Article
Mathematics, Applied
Kaiyan Yang, Lan Shu, Guowu Yang
Summary: Compared with CFS and IFS, CIFS can handle two-dimensional and uncertain information simultaneously, and its importance in capturing useful information is considered. The CIFOWD measure provides a parameterized family of aggregation distance measures, including special types like CIFOWGD, CIFOWHD, and CIFOWED. A multiple criteria group decision-making approach is presented under CIFSs environment, and its effectiveness is demonstrated through an illustrative example of coronavirus vaccine selection.
COMPUTATIONAL & APPLIED MATHEMATICS
(2022)
Article
Computer Science, Information Systems
Kamal Kumar, Shyi-Ming Chen
Summary: In this paper, a distance measure for linguistic intuitionistic fuzzy sets (LIFSs) is proposed, where the membership grade and non-membership grade are represented by linguistic intuitionistic fuzzy numbers (LIFNs). The validity and desirable properties of the proposed distance measure are proven, and a weighted distance measure for LIFSs is also introduced. Furthermore, a new group decision making approach in the environments of LIFNs is proposed using the weighted distance measure and the TOPSIS method. The proposed approach overcomes the drawbacks of existing approaches and provides a useful method for GDM problems in LIFNs environments.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Xiuli Du, Kun Lu, Yangang Nie, Shaoming Qiu
Summary: This paper proposes a group decision information fusion model based on the combinatorial ordered weighted average operator, which considers the incompleteness, uncertainty, and plurality of decision information and effectively improves the accuracy of group consensus. An interval intuitionistic fuzzy combinatorically weighted average operator is established, which embodies the weight of the set data itself and the weight of data position. A position weight solving model for this operator is also devised using cross-entropy and Orness measures. The proposed operator is shown to better utilize decision data and achieve improved group consensus through specific case analysis.
Article
Computer Science, Artificial Intelligence
Iman Mohamad Sharaf
Summary: Pythagorean fuzzy sets (PFSs) have proven to be effective in handling uncertainty and vagueness in multi-criteria group decision-making (MCGDM). This study introduces a new approach called the differential measure (DFM) for comparing PFSs, aiming to eliminate unfair arguments resulting from the equal treatment of contradicting parameters. The study also proposes a novel method for MCGDM based on the introduced DFM, along with a technique for computing expert weights. The applicability and validity of the method are demonstrated through two applications and comparison with existing methods.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Computer Science, Information Systems
Lun Guo, Jianming Zhan, Zeshui Xu, Jose Carlos R. Alcantud
Summary: In this paper, a novel fuzzy large group decision making method is proposed, which utilizes three-way clustering and an adaptive exit-delegation mechanism. The method separates the edge points and outliers from the clustering results using the three-way relationships, and determines the individual weight and trust weight using a consensus measure-based model. Comparative analyses verify the feasibility and effectiveness of the proposed method.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Quanyu Ding, Ying-Ming Wang, Mark Goh
Summary: This study introduces a TODIM dynamic emergency decision-making method based on hybrid weighted distance to address the uncertainty of information in a probabilistic hesitant fuzzy environment. The proposed method outperforms existing methods and shows great potential in handling fuzzy information during emergency decision-making, as demonstrated through a case study of a large fire in China.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
ShaoLin Zhang, Xia Li, FanYong Meng
Summary: This paper proposes a group decision making method based on intuitionistic triangular fuzzy information, including new ranking method, aggregation operator, and distance measure. The optimal measure results can be obtained by constructing programming models. The example demonstrates the applicability of the proposed method.
APPLIED INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Zhang Yiru, Bouadi Tassadit, Wang Yewan, Martin Arnaud
Summary: This paper focuses on measuring the dissimilarity between evidential preferences based on the theory of belief functions, addressing two main issues and proposing a novel distance named Unequal Singleton Pair (USP) distance to improve the quality of decision results. The existing dissimilarity functions are found to be unsuitable for evidential preferences, leading to the proposal of a new distance measure for better discrimination and decision-making applications.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Brindaban Gohain, Rituparna Chutia, Palash Dutta
Summary: Decision-making in uncertain conditions is challenging, and intuitionistic fuzzy sets play a crucial role in managing uncertainty. Distance measures of IFSs are used in various decision-making problems, and a new symmetric distance formula has been proposed for effectively determining the distance between information held by IFSs. The proposed measure follows axiomatic definitions of a distance measure and can be applied in diverse decision-making problems.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Engineering, Aerospace
Zhanhao Zhang, Fuyuan Xiao
Summary: D-S evidence theory is a general framework for reasoning with uncertainty, which combines evidence from different information sources to derive a degree of belief function. However, the disordered mass assignments from unknown sources raise the question of how to measure the difference between them. This paper proposes a novel distance-based measure called Information Volume Distance (IVD) inspired by the information volume, which not only meets the properties of distance but also proves its superiority through simulation experiments. Based on IVD, a new multi-source information algorithm is proposed for information fusion, and its effectiveness is verified by comparing it with other methods in decision-making.
