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Fuzzy Soft Set Based Classification for Rock Dataset
One of the main tasks in geological studies is rock classification. To examine rock samples in this classification usually requires a human expert....
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An Efficient Graph Mining Approach Using Evidence Based Fuzzy Soft Set Method
The Dempster-Shafer theory of evidence is a method of fuzzy soft that is a very hot way to deal with uncertainty in the information technology field....
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A systematic literature review of soft set theory
Soft set theory, initially introduced through the seminal article “Soft set theory—First results” in 1999, has gained considerable attention in the...
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Fuzzy Soft Skills Assessment through Active Learning Sessions
This research aims to present a Fuzzy Expert System with psychologist expertise that seeks to assist professors, researchers and educational...
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Bonferroni mean aggregation operators under q-rung linear diophantine fuzzy hypersoft set environment and its application in multi-attribute decision making
q-Rung linear diophantine fuzzy set is a significant extension of fuzzy set theory and soft set theory was widened into hypersoft set theory. In this...
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Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling Theory and Applications
This book facilitates both the theoretical background and applications of fuzzy, intuitionistic fuzzy and rough, fuzzy rough sets in the area of data...
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Novel group decision-making method based on interval-valued m-polar fuzzy soft expert information
In mathematical modeling and decision analysis, the multipolar uncertainty is prevalent and requires specialized approaches. The theory of m -polar...
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A novel approach to fuzzy N-soft sets and its application for identifying and sanctioning cyber harassment on social media platforms
This study proposes a novel approach to fuzzy N -soft sets for handling cases where membership degree and grade are not related. In the standard model...
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An intuitionistic fuzzy hypersoft expert set-based robust decision-support framework for human resource management integrated with modified TOPSIS and correlation coefficient
Human resource management is the process of making a company’s human resources decisions. In general, these decisions include hiring, firing,...
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A Linear Diophantine Fuzzy Soft Set-Based Decision-Making Approach Using Revised Max-Min Average Composition Method
Handling uncertainty is an important factor in decision-making. To handle uncertainty, various methodologies and approaches have been introduced...
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Group decision-making with Fermatean fuzzy soft expert knowledge
With the rapid growth of population, the global impact of solar technology is increasing by the day due to its advantages over other power production...
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The multi-fuzzy N-soft set and its applications to decision-making
The goal of this paper is to introduce a novel hybrid model called multi-fuzzy N -soft set, and to design an adjustable decision-making methodology...
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Cosine similarity, distance and entropy measures for fuzzy soft matrices
Imprecise data is effectively deal with fuzzy sets, soft sets, and fuzzy soft sets. Whereas matrix theory is an important tool in Mathematics, it has...
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A new efficient decision making algorithm based on interval-valued fuzzy soft set
Interval-valued fuzzy soft set is an extended model of soft set. It is a new mathematical tool that has great advantages in dealing with uncertain...
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An integrated multi-polar fuzzy N-soft preference ranking organization method for enrichment of evaluations of the digitization of global economy
Digitization represents the ultimate expression of globalization that has revolutionized every facet of global existence, enhancing connectivity,...
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Using particle swarm optimization of fuzzy logic systems as a hybrid soft computing method to enhance solar energy prediction
Models of artificial intelligence (AI) and numerical weather prediction (NWP) have been widely used to successfully forecast solar radiation....
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A fuzzy rough set-based horse herd optimization algorithm for map reduce framework for customer behavior data
A large number of association rules often minimizes the reliability of data mining results; hence, a dimensionality reduction technique is crucial...
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q-Rung Orthopair Fuzzy Soft Set-Based Multi-criteria Decision-Making
In this chapter, we develop a hybrid structure named as “q-rung orthopair fuzzy soft sets” (q-ROFSSs) by combining the features of Yager’s “q-rung...
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Weighted correlation coefficient measure for intuitionistic fuzzy set based on cosine entropy measure
Here, a new weighted correlation coefficient measure for intuitionistic fuzzy sets has been proposed having range between [− 1, 1]. It is obvious...
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Kernelized multi-granulation fuzzy rough set over hybrid attribute decision system and application to stroke risk prediction
Searching for quantitative scientific prediction models and methods under uncertain hybrid information environment is helpful to the scientific...
