Top Research Papers on Fuzzy Set Theory

The main purpose of the article is to analyse student's features in terms of career, memory, interest, knowledge, environment and attitude and then predict the appropriate stream for making the career comfortable so that the student can conveniently explore much in that area.

In order to comprehensively investigate attribute reduction methods in fuzzy rough set theory, all methods are summarized through six different aspects including data sources, preprocessing methods, fuzzy similarity metrics, fuzzy operations, reduction rules, and evaluation methods.

A brief review on major accidents and bibliometric analysis of risk assessment methods for excavation system in recent year is conducted and the processing and analysis of big data obtained from 3S techniques and sensors provide promising perspectives for establishing integrated technology system for excavation.

A new decision- making method is proposed to handle multi-criteria decision-making (MCDM) problems under uncertain and fuzzy environments, where the distance between two intuitionistic fuzzy sets (IFSs) is expressed by an intuitionistically fuzzy number (IFN).

The proposed article provides seven fully worked examples with screenshots of output summaries from the software used in the computations for better understanding and some managerial applications and the advantages of the proposed approach are given.

This book provides an extensive set of tools for applying fuzzy mathematics and graph theory to real-life problems. Balancing the basics and latest developments in fuzzy graph theory, this book starts with existing fundamental theories such as connectivity, isomorphism, products of fuzzy graphs, and different types of paths and arcs in fuzzy graphs to focus on advanced concepts such as planarity in fuzzy graphs, fuzzy competition graphs, fuzzy threshold graphs, fuzzy tolerance graphs, fuzzy trees, coloring in fuzzy graphs, bipolar fuzzy graphs, intuitionistic fuzzy graphs, m-polar fuzzy graphs...

This study presents a new algorithm for solving multiple attribute decision‐making problems with the extended PROMETHEE method based on IFSSs, and puts more emphasis on the construction of three distinct preference structures and related utility functions on the corresponding weakly ordered sets.

A novel fuzzy neighborhood operator with reflexivity is constructed and a new fuzzy rough set model based on the fuzzy $\alpha$ -neighborhood operator is proposed, aimed at decision-making in information systems with real-valued information systems (RVISs).

Two correlation coefficients of PFSs are introduced along with some of their properties and are better than existing ones and effective in expressing the nature of correlation (positive or negative correlation).

To address a fundamental issue of the determination of a pair of thresholds on evaluations, a general optimization based formulation is presented and Chebyshev distance is used to calculate the required thresholds.

The concept of interval-valued Fermatean fuzzy sets is introduced and some Mathematical operations on the class of IVFFSs are established and the IVFFTOPSIS method for solving multi-criteria decision-making problems is established.

In this article, the author, establishes a knowledge set for Indigenous social work practice based on Indigenous wholistic theory. An overall framework using the circle is proposed and introduced followed by a more detailed and elaborated illustration using the four directions. The article identifies the need to articulate Indigenous wholistic theory and does so by employing a wholistic framework of the four directional circle. It then systematically moves around each direction, beginning in the east where a discussion of Spirit and Vision occurs. In the south a discussion of relationships, co...

The presented model is effective for selecting important features with the higher stability of classification in neighborhood decision systems and the Fisher score model is utilized to delete irrelevant features to decrease the complexity of high-dimensional data sets.

Four major contextual "common factors" shared by various healing traditions are examined: 1) the therapeutic relationship; 2) the healing setting; 3) the rationale, conceptual scheme, or myth; and 4) the ritual.

The paper aims at introducing novel distance measures for the intuitionistic fuzzy set (IFS) to discuss the decision-making problems. The current work exploits four different notions of centers, namely centroid, orthocenter, circumcenter and incenter of the triangle. First, we mold knowledge embedded in IFSs into isosceles TFN (triangular fuzzy number). Hence, based on these TFNs, we design four-novel distance/similarity measures for IFSs using the structures of the four aforementioned centers and inspect their properties. To avoid the loss of information during the conversion of IFSs into iso...

Attribute reduction serves as a pivotal topic of rough set theory for data analysis. The ideas of tri-level thinking from three-way decision can shed new light on three-level attribute reduction. Existing classification-specific and class-specific attribute reducts consider only macro-top and meso-middle levels. This paper introduces a micro-bottom level of object-specific reducts. The existing two types of reducts apply to the global classification with all objects and a local class with partial objects, respectively. The new type applies to an individual object. These three types of reducts ...

It is shown that both high and not-high levels of digital maturity can be achieved through different configurations of antecedents, and there also exists a significant effect of technical uncertainty as well as synergy between environmental uncertainty and resource orchestration, which can jointly promote digital transformation.

Drawing on the “transactive memory” theory, it is proposed that organizational learning and inter-organizational communication can positively impact innovative performance through the mediating role of collaboration for innovation.

This paper introduces a novel method for addressing multi-attribute decision-making (MADM) problems by combining the CVPFRS model with two traditional decision- making methods (the PROMETHE method and the DEAS method).

This survey will directly help researchers understand the research developments of MSIF under RST and provide state-of-the-art understanding in specialized literature, as well as clarify the approaches and application of MSif in RST research community.