DSmT-Based Group DEMATEL Method with Reaching Consensus

Du, Yuyue; Zhou, Wen

doi:10.1007/s10726-019-09641-6

Cited by 11 publications

(7 citation statements)

References 62 publications

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“…Thus, some known methods (see Table 1) for PLTS decisionmaking and some smart extensions of PLTSs [3,23,34,53,60] could be also restructured by the reformulated PLTSs in this work. In the future work, we would attempt to investigate the extended or improved DEMATEL methods [1,[10][11][12]47] using the reformulated PLTSs.…”

Section: Discussionmentioning

confidence: 99%

“…In the recent, the methodology about DEMATEL has been deepen or strengthen by the facilitating of various scenarios [2,4,6,8,18,20,27,46] and the combinations with the pertaining methodologies such as the analytic network process (ANP) [47], Association Rule Mining (ARM) [1], and so on. A newly emerging direction is about the DEMATEL with both subjectivity and objectivity [10,11]. In [11], with the basic belief assignment function and Dezert-Smarandache theory in deriving the group initial direct relation matrix, group DEMATEL with the combination of the subjective (experts') and the objective (pair-factors') assessments can reach a prescribed consensus level with some feedback mechanism.…”

Section: Some Essentials On the Classical Dematelmentioning

confidence: 99%

“…A newly emerging direction is about the DEMATEL with both subjectivity and objectivity [10,11]. In [11], with the basic belief assignment function and Dezert-Smarandache theory in deriving the group initial direct relation matrix, group DEMATEL with the combination of the subjective (experts') and the objective (pair-factors') assessments can reach a prescribed consensus level with some feedback mechanism. Notably, the linguistic DEMATEL [8,20,46] methods are shown to be much effective and reasonable in applications.…”

Section: Some Essentials On the Classical Dematelmentioning

confidence: 99%

“…By the classical DEMATEL method, we can get the segmental total relation matrix for each segmental initial direct relation matrix, i.e., T (1) p = ⎛ ⎝ (11).…”

Section: Stepmentioning

confidence: 99%

“…) in PLTS form to facilitate the proposed DEMATEL method.STEP 2: The determination of the attribute weights by the PLTS-based DEMATEL method. First, with the PLTSs based initial direct relation matrix we can obtain 211 segmental initial direct relation matrices 2 coupled with probabilities, from which the corresponding segmental total relation matrices can be calculated. By calculation, the synthesized total relation matrix T = Then the synthesized prominences for the attributes a 1 , a 2 , a 3 , a 4 are, respectively, 9.7654, 10.0033, 10.6243, 10.4290.…”

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confidence: 99%

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Decision-making based on probabilistic linguistic term sets without loss of information

2022

Complex Intell. Syst.

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Probabilistic linguistic term set (PLTS) provides a much more effective model to compute with words and to express the uncertainty in the pervasive natural language by probability information. In this paper, to avoid loss of information, we redefine the classical probabilistic linguistic term sets (PLTSs) by multiple probability distributions from an ambiguity perspective and present some basic operations using Archimedean t-(co)norms. Different from the classical PLTSs, the reformulated PLTSs are not necessarily normalized beforehand for further investigations. Moreover, the multiple probability distributions based PLTSs facilitate the incorporation of the different attitudes of the DMs in their score values and the deviation, and thus the comparisons. Then the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is extended to the reformulated PLTS frame by incorporating probability information. With these newly developed elements in the reformulated PLTSs, a DEMATEL based multiple attributes decision-making is proposed. The illustrative example and comparison analysis show that the method over the reformulated PLTSs is feasible and valid, and has the advantage in processing without any information loss (i.e., without normalization) and fully exploration of the DMs-preference and knowledge.

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Section: Discussionmentioning

confidence: 99%

Section: Some Essentials On the Classical Dematelmentioning

confidence: 99%

Section: Some Essentials On the Classical Dematelmentioning

confidence: 99%

“…By the classical DEMATEL method, we can get the segmental total relation matrix for each segmental initial direct relation matrix, i.e., T (1) p = ⎛ ⎝ (11).…”

Section: Stepmentioning

confidence: 99%

mentioning

confidence: 99%

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Decision-making based on probabilistic linguistic term sets without loss of information

2022

Complex Intell. Syst.

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An improved DEMATEL method for multigranular hesitant fuzzy linguistic environment

You

Hou

2021

Int J of Intelligent Sys

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The decision‐making trial and evaluation laboratory (DEMATEL) is widely recognized as an effective way to identify the key elements of a complex system and establish a causal relationship between the criteria. To extend the effective use of the DEMATEL method in multicriteria group decision making problems, we propose some improvements for traditional DEMATEL. The direct‐influence matrix is a pairwise comparison matrix of the influence level between criteria, which is the basis of the DEMATEL method. Instead of utilizing crisp numbers to assess the level of direct‐influence, each expert provides evaluation with hesitant fuzzy linguistic term sets (HFLTSs) based on an individual linguistic term set, that is, multigranular hesitant fuzzy linguistic term sets. To obtain a reasonable and satisfying collective DIM, we propose the expert weights model based on the similarity and entropy of HFLTSs and introduce the consensus reach process that is an iterative and dynamic process of modifying experts’ opinions more similar or closer to obtain the satisfying group solution. Considering the increasing complexity of the decision environment and the intricate relationship between the criteria, the Otsu method is applied to determine the threshold value of the total‐influence matrix that is the sum of the direct influence and indirect influence and thus eliminate some unnecessary influence. Finally, the feasibility of the improved method is illustrated by an example of information warfare and analysis. Comparative results are presented to show the effectiveness and advantages of the proposed method.

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Strategic Decision-Making Enhancement through Graph-Optimized DEMATEL-AHP with Pruning

Shi,

Yu,

Mei

2024

Group Decis Negot

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DSmT-Based Group DEMATEL Method with Reaching Consensus

Cited by 11 publications

References 62 publications

Decision-making based on probabilistic linguistic term sets without loss of information

Decision-making based on probabilistic linguistic term sets without loss of information

An improved DEMATEL method for multigranular hesitant fuzzy linguistic environment

Strategic Decision-Making Enhancement through Graph-Optimized DEMATEL-AHP with Pruning

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