A Large Group Decision-Making Method Based on Fuzzy Preference Relation

Zhou, Shenghai; Xu, Xuanhua; Zhou, Yanju; Chen, Xiaohong

doi:10.1142/s021962201550039x

Cited by 15 publications

(5 citation statements)

References 30 publications

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“…With the increasing attention on the GSS issues, the scale of decision makers involved the decision-making process is also growing significantly in practice. In general, a GDM problem, in which the number of decision makers exceeds 20, can constitute a large-scale GDM issue [57,58]. Hence, this paper aims to develop a novel approach for the large-scale GSS, which can be implemented by four processes; namely, the clustering process of large-scale decision makers, aggregation process of individual evaluation information, determination process of the criteria weights, and ranking process using the q-RIVOF-MULTIMOORA method.…”

Section: The Proposed Large-scale Gss Approachmentioning

confidence: 99%

Large-Scale Green Supplier Selection Approach under a Q-Rung Interval-Valued Orthopair Fuzzy Environment

et al. 2019

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As enterprises pay more and more attention to environmental issues, the green supply chain management (GSCM) mode has been extensively utilized to guarantee profit and sustainable development. Green supplier selection (GSS), which is a key segment of GSCM, has been investigated to put forward plenty of GSS approaches. At present, enterprises prefer to construct the large-scale teams of decision makers to obtain the more reasonable ranking results during GSS process. However, the existing methods pay little attention to the large-scale GSS procedure. To investigate the GSS issue with a large-scale group of decision makers, a new GSS approach under a q-rung interval-valued orthopair fuzzy environment is developed. The q-rung interval-valued orthopair fuzzy numbers are introduced to describe the evaluation information of green suppliers. Combined with a clustering approach and several clustering principles, the large-scale decision makers are divided into several subgroups. Next, the similarity measures between the evaluation matrices are computed to determine the weights of subgroups, and the collective evaluation information can be obtained using the q-rung interval-valued orthopair fuzzy aggregation operator. According to the weighted entropy measure, the weights of criteria are calculated; then, the q-rung interval-valued orthopair fuzzy multi-objective optimization on the basis of ratio analysis plus the full multiplicative form (q-RIVOF-MULTIMOORA) method is constructed to determine the best green supplier. At last, a practical GSS example is applied to show the feasibility of the proposed approach, and the sensitivity and comparative analyses indicate that for the large-scale GSS issues, the proposed approach can obtain the more robust and reasonable ranking results.

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Section: The Proposed Large-scale Gss Approachmentioning

confidence: 99%

Large-Scale Green Supplier Selection Approach under a Q-Rung Interval-Valued Orthopair Fuzzy Environment

et al. 2019

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“…It is worth highlighting Zhou et al (2017) finding for whom group decision methods are always drawing attention. Many significant decision-making types of research have been and continue to be developed, indicating that existing decision-making methods concentrate mainly on multiattribute processes, group decisions, linguistic preference information and multi-stage decisions.…”

Section: Introductionmentioning

confidence: 99%

Problem Structuring and Strategic Sorting Model for Financial Organizations

Schotten

Morais²

2023

EJBMR

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Organizations adopt specific decision-making models that do not consider the intrinsic strategic aspects of the process, such as culture, target audience, decision-makers, organizational environment, and strategic goals. This article aims to present a group decision model that links the structuring of the problem to strategic organizational goals to work with the uncertainties of the process, helping decision-makers search for information and direct decision-making, allowing actors a broad and systemic vision linked to organizational goals. This model was developed for application in credit analysis and granting in financial organizations. The study is proven by the possibility of applying organizational strategy to the decision process using a problem-structuring model and the multi-criteria decision model. The model ensures that the paths reflect the corporate reality, and the vision regarding decision problems adopted serves the process, classifying the decision into answers representing the decision-maker's perception following the strategic aspects.

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“…en, using several linguistic terms to express evaluation information is more scientific. In this case, the hesitant fuzzy set based on probability was proposed as the probability-based hesitant fuzzy set (PHFS) [8,9], and probabilistic linguistic term set (PLTS) by Qi Pang et al is proposed to describe the object more effectively [10]. e PLTSs allow the DMs to give several linguistic terms, serving as the value of a linguistic variable, which enriches the flexibility of the expression of linguistic information.…”

Section: Introductionmentioning

confidence: 99%

A Novel Group Decision‐Making Method Based on Generalized Distance Measures of PLTSs on E‐Commerce Shopping

et al. 2021

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In multiattribute group decision-making (MAGDM), due to quantity, fuzziness, and complexity of evaluation linguistic information on commodities, traditional distance measures need to be extended to the integration of evaluation information under a multigranular probabilistic linguistic environment. A more reasonable method is proposed to deal with the missing value in the evaluation information. On the basis of the generalized distance measures and filling in the missing evaluation information, some novel distance measures between two multigranular probabilistic linguistic term sets (PLTSs) are presented in this paper. Based on these distance measures, three extended decision-making (DM) algorithms based on TOPSIS, the extended TOPSIS, and VIKOR are proposed, which are MGPL-TOPSIS, MGPL-ETOPSIS, and MGPL-VIKOR, respectively. The case analyses on purchasing a car are provided to illustrate the application of the extended multiattribute group decision-making (MAGDM) algorithms. Then, sensitivity analyses based on PT are proposed as well. In particular, the extended TOPSIS method is presented. These results demonstrate the novelty, feasibility, and rationality of the distance measures between two multigranular PLTSs proposed in this paper.

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A Large Group Decision-Making Method Based on Fuzzy Preference Relation

Cited by 15 publications

References 30 publications

Large-Scale Green Supplier Selection Approach under a Q-Rung Interval-Valued Orthopair Fuzzy Environment

Large-Scale Green Supplier Selection Approach under a Q-Rung Interval-Valued Orthopair Fuzzy Environment

Problem Structuring and Strategic Sorting Model for Financial Organizations

A Novel Group Decision‐Making Method Based on Generalized Distance Measures of PLTSs on E‐Commerce Shopping

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