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Article
Chemistry, Multidisciplinary
Xiangjun Lai et al.
Summary: Stereo matching is the process of obtaining the depth information between two images by matching corresponding image points. Improving the accuracy and efficiency of stereo matching is a major focus of research in the field of stereo vision. This paper proposes an improved algorithm based on joint similarity measures and adaptive weights, which effectively reduces the mismatch rate and improves matching results.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Artificial Intelligence
Xinxin Zhou et al.
Summary: This paper proposes a method for human detection in crowded scenarios by using a feature pyramid network (FPN), multi-scale feature fusion technology, and attention mechanisms. The method, called SA-FPN, consists of a Scale-FPN structure, an attention-based lateral connection (ALC) module, and a bottom-up path augmentation (BPA) module. Experimental results show the effectiveness of SA-FPN in improving human detection performance.
APPLIED INTELLIGENCE
(2022)
Article
Automation & Control Systems
Lipeng Pan et al.
Summary: Intuitionistic fuzzy set (IFS) similarity measure is a crucial concept affecting key parameters in fuzzy decision systems. The new similarity measure method fully considers the impact of hesitancy on similarity measurement, proving the rationality of the proposed method.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Xian-Wei Xin et al.
Summary: The study proposed an IF3WD model to handle fuzzy incomplete information systems, extending the application range of traditional 3WD. Measurement of missing data information retention, IFNA strategy for missing data, three-state loss function, and analysis of interaction between decision costs were conducted to validate the proposed model's rationality and effectiveness.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2022)
Article
Computer Science, Artificial Intelligence
Yuan Rong et al.
Summary: Emergency schemes assessment is a crucial activity for improving emergency management, involving multiple attribute decision making. This paper proposes an innovative decision algorithm that considers the prioritized relations and correlation of attributes, utilizing picture fuzzy numbers, Archimedean copula, and prioritized operators to design various operators for fusing picture fuzzy assessment data. This novel methodology is applied to real-life emergency management scheme assessment, demonstrating superior efficiency through numerical and comparative analysis.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2022)
Article
Computer Science, Artificial Intelligence
Harish Garg et al.
Summary: This paper introduces novel distance measures for intuitionistic fuzzy sets (IFS) for decision-making, utilizing four different centers and designing four new distance/similarity measures. The inclusion of hesitation degree helps to avoid information loss, with compensation and validation performed with diverse counter-intuitive patterns. Analysis shows that the proposed measures give distinguishable and compatible results compared to existing methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Ruirui Zhao et al.
Summary: Three-way decision is a decision-making method based on human cognitive process, aiming to handle uncertain and inconsistent information. A multi-attribute three-way decision method is proposed and applied in a project investment problem to obtain more reasonable and effective results, showing the effectiveness of the approach in dealing with multi-attribute decision-making with changing information.
COGNITIVE COMPUTATION
(2022)
Article
Computer Science, Artificial Intelligence
Yong Li et al.
Summary: The article introduces a probabilistic fuzzy neural algorithm with a recurrent probabilistic generation module (PFNN-R) to enhance the ability of PFNNs to accommodate noisy data. The back-propagation-based mechanism is utilized to shape the distribution of the probabilistic density function of the fuzzy membership. Through simulation results, it is demonstrated that incorporating recurrency advances the ability of PFNNs to model time-series data with high intensity, random noise.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Rajkumar Verma et al.
Summary: This paper investigates the similarity measures between picture fuzzy sets and proposes novel distance measures based on Chi-square and Canberra metrics. By utilizing the relationship between distance and similarity measures, the paper introduces Chi-square picture fuzzy similarity and Canberra picture fuzzy similarity measures. The developed measures are applied in pattern recognition and medical diagnosis problems, showing better performance compared to existing measures.
GRANULAR COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Rakhi Gupta et al.
Summary: This paper discusses similarity measures to discriminate picture fuzzy sets, implemented in pattern recognition. A simple and cost-effective clustering method is proposed, showing the superiority of the proposed measures.
GRANULAR COMPUTING
(2022)
Review
Computer Science, Artificial Intelligence
Braulio Nascimento Lima et al.
Summary: This study aims to investigate the methods of analyzing human movement in healthy individuals using AI through fuzzy logic (FL). The results show that FL is a useful tool for assessing human movement in healthy individuals, but further data acquisition inputs are needed to enhance its applicability.
ARTIFICIAL INTELLIGENCE REVIEW
(2021)
Article
Computer Science, Artificial Intelligence
Muhammad Jabir Khan et al.
Summary: The concept of picture fuzzy sets (PFS) is a generalization of existing fuzzy sets, characterized by positive, neutral, and negative membership functions. This paper introduces new similarity measures for PFS based on two parameters, discussing their properties and providing examples of their importance in pattern recognition. The proposed similarity measure is shown to be applicable in various fields, including medical diagnosis.
EGYPTIAN INFORMATICS JOURNAL
(2021)
Article
Computer Science, Information Systems
Jin Ye et al.
Summary: This paper redefines fuzzy beta-neighborhood operators to achieve reflexivity, constructs an ITFRS model based on these reflexive operators, and proposes a new decision-making method for multi-criteria decision-making problems.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Abdul Haseeb Ganie et al.
