Results 31 to 40 of about 118,969 (321)

Some geometrical methods for constructing contradiction measures on Atanassov's intuitionistic fuzzy sets [PDF]

open access: yes, 2011
Trillas et al. (1999, Soft computing, 3 (4), 197–199) and Trillas and Cubillo (1999, On non-contradictory input/output couples in Zadeh's CRI proceeding, 28–32) introduced the study of contradiction in the framework of fuzzy logic because of the ...
Blyth T.   +12 more
core   +2 more sources

The Soft Sets and Fuzzy Sets-Based Neural Networks and Application

open access: yesIEEE Access, 2020
This paper reviews and compares theories of fuzzy sets and soft sets from the perspective of transformation, and a machine learning model-SF-ANN (the soft sets and fuzzy sets based artificial neural network) is proposed. Liu et al.
Zhicai Liu   +3 more
doaj   +1 more source

On Weak and Strong Forms of Fuzzy Soft Open Sets

open access: yesFuzzy Information and Engineering, 2016
We introduce and examined some basic properties of fuzzy soft α-open (closed) sets in fuzzy soft topological spaces. Fuzzy soft pre-open (closed) sets are also defined and discussed.
Sabir Hussain
doaj   +1 more source

Graph ambiguity [PDF]

open access: yes, 2013
In this paper, we propose a rigorous way to define the concept of ambiguity in the domain of graphs. In past studies, the classical definition of ambiguity has been derived starting from fuzzy set and fuzzy information theories.
LIVI, LORENZO, RIZZI, Antonello
core   +1 more source

The application of ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]

open access: yes, 2014
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Abdulshahed   +35 more
core   +1 more source

Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making

open access: yesJournal of Applied Mathematics, 2014
Molodtsov’s soft set theory is a newly emerging mathematical tool to handle uncertainty. However, the classical soft sets are not appropriate to deal with imprecise and fuzzy parameters. This paper aims to extend the classical soft sets to hesitant fuzzy
Fuqiang Wang, Xihua Li, Xiaohong Chen
doaj   +1 more source

A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE [PDF]

open access: yes, 2012
A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users.
Atayero, A. A., Luka, M. K.
core   +1 more source

Adaptive inferential sensors based on evolving fuzzy models [PDF]

open access: yes, 2010
A new technique to the design and use of inferential sensors in the process industry is proposed in this paper, which is based on the recently introduced concept of evolving fuzzy models (EFMs). They address the challenge that the modern process industry
Angelov, Plamen, Kordon, Arthur
core   +1 more source

A comprehensive study of implicator-conjunctor based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis [PDF]

open access: yes, 2015
© 2014 Elsevier B.V. Both rough and fuzzy set theories offer interesting tools for dealing with imperfect data: while the former allows us to work with uncertain and incomplete information, the latter provides a formal setting for vague concepts. The two
D'eer, Lynn   +3 more
core   +1 more source

An adaptive neuro fuzzy inference system to model the uniaxial compressive strength of cemented hydraulic backfill [PDF]

open access: yes, 2018
Purpose. The purpose of this paper is to develop the models for predicting the uniaxial compressive strength (UCS) of cemented hydraulic backfill (CHB), a widely used technique for filling underground voids created by mining operations as it provides ...
Basarir, H   +4 more
core   +1 more source

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