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Article
Computer Science, Information Systems
Murat Kirisci et al.
Summary: This study presents a new algorithm for group decision-making using Pythagorean Fuzzy Soft Matrices (PFSMs) and confident weight given by experts. The algorithm improves the reliability of decision-making by applying matrix operations to expert opinions, and it is validated with a medical case.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Multidisciplinary Sciences
Orhan Dalkilic et al.
Summary: This paper introduces a novel concept of bipolar soft expert set by combining the soft expert set and the bipolar soft set, and defines its basic operations. An algorithm is proposed to address uncertainty problems using this set theory, with a detailed implementation showcased in an example.
GAZI UNIVERSITY JOURNAL OF SCIENCE
(2022)
Article
Biochemical Research Methods
Jia-Bao Liu et al.
Summary: This paper presents a novel hybrid model called m-polar Diophantine fuzzy N-soft set and defines its operations. The model proves to be more efficient and adaptable in managing uncertainties, overcoming the drawbacks of existing models. It generalizes several concepts and introduces the concept of m-polar Diophantine fuzzy N-soft sets.
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
(2022)
Article
Mathematics, Applied
Faruk Karaaslan et al.
Summary: This study defines the concept of hesitant fuzzy parameterized hesitant fuzzy soft (HFPHFSs) sets and introduces distance measure methods and decision-making algorithms based on them. Furthermore, the proposed methods are compared to existing methods in decision-making.
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Samet Memis et al.
Summary: In this paper, the Comparison Matrix-Based Fuzzy Parameterized Fuzzy Soft Classifier (FPFS-CMC) is proposed to apply soft decision-making methods in machine learning, with comparisons to other classifiers showing its superior performance. Experimental and statistical results both support that FPFS-CMC outperforms existing methods in various performance metrics.
Article
Mathematics, Applied
Naime Demirtas et al.
Summary: This paper introduces the theoretical model of N-polar soft sets, including their properties and operations, and proposes decision-making algorithms based on N-polar soft sets. The results show that using N-polar soft sets can provide better solutions to uncertainty problems.
COMPUTATIONAL & APPLIED MATHEMATICS
(2022)
Article
Mathematics
Tahir Mahmood et al.
Summary: This article introduces the concept of bipolar complex fuzzy soft set as a generalization of bipolar complex fuzzy set and soft set, and explores its basic operations, properties, decision-making algorithm, and real-life examples, as well as its comparative study with other related concepts.
Review
Mathematics, Applied
Orhan Dalkilic et al.
Summary: This paper discusses the application of bipolar soft rough sets in eliminating uncertainty and decision-making processes, introduces the concept of bipolar soft rough classes, and proposes a more efficient decision-making algorithm. In addition, several novel concepts are presented and their properties are examined in detail.
COMPUTATIONAL & APPLIED MATHEMATICS
(2022)
Article
Mathematics
Osman Kazanci et al.
Summary: This paper introduces mathematical concepts such as group structure, hypergroup structure, multi-fuzzy set, and soft set, and proposes a new soft structure called multi-fuzzy soft polygroup. It analyzes the relationship between multi-fuzzy soft sets and polygroups, extends some algebraic properties, and defines new operations.
Article
Computer Science, Artificial Intelligence
Ghous Ali et al.
Summary: Fermatean fuzzy set theory is a novel mathematical tool for handling uncertainties in different real-world domains, presenting a more flexible and reliable approach compared to intuitionistic and Pythagorean fuzzy sets. This paper introduces a new hybrid model, the Fermatean fuzzy bipolar soft set, which extends existing models and explores applications in various decision-making scenarios, such as selecting a surgeon robot and analyzing the impact of COVID-19.
GRANULAR COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Fatia Fatimah et al.
Summary: This paper introduces a novel hybrid model called multi-fuzzy N-soft set and designs an adjustable decision-making methodology. The methodology is adaptable in a multi-fuzzy environment and utilizes parameters for efficient decision-making processes. The set-theoretical analysis establishes the fundamental properties of multi-fuzzy N-soft sets.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Nithiya Baskaran et al.
Summary: The study introduces a fuzzy soft set-based algorithm for virtual machine consolidation, which significantly improves energy consumption, service level agreement violation rate, and virtual machine migration in data centers. Experimental results demonstrate that the proposed algorithm outperforms existing ones.
JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Orhan Dalkilic et al.
Summary: This study introduces VFP-soft sets to address the limitations of FP-soft sets in solving uncertainty problems. It demonstrates through an algorithm that VFP-soft set theory is more effective in approximating uncertainty to the ideal solution. Specific parameter sets increase the availability of alternative solutions, facilitating the selection of the most ideal solution from multiple options.
JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
(2021)
Article
Mathematics, Applied
Orhan Gocur
Summary: The article introduces the concept and characteristics of amply soft topology produced by classical topologies, exploring the relationship between the elements and parameters in amply soft topology structure, as well as the relationship between amply soft sets and topological spaces.
Article
Mathematics
Orhan Dalkilic et al.
Summary: This study introduces the concept of bipolar fuzzy soft (D-)metric space and investigates related properties. It also explores the concepts of bipolar fuzzy soft sequences and bipolar fuzzy soft Cauchy sequences using defined metric spaces. Many examples are provided to enhance understanding of the concepts studied.
COMMUNICATIONS FACULTY OF SCIENCES UNIVERSITY OF ANKARA-SERIES A1 MATHEMATICS AND STATISTICS
(2021)
Article
Computer Science, Artificial Intelligence
Harish Garg et al.
Summary: IFSS, with its parameterization feature, accommodates more uncertainties than intuitionistic fuzzy sets; ATT is essential for operational laws and MSM is advantageous for considering interrelations among multi-input arguments. This article extends MSM operators to IFSS based on ATT to solve MCDM problems, introducing generalized operational laws, averaging and geometric aggregation operators, and demonstrating their superiority through comparative study.
ARTIFICIAL INTELLIGENCE REVIEW
(2021)
Article
Computer Science, Artificial Intelligence
Diego A. Carrera et al.
APPLIED SOFT COMPUTING
(2020)
Article
Automation & Control Systems
Weijie Chen et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2020)
Article
Computer Science, Artificial Intelligence
Jose Carlos R. Alcantud
INFORMATION FUSION
(2016)
Article
Computer Science, Artificial Intelligence
Irfan Deli et al.
APPLIED SOFT COMPUTING
(2015)
Review
Computer Science, Artificial Intelligence
Jianming Zhan et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2015)
Article
Computer Science, Artificial Intelligence
Xuechong Guan et al.
Article
Mathematics, Applied
A. R. Roy et al.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2007)
