Results 41 to 50 of about 156,383 (326)

On Fuzzy Soft Linear Operators in Fuzzy Soft Hilbert Spaces

Abstract and Applied Analysis, 2020
Due to the difficulty of representing problem parameters fuzziness using the soft set theory, the fuzzy soft set is regarded to be more general and flexible than using the soft set.
Nashat Faried, Mohamed S. S. Ali, Hanan H. Sakr   +2 more
doaj   +1 more source

A Geometric Interpretation of the Neutrosophic Set - A Generalization of the Intuitionistic Fuzzy Set

, 2011
In this paper we generalize the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Several examples are presented.
Smarandache, Florentin
core   +1 more source

A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment [PDF]

Yugoslav Journal of Operations Research
In scenarios containing complex or high-dimensional data, in which conventional distance measures might not be able to accurately portray the subtleties of information interactions, a complex picture fuzzy soft distance measure is crucial.
Asghar Ali, Khan Khuram Ali, Rahman Atiqe Ur   +2 more
doaj   +1 more source

Fuzzy Supernova Templates I: Classification

, 2009
Modern supernova (SN) surveys are now uncovering stellar explosions at rates that far surpass what the world's spectroscopic resources can handle. In order to make full use of these SN datasets, it is necessary to use analysis methods that depend only on
Aldering, Barbary, Barris, Blondin, Cappellaro, Di Carlo, Dubois, Dubois, Garnavich, George, Goldhaber, Gregory, Gänsicke, Hamacher, Hamuy, Hatano, Hicken, Holtzman, Homeier, Howell, Hsiao, Jha, Jha, Jha, John L. Tonry, Johnson, Klir, Krisciunas, Krisciunas, Krisciunas, Kuznetsova, Lair, Leonard, Lewis, Lira, Meikle, Miknaitis, Nugent, Patat, Perlmutter, Poznanski, Qiu, Reindl, Riess, Riess, Riess, Sako, Sollerman, Steven A. Rodney, Stritzinger, Sullivan, Suntzeff, Tonry, Tsvetkov, Tsvetkov, Wang, Wood-Vasey, Yokoo, Yoshii   +58 more
core   +1 more source

Averaging aggregation operators under the environment of q-rung orthopair picture fuzzy soft sets and their applications in MADM problems

AIMS Mathematics, 2023
q-Rung orthopair fuzzy soft set handles the uncertainties and vagueness by membership and non-membership degree with attributes, here is no information about the neutral degree so to cover this gap and get a generalized structure, we present hybrid of ...
Sumbal Ali , Asad Ali, Ahmad Bin Azim , Ahmad ALoqaily , Nabil Mlaiki   +4 more
doaj   +1 more source

Adaptive inferential sensors based on evolving fuzzy models [PDF]

, 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

Pythagorean fuzzy soft rough sets and their applications in decision-making

Journal of Taibah University for Science, 2020
This paper aims to originate two new notions that are soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set, and investigate some important properties of soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set in detail ...
Azmat Hussain, Muhammad Irfan Ali, Tahir Mahmood   +2 more
doaj   +1 more source

A novel approach to hesitant multi-fuzzy soft set based decision-making

AIMS Mathematics, 2020
In this article, we present the idea of a hesitant multi-fuzzy set. We join the characteristics of a hesitant multi-fuzzy set with the parametrization of the soft set and constructs the hesitant multi-fuzzy soft set.
Asit Dey, Tapan Senapati, Madhumangal Pal, Guiyun Chen   +3 more
doaj   +1 more source

Data granulation by the principles of uncertainty [PDF]

, 2015
Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to characterize the so-called information granules.
Livi, Lorenzo, Sadeghian, Alireza
core   +1 more source

On Fuzzy Soft Set-Valued Maps with Application

Journal of Nigerian Society of Physical Sciences, 2020
Soft set and fuzzy soft set theories are proposed as mathematical tools for dealing with uncertainties. There has been tremendous progress concerning the extensions of these theories from different point of views of researchers so as to accommodate more ...
Shehu Shagari Mohammed
doaj   +1 more source