1,720,970 research outputs found
Quadripartitioned single valued neutrosophic sets with covering based rough sets and their matrix representation
The notion of a quadripartitioned single-valued neutrosophic set (in short QSVNS) is considered to be the more general
mathematical framework of the neutrosophic set to model indeterminacy. In QSVNS, the indeterminacy component is divided
into two parts, namely, “unknown” and “contradiction”. In a real-life scenario, while handling indeterminacy, we may have some
hesitation about whether the indeterminacy occurs due to the belongingness or the non-belongingness of an object. This leads to
the introduction of QSVNS. On the other hand, the theory of rough set (RS) is introduced to depict the incomplete data hidden in
nature with an aid of equivalence relation. So, by combining the QSVNS and the RS, a new mathematical structure known as a
quadripartitioned single-valued neutrosophic rough set is formed. The main purpose of this article is to present two types of
quadripartitioned single-valued neutrosophic covering rough set models. Also, we have introduced QSVN β-covering
approximation space and studying some of its properties. Based on QSVN β -covering approximation spaces, two types of QSVN
covering rough set models are investigated. Furthermore, a matrix representation of the QSVN covering-based rough set model is
developed. Finally, an algorithm-based model under QSVN covering-based rough set is developed and employed in a case study
to diagnose a patient/s that is more likely suffering from a disease having certain symptoms
Linear Diophantine Neutrosophic Sets and Their Properties
: In 2019, Riaz et al. introduced the notion of linear Diophantine fuzzy set(LDFS) where there is an addition of reference parameters that help to address the issues that cannot be managed by the existing theories such as fuzzy sets(FSs), intuitionistic fuzzy sets(IFSs), Pythagorean fuzzy sets(PFSs), and q-rung orthopair fuzzy sets(q-ROFSs). But all these theories are not capable to describe indeterminacy that exists in numerous real-world problems. For this purpose, neutrosophic sets(NSs), single-valued neutrosophic sets(SVNSs), Pythagorean neutrosophic sets(PNSs) are introduced. In PNS, each object x in the universe is characterized by a dependent truth T x and falsity F x membership values and indeterminacy I x membership value with the restriction 2 2 2 0 2 T F I x x x . If we consider a neutrosophic triplet as 0.9,0.9,0.9 then 222 0.9 0.9 0.9 will give 2.43, which is 2 . Such a problem cannot be handled by the decision-makers under the Pythagorean neutrosophic environment. To take care of such an issue there is an urgency to develop another mathematical model. This lead to an introduction of linear Diophantine neutrosophic set(LDNS) as an extension of PNS. Thus, the main purpose of this paper is to introduce the LDNS model with an aid of reference parameters to ensure that through this new model the decision-makers can freely choose the neutrosophic membership values with an extended domain. Therefore, in a broad sense, the LDNSs are a new idea that removes the restrictions present in the existing concepts such as FSs, IFSs, PFSs, q-ROFSs, PNSs, LDFSs, etc. From example 3.1.1, it is quite visible that this new structure helps to classify the problem by changing the physical nature of reference parameters. Moreover, some basic properties and operations on LDNSs are investigated. We also define the score and accuracy function based on linear Diophantine neutrosophic number(LDNN). With the help of a novel linear Diophantine single-valued neutrosophic weighted arithmetic-geometric aggregation (LDSVNWAGA) operator, an algorithm has been developed for decision-making. Finally, the proposed algorithm has been successfully executed with the help of a numerical application
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Interval-Valued Intuitionistic Hypersoft Sets and Their Algorithmic Approach in Multi-criteria Decision Making
Hypersoft set(HSS) is one of the recent topics developed by Smarandache in 2018 to be presented by replacing the single attribute function, used in soft set(SS), with a multi attribute function i.e a function can be further bifurcated using HSS. So, HSS provides more options to the decision-makers than SS to make precise and valid decisions. Also, the interval-valued intuitionistic fuzzy set (IVIFS) is developed to counter a kind of uncertain complex decision-making problem where the membership and non-membership values of a certain element are not precise. Basically, the IVIFS is the generalization of a fuzzy set(FS), interval-valued fuzzy set(IVFS), and intuitionistic fuzzy set(IFS). Therefore, the mixture of HSS and IVIFS will surely give a new field of study for the decision-makers to enhance their critical thinking ability to make a conclusive decisions. The main aim of the paper is to present the notion of interval-valued intuitionistic fuzzy hypersoft sets (IVIFHSSs) and study some fundamental operations on them which are worthy in critical decision making. The IVIFHSSs can be viewed as a hybrid structure that can be formed by combining interval-valued intuitionistic fuzzy sets (IVIFSs) and hypersoft sets (HSSs). On the idea of IVIFHSSs and their kinds, different operators such as complement, union, intersection, OR, AND etc have been introduced, and by using these operators we can encounter real-life-based problems that contain incomplete and parameterized information or data. A new algorithm based on IVIFHSSs has been initiated. Finally, a numerical example is employed to check the reliability and validity of the algorithm. In the future, we use the proposed concept practically in medical diagnosis, personality selection, weather forecasting, data clustering, parameter reduction, decision making, et
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Intuitionistic fuzzy soft game theory
In this article, we define two person intuitionistic fuzzy soft games, which can be applied to problems containing
vagueness and uncertainty. We then give one solution method of the game which is intuitionistic fuzzy soft saddle point. Finally
we give an application which shows that the method can be successfully applied to a real life problem and extend the two person
intuitionistic fuzzy soft game (tp ifs-games) to n-person ifs-games. We also introduce intuitionistic fuzzy soft upper and
intuitionistic lower values of a two person intuitionistic fuzzy soft game
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