CHINESE JOURNAL OF AERONAUTICS
(2023)
Article
Psychology, Multidisciplinary
Erhua Zhang, Feifan Yu, Ting Jiang, Shouzhen Zeng, Dandan Wang
Summary: In this study, a comprehensive evaluation index system for the common prosperity level (CPL) was constructed, and an evaluation model based on prospect theory, probabilistic linguistic ordered weighted distance measure, and the TOPSIS method was developed. The proposed method was applied to evaluate the CPL of Zhejiang Province as an example, and the results showed that the new evaluation framework was robust.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Zhinan Hao, Zeshui Xu, Hua Zhao, Ren Zhang
Summary: This paper proposes a context-based distance measure for intuitionistic fuzzy sets and defines a new similarity measure to enhance discrimination capability. The effectiveness of these methods is validated through a practical case study, demonstrating their fine discrimination ability and effectiveness.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Lele Zhang, Cheng Zhang, Guangdong Tian, Zhaofang Chen, Amir M. Fathollahi-Fard, Xian Zhao, Kuan Yew Wong
Summary: This paper proposes a new multi-criteria group-based decision-making (MCGDM) method based on the linguistic neutrosophic cloud (LNC) to solve the problems in previous studies and verifies the feasibility of the proposed method by solving an auto part selection problem.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Francesco Orciuoli, Enrique Herrera-Viedma
Summary: The quality of training data, especially the consistency of labels, significantly impacts the performance of Machine Learning models. This study proposes a consistency measure based on Group Decision Making's consensus value to evaluate the training data for Learning to Rank (LTR) algorithms. The research reveals a strong statistical relationship between the proposed measure and the performance of a deep neural network implementing an LTR method.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Xueling Zhou, Shengli Li, Cuiping Wei
Summary: This study explores trust network-based group decision-making and proposes an ordinal consensus measure to estimate the level of consensus. It focuses on supplementing incomplete trust networks and determining the importance weights of decision makers based on betweenness centrality and trust in-degree. In the consensus reaching process, an improved ordinal consensus measure is proposed, along with identification rules and feedback mechanisms for low consensus levels. A numerical example is provided to demonstrate the feasibility and effectiveness of the proposed model.
INFORMATION FUSION
(2024)
Article
Management
Decui Liang, Adjei Peter Darko, Zeshui Xu, Yinrunjie Zhang
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2020)
Article
Management
Decui Liang, Mingwei Wang, Zeshui Xu, Xu Chen
Summary: This study expands the classic Three-Way Decision (TWD) model by introducing the influence of regret psychology on decision-makers' risk behaviors and proposing a new risk Interval-Valued TWD model. Through simulation experiments, the impact of regret behavior on TWD is explored and the effectiveness of the new model is validated. The new model is applied to project resource allocation, improving decision flexibility under resource constraints.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Computer Science, Artificial Intelligence
Huchang Liao, Cheng Zhang, Li Luo, Zeshui Xu, Jian-Bo Yang, Dong-Ling Xu
Article
Computer Science, Artificial Intelligence
Huchang Liao, Xiaomei Mi, Zeshui Xu
FUZZY OPTIMIZATION AND DECISION MAKING
(2020)
Article
Computer Science, Artificial Intelligence
Cheng Zhang, Huchang Liao, Li Luo, Zeshui Xu
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2020)
Article
Computer Science, Artificial Intelligence
Dejian Yu, Zeshui Xu, Xizhao Wang
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2020)
Article
Computer Science, Artificial Intelligence
Xindi Wang, Xunjie Gou, Zeshui Xu
APPLIED SOFT COMPUTING
(2020)
Article
Computer Science, Artificial Intelligence
Cheng Zhang, Huchang Liao, Li Luo, Zeshui Xu
APPLIED SOFT COMPUTING
(2020)
Article
Automation & Control Systems
Yang Li, Yixin Zhang, Zeshui Xu
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2020)
Article
Computer Science, Artificial Intelligence
Chaoqun Li, Hua Zhao, Zeshui Xu
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2020)
Article
Construction & Building Technology
Mingwei Lin, Chao Huang, Zeshui Xu
SUSTAINABLE CITIES AND SOCIETY
(2020)
Article
Computer Science, Information Systems
Mingwei Wang, Decui Liang, Zeshui Xu
INFORMATION SCIENCES
(2020)
Article
Management
Bo Li, Yixin Zhang, Zeshui Xu
Summary: The concept of limited interval-valued probabilistic linguistic term sets (-IVPLTSs) is proposed to address the information loss issue in the normalization process of PLTS. Basic operation laws and aggregation operators for -IVPLTSs are provided, and the membership degree is determined by the deviation degree through a programming model. Application of the method to airline service quality evaluation is discussed to verify its rationality.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Management
Xiang Deng, Xiang Cheng, Jing Gu, Zeshui Xu
Summary: Empirical research shows that companies pursuing sustainable development have higher credit ratings and lower equity costs. However, there is no consensus on sustainable development indicators or investment decision-making methods. This study introduces a set of indicators and an optimization-based consensus model to guide investors in assessing sustainable development enterprises, contributing a new approach to multi-attribute group decision-making problems in the literature.
GROUP DECISION AND NEGOTIATION
(2021)
Article
Operations Research & Management Science
Bo Li, Yi-Xin Zhang, Ze-Shui Xu
JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA
(2020)
