Risk appetite dual hesitant fuzzy three-way decisions with TODIM

Liang, Decui; Wang, Mingwei; Zhang, Xu; Liu, Dun

doi:10.1016/j.ins.2018.12.017

Cited by 105 publications

(21 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Besides, the decision-making methods are extended in the neutrosophic set environment [26][27][28], which try to promote the information expression level. More types of group decision-making are explored, such as the methods based on granular computing [29][30][31].…”

Section: Group Decision-making and Decision Support Systemmentioning

confidence: 99%

Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making

et al. 2020

View full text Add to dashboard Cite

The expert is a vital role in multicriteria decision-making, which provides source decision opinions. In the existing group decision-making activities, the selection of experts is usually conducted artificially, which relies on personal subjective experience. It has been the urgent demand for an automatic selection of experts, which can help to determine their weights for the follow-up decision calculation. In this paper, an expert classification method is proposed to solve the problem. First, the CatBoost classification algorithm is improved by integrating the 2-tuple linguistic, which can effectively extract the features of samples. Second, the framework of the expert classification is designed. The flow combines the expert resume collection, expert classification, and database update. Third, a decision-making case is analyzed for the expert selection issue. The experiment and result indicate that the proposed classifier performs better than the classic methods. The proposed classification method of the decision experts can support the automatic and intelligent operation of the decision-making activities.

show abstract

Section: Group Decision-making and Decision Support Systemmentioning

confidence: 99%

Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Ji et al 59 combined dual Pythagorean hesitant fuzzy with TODIM method to investigate the issue of personal default risk. Liang et al 60 thought the existing studies about three‐way decisions hardly consider risk preference, so they came up with dual hesitant fuzzy three‐way in line with TODIM method. Lu et al 61 kept TODIM method, uncertain language scale, and triangular fuzzy number tying together for assessing the environmental influence of pumped storage power stations.…”

Section: Introductionmentioning

confidence: 99%

CPT‐TODIM method for bipolar fuzzy multi‐attribute group decision making and its application to network security service provider selection

Zhao

Wei

et al. 2021

Int J Intell Syst

View full text Add to dashboard Cite

Network security is a very important issue in recent years. For many new or traditional enterprises, utilizing internet to store and analyze data has become an indivisible part of their production and operation. But many enterprises do not have enough ability to ensure the security of information, so the choice of the optimal network security service provider has become a practical problem faced by many ordinary companies. In this paper, we establish bipolar fuzzy interactive multi‐criteria decision‐making (TODIM) based on the cumulative prospect theory (CPT‐TODIM) model for dealing with the problem of multi‐attribute group decision making, and this special model is applied to the field of network security about the issue of network security service provider selection. The second and third parts of this paper introduce the knowledge of bipolar fuzzy and the initial CPT‐TODIM method. In the fourth part, we discuss the bipolar fuzzy CPT‐TODIM model in detail. In the last two parts of this article, the method proposed in this paper is applied to the field of network security provider selection and compared with other methods. The results show that bipolar fuzzy CPT‐TODIM method with unique advantages in some aspects is reasonable and effective, and can be applied to more uncertain decision fields. It is hoped that this method can help enterprises make better decisions.

show abstract

“…The study of typical hesitant fuzzy connectives plays an indispensable role in logical systems, by enabling to model solutions for the hesitant fuzzy multicriteria decision‐making (MCDM) problems, such as hesitant fuzzy linguistic information 8 and hesitant fuzzy linguistic terms sets 9,10 . As basic logical operations, implication operations have been widely used in the narrow sense to formalize concepts, such as similarity degrees, 11,12 coefficient correlation, 13,14 consensus measures, 15 and integrated to fuzzy subsethood measures 16–18 .…”

Section: Introductionmentioning

confidence: 99%

Strategies on admissible total orders over typical hesitant fuzzy implications applied to decision making problems

et al. 2021

View full text Add to dashboard Cite

Multi Expert‐Multi Criteria Decision Making (ME‐MCDM) problems have been well explored on hesitant fuzzy environments dealing with membership degrees as subsets which do not necessarily have the same cardinality. Admissible (total) orders collaborate by reducing the collapse in the ranking of alternatives related to preference relations. In such context, three classes of admissible orders are presented in a non‐restrictive way, integrating the concepts of linearity and cardinality and providing support to the comparison between two typical hesitant fuzzy elements. In the sense of hesitant fuzzy logic, the study of fuzzy operators and their main properties is extended considering the admissible linear orders. Namely, the typical hesitant fuzzy aggregation functions, negations and implication functions are discussed mainly related to their (iso/anti)tonicity properties w.r.t. these admissible orders. An algorithmic procedure is introduced illustrating our strategy to solve an ME‐MCDM problem, by selecting a Computer Integrating Manufacturing software and making use of the achieved theoretical results.

show abstract

Risk appetite dual hesitant fuzzy three-way decisions with TODIM

Cited by 105 publications

References 36 publications

Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making

Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making

CPT‐TODIM method for bipolar fuzzy multi‐attribute group decision making and its application to network security service provider selection

Strategies on admissible total orders over typical hesitant fuzzy implications applied to decision making problems

Contact Info

Product

Resources

About