Summary: This study introduces a novel picture fuzzy (PF) similarity measure for modeling fuzzy sets and for multi-attribute decision-making, which overcomes some drawbacks of existing methods.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Abdul Haseeb Ganie et al.
Summary: The study introduces a novel picture fuzzy distance measure based on direct operations on membership functions, and discusses its advantages in pattern classification problems. Conversion formulae are derived to apply the proposed method in real data sets. Additionally, a new multi-attribute decision-making method using the proposed PF distance measure is introduced and its performance is compared with classical methods in a PF environment.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Xindong Peng et al.
Summary: This paper discusses the importance of stock market bubble warning evaluation, proposes the application of picture fuzzy set and a novel scoring function. By calculating objective weights and combined weights, as well as a decision-making algorithm based on Combined Compromise Solution, the stock market bubble problem is effectively addressed.
ARTIFICIAL INTELLIGENCE REVIEW
(2021)
Article
Green & Sustainable Science & Technology
Chao Tian et al.
Summary: This paper constructs a sustainability evaluation framework based on the extended VIKOR method, which can more accurately evaluate the sustainability of WET-PPP projects. The proposed method combines picture fuzzy similarity and traditional VIKOR method, considering uncertainties comprehensively and obtaining stable and feasible evaluation results.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Multidisciplinary Sciences
Ruirui Zhao et al.
Summary: The paper proposes a dynamic distance measure of picture fuzzy sets based on a picture fuzzy point operator to address some unreasonable and counterintuitive cases in existing distance measures. Through numerical comparisons and multi-criteria decision-making problems, it is shown that the proposed distance measure is reasonable and effective.
Article
Computer Science, Artificial Intelligence
Surender Singh et al.
Summary: In this article, new similarity measures for picture fuzzy sets (PFSs) are proposed to distinguish inconsistent PFSs, with applications in pattern recognition and decision-making. The superiority of the proposed PFS similarity measures over existing ones is established through structured linguistic variables.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Jiulin Jin et al.
Summary: The paper introduces the concept of picture fuzzy tensor and explores its related properties, establishing a decomposition theorem for picture fuzzy tensors using cutting tensors and t-norm. Two generalized picture fuzzy weighted operators are proposed, and an application in multi-attribute decision making is presented, proving the feasibility and effectiveness of the proposed method through a typical application example.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Computer Science, Software Engineering
Jiulin Jin et al.
Summary: This paper introduces a covering-based picture fuzzy rough set (CPFRS) model and combines it with the principle of TOPSIS method to propose a new method for solving multicriteria decision-making problems in picture fuzzy environments. The method is applied to risk management of green buildings and proves to be effective and flexible when compared to existing methods.
SCIENTIFIC PROGRAMMING
(2021)
Article
Engineering, Chemical
Yang Liu et al.
Summary: Mineral image segmentation is crucial for intelligent ore sorting equipment, but current methods struggle with adhesion and overlap issues. A new deep learning-based approach shows improved segmentation performance, effectively solving these problems.
ADVANCED POWDER TECHNOLOGY
(2021)
Article
Mathematics, Applied
Gholamreza Hesamian et al.
Summary: A statistical method based on non-parametric kernel was proposed to establish a fuzzy prediction model, introducing flexible right and left spreads. A hybrid algorithm was developed to evaluate optimal values, and four time series data sets were employed to examine the algorithm.
COMPUTATIONAL & APPLIED MATHEMATICS
(2021)
Article
Computer Science, Information Systems
Minxia Luo et al.
Summary: Picture fuzzy sets, as an extension of intuitionistic fuzzy sets, are able to handle vague, uncertain, incomplete and inconsistent information. This study proposes a similarity measure between picture fuzzy sets based on relationship matrix, which satisfies the axiomatic definition of similarity measure. Numerical experiments demonstrate the effectiveness of the new similarity measure, which is then applied to multiple-attribute decision making.
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Nguyen Xuan Thao
PATTERN ANALYSIS AND APPLICATIONS
(2020)
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Li Zhang et al.
INFORMATION SCIENCES
(2020)
Article
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Haibo Jiang et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2020)
Article
Automation & Control Systems
Minxia Luo et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2020)
Article
Economics
Chao Tian et al.
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY
(2020)
Article
Computer Science, Interdisciplinary Applications
Yanbing Ju et al.
COMPUTERS & INDUSTRIAL ENGINEERING
(2019)
Article
Computer Science, Information Systems
Li Zhang et al.
INFORMATION SCIENCES
(2019)
Article
Multidisciplinary Sciences
M. Sarwar Sindhu et al.
Article
Computer Science, Artificial Intelligence
Le Wang et al.
APPLIED SOFT COMPUTING
(2018)
Article
Mathematics
Pushpinder Singh et al.
Article
Computer Science, Artificial Intelligence
Guiwu Wei
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2017)
Article
Computer Science, Information Systems
Guiwu Wei
Article
Multidisciplinary Sciences
Harish Garg
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2017)
Article
Computer Science, Artificial Intelligence
R. Krishankumar et al.
APPLIED SOFT COMPUTING
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
Bui Cong Cuong et al.
2015 SEVENTH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE)
(2015)
Article
Computer Science, Artificial Intelligence
Ronald R. Yager et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2013)
Article
Computer Science, Theory & Methods
CT Chen
FUZZY SETS AND SYSTEMS
(2000)
Article
Automation & Control Systems
SQ Wu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
(2000)
