T-spherical fuzzy TODIM method for multi-criteria group decision-making problem with incomplete weight information

Ju, Yanbing; Liang, Yuanyuan; Luo, Chao; Dong, Peiwu; González, Ernesto D.R. Santibañez; Wang, Aihua

doi:10.1007/s00500-020-05357-x

Cited by 65 publications

(28 citation statements)

References 36 publications

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“…Guleria and Bajaj (2021) progressed aggregation operators for T-SF soft sets to tackle decision-making issues. Ju et al (2021) gave impetus to a T-SF TODIM (i.e. interactive and multiple-criteria decision making in Portuguese) technique for facilitating group decision-making tasks under incomplete preference information.…”

Section: T-spherical Fuzziness With Decision-making Applicationsmentioning

confidence: 99%

A Novel T-Spherical Fuzzy REGIME Method for Managing Multiple-Criteria Choice Analysis Under Uncertain Circumstances

Chen¹

2021

Informatica

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The theory of T-spherical fuzzy (T-SF) sets possesses remarkable capability to manage intricate uncertain information. The REGIME method is a well-established technique concerning discrete choice analysis. This paper comes up with a multiple-criteria choice analysis approach supported by the REGIME structure for manipulating T-SF uncertainties. This paper constructs newcreated measurements such as superiority identifiers and guide indices for relative attractiveness and fittingness, respectively, between T-SF characteristics. This study evolves the T-SF REGIME I and II prioritization procedures for decision support. The application and comparative studies exhibit the effectiveness and favorable features of the propounded T-SF REGIME methodology in real decisions.

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Section: T-spherical Fuzziness With Decision-making Applicationsmentioning

confidence: 99%

A Novel T-Spherical Fuzzy REGIME Method for Managing Multiple-Criteria Choice Analysis Under Uncertain Circumstances

Chen¹

2021

Informatica

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“…Garg et al [38] introduced power aggregation operators for the T-spherical fuzzy sets (T-SFSs). Ju et al [39] defined the T-SF interaction aggregation operators and based on these operators they developed TODIM method under T-SF environment. Chen et al [40] studied on some generalized T-Spherical and group-Generalized fuzzy geometric aggregation operators with MADM method.…”

Section: Introductionmentioning

confidence: 99%

Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making

Karaaslan

Dawood

2021

Complex Intell. Syst.

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Complex fuzzy (CF) sets (CFSs) have a significant role in modelling the problems involving two-dimensional information. Recently, the extensions of CFSs have gained the attention of researchers studying decision-making methods. The complex T-spherical fuzzy set (CTSFS) is an extension of the CFSs introduced in the last times. In this paper, we introduce the Dombi operations on CTSFSs. Based on Dombi operators, we define some aggregation operators, including complex T-spherical Dombi fuzzy weighted arithmetic averaging (CTSDFWAA) operator, complex T-spherical Dombi fuzzy weighted geometric averaging (CTSDFWGA) operator, complex T-spherical Dombi fuzzy ordered weighted arithmetic averaging (CTSDFOWAA) operator, complex T-spherical Dombi fuzzy ordered weighted geometric averaging (CTSDFOWGA) operator, and we obtain some of their properties. In addition, we develop a multi-criteria decision-making (MCDM) method under the CTSF environment and present an algorithm for the proposed method. To show the process of the proposed method, we present an example related to diagnosing the COVID-19. Besides this, we present a sensitivity analysis to reveal the advantages and restrictions of our method.

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“…Multicriteria group decision making (MCGDM) is an important branch of modern decision science 1 . And the expression of evaluation value plays a crucial role in solving MCGDM problem.…”

Section: Introductionmentioning

confidence: 99%

“…Multicriteria group decision making (MCGDM) is an important branch of modern decision science. 1 And the expression of evaluation value plays a crucial role in solving MCGDM problem. But in the evaluation process, the experts may not be able to provide crisp numerical information because of limited knowledge or indecision.…”

Section: Introductionmentioning

confidence: 99%

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Belief interval interpretation of probabilistic linguistic term sets and a visual method for solving the preference problem in multicriteria group decision making

et al. 2021

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For the application of probabilistic linguistic term sets (PLTSs) in multicriteria group decision making (MCGDM), this paper aims to develop an approach to solve the preference problem. First, a belief interval interpretation of PLTSs is presented, which makes it possible to represent the mathematical operations on PLTSs as the operations on belief intervals. This can reduce the uncertainty degree of information caused by the differentiated knowledge and cognitions of decision makers. Then, two methods of belief interval measure are proposed. One is the distance measure, which is utilized to obtain the criteria weights of each decision maker, so as to recognize the preferences for criteria. The other is the probability degree, which is used to get the partial order relation for alternatives of each decision maker, and to recognize the preferences for alternatives. Next, employing Dempster's rule of combination and graph theory, a visual algorithm is constructed to solve the MCGDM preference problem in the application of PLTSs. Finally, an illustrative example for the selection of emergency materials deployment scheme and the comparative analyses are shown to demonstrate the effectiveness of the proposed method.

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T-spherical fuzzy TODIM method for multi-criteria group decision-making problem with incomplete weight information

Cited by 65 publications

References 36 publications

A Novel T-Spherical Fuzzy REGIME Method for Managing Multiple-Criteria Choice Analysis Under Uncertain Circumstances

A Novel T-Spherical Fuzzy REGIME Method for Managing Multiple-Criteria Choice Analysis Under Uncertain Circumstances

Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making

Belief interval interpretation of probabilistic linguistic term sets and a visual method for solving the preference problem in multicriteria group decision making

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