Results 31 to 40 of about 156,340 (282)
Impact of Complex Interval Neutrosophic Soft Set Theory in Decision making By Using Aggregate Operator [PDF]
Neutrosophic Sets and Systems, 2021 The main purpose of the paper is to introduce the notion of complex interval neutrosophic soft set (CIVNSS) theory, which is the generalization of the soft set, fuzzy soft set, interval-valued fuzzy soft set, interval neutrosophic soft set, etc.
Somen Debnath
doaj +1 more source
Journal of Hyperstructures, 2012 In the present paper, we introduce the concept of fuzzy soft ring and study several algebraic properties. Thereafter, we define the notions of fuzzy soft ideal of a fuzzy soft ring, idealistic fuzzy soft ring and soft homomorphism between fuzzy soft ...
B. Pazar Varol +2 more
doaj +1 more source
A robust algorithmic cum integrated approach of interval-valued fuzzy hypersoft set and OOPCS for real estate pursuit [PDF]
PeerJ Computer Science, 2023 Due to the vast variety of aspects that must be made—many of which are in opposition to one another—choosing a home can be difficult for those without much experience. Individuals need to spend more time making decisions because they are difficult, which
Muhammad Arshad +6 more
doaj +2 more sources
IEEE 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
A survey on different definitions of soft points: limitations, comparisons and challenges [PDF]
Journal 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
Soft rough fuzzy sets and soft fuzzy rough sets
Computers & 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]
, 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
Decision-Making Approach with Fuzzy Type-2 Soft Graphs
Journal 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
Computing fuzzy rough approximations in large scale information systems [PDF]
, 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
Diagnostics, 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