanced knowledge technology and applications, including knowledge discovery, data mining, knowledge processing and management, granular computing, evolutionary ...

core   +1 more source

Kernel Neighborhood Rough Sets Model and Its Application

Complexity, 2018
Rough set theory has been successfully applied to many fields, such as data mining, pattern recognition, and machine learning. Kernel rough sets and neighborhood rough sets are two important models that differ in terms of granulation.
Kai Zeng, Siyuan Jing
doaj   +1 more source

Multigranulation rough set: A multiset based strategy

International Journal of Computational Intelligence Systems, 2017
A simple multigranulation rough set approach is to approximate the target through a family of binary relations. Optimistic and pessimistic multigranulation rough sets are two typical examples of such approach.
Xibei Yang, Suping Xu, Huili Dou, Xiaoning Song, Hualong Yu, Jingyu Yang   +5 more
doaj   +1 more source

A Logic Programming Framework for Rough Sets

, 2002
We propose a framework for defining and reasoning about rough sets based on definite extended logic programs. Moreover, we introduce a rough-set-specific query language. Several motivating examples are also presented.
Vitoria, Aida,, Jan Maflluszyński, Maluszynski, Jan,, Aida Vitória   +3 more
core   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Qualitative Analysis of Software Engineering Data Using Rough Sets

, 2022
S.292-299 : Ill., Lit.Software measurement is an essential device to better understand, control, and improve quality within software development. Goal-oriented measurement approach is focusing on a top-down approach starting with the goal and its ...
Ruhe, G.
core   +1 more source

Matrix-Based Approaches for Updating Approximations in Multigranulation Rough Set While Adding and Deleting Attributes

International Journal of Computational Intelligence Systems
With advanced technology in medicine and biology, data sets containing information could be huge and complex that sometimes are difficult to handle. Dynamic computing is an efficient approach to solve some problems. Since multigranulation rough sets were
Peiqiu Yu, Jinjin Li, Hongkun Wang, Guoping Lin   +3 more
doaj   +1 more source