Results 71 to 80 of about 185,811 (251)

On rough sets induced by fuzzy relations approach in semigroups

Open Mathematics, 2018
In this paper, we introduce a rough set in a universal set based on cores of successor classes with respect to level in a closed unit interval under a fuzzy relation, and some interesting properties are investigated.
Prasertpong Rukchart, Siripitukdet Manoj
doaj   +1 more source

Distance and closeness measures in information spaces

, 2006
Obiettivo della tesi è fornire strumenti teorici per il trattamento di informazione “incompleta”. Ciò viene fatto, da un lato, in un ambito metrico, definendo misure di “distanza” tra oggetti, dall’altro definendo nozioni suggerite dalla logica a più ...
Coppola, Cristina
core  

Characterization of rough set approximations in Atanassov intuitionistic fuzzy set theory

, 2011
The primitive notions in rough set theory are lower and upper approximation operators defined by a fixed binary relation and satisfying many interesting properties. Many types of generalized rough set models have been proposed in the literature.
Wu, Wei-Zhi, Wei-Zhi Wu, Zhou, Lei, Lei Zhou   +3 more
core   +1 more source

Neutrosophic Soft Rough Graphs with Application

Axioms, 2018
Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy sets (IFs) fail to handle indeterminate information. Soft set theory, neutrosophic set theory, and rough set theory are different mathematical models for
Muhammad Akram, Hafsa M. Malik, Sundas Shahzadi, Florentin Smarandache   +3 more
doaj   +1 more source

Rough Set-Based Neuro-Fuzzy System

, 2009
Neuro-fuzzy hybridization is the oldest and most popular methodology in soft computing (Mitra & Hayashi, 2000). Neuro-fuzzy hybridization is known as Fuzzy Neural Networks, or Neuro-Fuzzy Systems (NFS) in the literature (Lin & Lee, 1996; Mitra ...
Kai Keng Ang, Chai Quek
core   +1 more source

Energy supplier selection by TOPSIS method based on multi-attribute decision-making by using novel idea of complex fuzzy rough information

Energy Strategy Reviews
Energy Supplier Selection is vital for sustainable energy management. Optimal supplier choices reduce environmental impact and promote resource efficiency per green principles.
Amir Hussain, Kifayat Ullah, Tapan Senapati, Sarbast Moslem   +3 more
doaj   +1 more source

Heterogeneous multigranulation fuzzy rough set-based multiple attribute group decision making with heterogeneous preference information

Computers & industrial engineering, 2018
This study proposes a heterogeneous attribute multigranulation fuzzy rough set approach to the problem of multiple attribute group decision-making (MAGDM) under uncertainty.
B. Sun, Weimin Ma, Xiangtang Chen, Xiaonan Li   +3 more
semanticscholar   +1 more source

Situation Element Extraction Based on Fuzzy Rough Set and Combination Classifier. [PDF]

Comput Intell Neurosci, 2022
Zhao D, Wang H, Wu Y.
europepmc   +1 more source

Rough set-based neuro-fuzzy system.

, 2008
Neuro-fuzzy systems is a popular hybridization in soft computing that abstracts a fuzzy model from given numerical examples using neural learning techniques to formulate accurate predictions on unseen samples.
Ang, Kai Keng.
core   +1 more source

Coverage-Based Variable Precision (I, PSO)-Fuzzy Rough Sets with Applications to Emergency Decision-Making

International Journal of Computational Intelligence Systems
Considering the characteristics of imprecise, incomplete and fuzzy data in emergency environment, a novel emergency decision-making method based on coverage-based variable precision (I, PSO)-fuzzy rough set model is proposed.
Ran Yin, Minge Chen, Jian Wu, Yu Liu
doaj   +1 more source