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.

To make scientific inferences about business phenomena, it may not be sufficient to consider the real-world context of the business environment as statistically symmetrical (e.g., linearly, regular frequencies). This is why recently the use of asymmetrical techniques which draw on the reasoning of complexity theory – such as fuzzy-set qualitative comparative analysis (fsQCA) – to better predict and explain real-world business phenomena using a configurational approach is being increasingly promoted. This article aims to identify the key contributors and knowledge structure of business and mana...

This article defined the new definition of BCFS, and interpreted some generalized trigonometric similarity measures, and applied these similarity measures (SMs) in two real‐life applications to show the benefits and advantages of the proposed SMs.

This work considers the multiattribute group decision making (MAGDM) method and embellish it with numerical examples, to rank the alternatives and to confer its more manageable and adaptable nature.

This work proposes a new rough set model, i.e., fuzzy dominance neighborhood rough sets (FDNRS), and a conditional entropy with robustness is defined based on FDNRS model, which is used as evaluation metric for features and combined with a heuristic feature selection algorithm.

Some novel directional correlation coefficients are put forward to compute the relationship between two PFSs by taking four parameters of the PFS's into consideration, which are the membership degree, non-membership degree, strength of commitment, and direction of commitment.

The increasing interest in fuzzy-set Qualitative Comparative Analysis (fsQCA) in Information Systems and marketing raises the need for a tutorial paper that discusses the basic concepts and principles of the method, provide answers to typical questions that editors, reviewers, and authors would have when dealing with a new tool of analysis, and practically guide researchers on how to employ fsQCA. This article helps the reader to gain richer information from their data and understand the importance of avoiding shallow information‐from‐data reporting. To this end, it proposes a different resear...

A task offloading scheme fuzzy-task-offloading-and-resource-allocation (F-TORA) based on Takagi–Sugeno fuzzy neural network (T–S FNN) and game theory is designed and the robust performance of the proposed method is validated by comparative experiments.

We present a complete list of the dimension 8 operator basis in the standard\nmodel effective field theory using group theoretic techniques in a systematic\nand automated way. We adopt a new form of operators in terms of the irreducible\nrepresentations of the Lorentz group, and identify the Lorentz structures as\nstates in a $SU(N)$ group. In this way, redundancy from equations of motion is\nabsent and that from integration-by-part is treated using the fact that the\nindependent Lorentz basis forms an invariant subspace of the $SU(N)$ group. We\nalso decompose operators into the ones with def...

The integrated chatbot acceptance-avoidance model, which looks at the positive and negative determinants of using chatbots for knowledge sharing, and provides several managerial implications for universities, instructors, and chatbot developers to help them make insightful decisions and promote the use of chatbots.

An open set fault diagnosis method is proposed to address the fault diagnosis problem in a more practical scenario where the test label set consists of a portion of the training label set and some unknown classes.

This work critically review and update the application of goal-setting theory in physical activity promotion, by examining core developments in this theory since 1990 and discussing implications for policy, research, and practice.

This study addresses the prioritization of risks involved with self-driving vehicles by proposing new hybrid MCDM methods based on the Analytic Hierarchy Process (AHP), the Technique for order preference by similarity to an ideal solution (TOPSIS) and Vlse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) under Pythagorean fuzzy environment.

This paper proposes a new intuitionistic fuzzy extension of MAIRCA framework, named intuitionists fuzzy MAIR CA (IF-MAIRCA) to assess coronavirus vaccines according to some evaluation criteria, and demonstrates that the most significant criteria considered in coronav virus vaccine selection are “duration of protection,” “effectiveness of the vaccine,’ “success against the mutations,�” and “logistics” respectively.

This study constructs a TWD model in IFDSs and applies it to the modeling of incomplete MADM (IMADM) problems, and introduces the notion of relative utility functions and presents an approach to determine the relative utility function values.

A novel framework is elaborated which combines AHP and TOPSIS with a spherical fuzzy set, which is effective in handling uncertainty in decision making and leads to robust and competitive results compared with state-of-the-art multi-criteria decision-making (MCDM) approaches.

The main purpose of this study is to evaluate the selection criteria of supplier companies operating in the defense industry using fuzzy based decision-making models. In the study, supplier selection criteria were constructed through a detailed analysis of numerous studies conducted between 1966 and 2019. Delphi method and Analytical Hierarchy Process (AHP) are used in the analysis. In the implementation phase, four different companies were determined, then evaluations of experts who with worked with these companies at various times were collected. The q-Rung Orthopair Fuzzy Set (q-ROFS) based...

A feature selection algorithm is designed to improve the performance for multilabel data with missing labels and is effective not only for recovering missing labels but also for selecting significant features with better classification performance.

The results suggest that the foundations of mind-set theory are not firm and that bold claims about mind- set appear to be overstated.

This study aims to propose a novel approach to selecting the optimal landfill for medical waste using Multi-Criteria Decision-Making (MCDM) methods extended by spherical fuzzy sets (SFS).

A new CRP model for GDM problems with hesitant fuzzy linguistic term sets (HFLTSs), which also considers the reliability of experts, is developed and the reliability is introduced to build a new feedback mechanism that provides experts with explicit advice during the consensus reaching process.