Unbalanced double hierarchy linguistic group decision-making method based on SWARA and S-ARAS for multiple attribute group decision-making problems

Teng, Fei; Shen, Mengjiao

doi:10.1007/s10462-022-10198-1

Cited by 7 publications

(1 citation statement)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MAGDM is an important component of the decision-making field, mainly solving limited alternative decision-making problems containing multiple attributes [ [29] , [30] , [31] , [32] , [33] , [34] , [35] ]. Its characteristic is to evaluate a limited number of alternative solutions through a certain method based on the evaluation information provided by the DMs, and then obtain a ranking [ [36] , [37] , [38] , [39] , [40] , [41] , [42] , [43] , [44] ].…”

Section: Introductionmentioning

confidence: 99%

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

Nie

2024

Heliyon

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

Nie

2024

Heliyon

View full text Add to dashboard Cite

A three-way decisions approach based on double hierarchy linguistic aggregation operators of strict t-norms and t-conorms

Zhong

Chen

et al. 2023

Int. J. Mach. Learn. & Cyber.

View full text Add to dashboard Cite

With the massive increase in uncertainty of linguistic information in realistic decision making, there is a great challenge for people to make decisions in the complex linguistic environment. To overcome this challenge, this paper proposes a three-way decisions method based on aggregation operators of strict t-norms and t-conorms under double hierarchy linguistic environment. By mining the double hierarchy linguistic information, strict t-norms and t-conorms are introduced to define the operation rules and their operation examples are also given. Then, the double hierarchy linguistic weighted average (DHLWA) operator and weighted geometric (DHLWG) operator are proposed based on strict t-norms and t-conorms. Besides, some of their important properties are also proved and derived, such as idempotency, boundedness and monotonicity. Next, DHLWA and DHLWG are integrated with three-way decisions to construct our three-way decisions model. Specifically, the double hierarchy linguistic decision theoretic rough set (DHLDTRS) model is constructed by incorporating the computational model of expected loss with DHLWA and DHLWG, which can consider the various decision attitudes from decision makers more adequately. Furthermore, we also propose a novel entropy weight calculation formula to improve the entropy weight method for obtaining the weights more objectively, and integrate grey relational analysis (GRA) method to calculate the conditional probability. Based on the Bayesian minimum-loss decision rules, the solving method of our model is also propounded and the corresponding algorithm is designed. Finally, an illustrative example and experimental analysis are presented, which can validate the rationality, robustness as well as superiority of our method.

show abstract

An Improved ARAS Approach with T-Spherical Fuzzy Information and Its Application in Multi-attribute Group Decision-Making

Wang,

Xu,

Feng

et al. 2024

Int. J. Fuzzy Syst.

View full text Add to dashboard Cite

Unbalanced double hierarchy linguistic group decision-making method based on SWARA and S-ARAS for multiple attribute group decision-making problems

Cited by 7 publications

References 44 publications

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

A three-way decisions approach based on double hierarchy linguistic aggregation operators of strict t-norms and t-conorms

An Improved ARAS Approach with T-Spherical Fuzzy Information and Its Application in Multi-attribute Group Decision-Making

Contact Info

Product

Resources

About