Results 31 to 40 of about 156,383 (326)

Spherical Fuzzy Soft Rough Average Aggregation Operators and Their Applications to Multi-Criteria Decision Making

open access: yesIEEE Access, 2022
The objective of this article is to explore and generalize the notions of soft set and rough set along with spherical fuzzy set and to introduce the novel concept called spherical fuzzy soft rough set that is free from all those complications faced by ...
Leina Zheng   +4 more
doaj   +1 more source

Decision-Making Approach with Fuzzy Type-2 Soft Graphs

open access: yesJournal of Mathematics, 2020
Molodtsov’s theory of soft sets is free from the parameterizations insufficiency of fuzzy set theory. Type-2 soft set as an extension of a soft set has an essential mathematical structure to deal with parametrizations and their primary relationship ...
Sundas Shahzadi   +2 more
doaj   +1 more source

Soft rough fuzzy sets and soft fuzzy rough sets

open access: yesComputers & Mathematics with Applications, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meng, Dan, Zhang, Xiaohong, Qin, Keyun
openaire   +1 more source

Pemodelan Sistem Fuzzy dengan Menggunakan Matlab [PDF]

open access: yes, 2010
Fuzzy logic is a method in soft computing category, a method that could process uncertain, inaccurate, and less cost implemented data. Some methods in soft computing category besides fuzzy logic are artificial network nerve, probabilistic reasoning, and ...
Salman, A. G. (Afan)
core   +2 more sources

A survey on different definitions of soft points: limitations, comparisons and challenges [PDF]

open access: yesJournal of Fuzzy Extension and Applications, 2021
The aim of this paper is to investigate different definitions of soft points in the existing literature on soft set theory and its extensions in different directions.
Mujahid Abbas   +2 more
doaj   +1 more source

Computing fuzzy rough approximations in large scale information systems [PDF]

open access: yes, 2014
Rough set theory is a popular and powerful machine learning tool. It is especially suitable for dealing with information systems that exhibit inconsistencies, i.e. objects that have the same values for the conditional attributes but a different value for
Asfoor, Hasan   +7 more
core   +1 more source

A Novel Fuzzy Parameterized Fuzzy Hypersoft Set and Riesz Summability Approach Based Decision Support System for Diagnosis of Heart Diseases

open access: yesDiagnostics, 2022
Fuzzy parameterized fuzzy hypersoft set (Δ-set) is more flexible and reliable model as it is capable of tackling features such as the assortment of attributes into their relevant subattributes and the determination of vague nature of parameters and their
Atiqe Ur Rahman   +4 more
doaj   +1 more source

On topological structures of fuzzy parametrized soft sets [PDF]

open access: yes, 2014
In this paper, we introduce the topological structure of fuzzy parametrized soft sets and fuzzy parametrized soft mappings. We define the notion of quasi-coincidence for fuzzy parametrized soft sets and investigated basic properties of it.
Atmaca, Serkan, Zorlutuna, İdris
core   +5 more sources

Genetic algorithm design of neural network and fuzzy logic controllers [PDF]

open access: yes, 2000
Genetic algorithm design of neural network and fuzzy logic ...
Chiu, K. S., Hunter, Andrew
core   +1 more source

An introduction to fuzzy soft graph [PDF]

open access: yesMathematica Moravica, 2015
The notions of fuzzy soft graph, union, intersection of two fuzzy soft graphs are introduced in this paper and a few properties relating to finite union and intersection of fuzzy soft graphs are established here.
Mohinta Sumit, Samanta T. K.
doaj  

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