Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making

Zhang, Zhen; Guo, Chonghui; Martínez, Luis

doi:10.1109/tsmc.2016.2560521

Cited by 327 publications

(95 citation statements)

References 56 publications

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“…Particularly because of the introduction of qualitative evaluation, using linguistic methods to process qualitative evaluation becomes more and more popular [11,15]. In these methods, fuzzy set is a widely used representation of qualitative information.…”

Section: Fuzzy Numbers and Their Operationsmentioning

confidence: 99%

Supply chain downstream strategic cost evaluation using L-COPRAS method in cross-border E-commerce

Feng¹,

Ma²,

Yong³

et al. 2017

IJCIS

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Cross-border E-commerce has grown exponentially in the past decade in global market. To gain global competition in product-convergent markets, China's over 200 thousands cross-border E-commerce businesses have focused more on the service and cost control of supply chain downstream. In this study, we analyse three strategic cost control measures, summarise ten evaluation criteria for cost and develop an evaluation method for cost control using an extended COmplex PRoportion ASsessment (COPRAS) method, named L-COPRAS. This method is proposed to deal with uncertain or linguistic expression on strategic cost measures with varied weights to different alternatives. A case study of helping a Chinese E-commerce business to select strategic cost control measure on supply chain downstream is conducted. This study indicates that the proposed method is able to deal flexibly with uncertain information in supply chain downstream strategic cost evaluation.

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Section: Fuzzy Numbers and Their Operationsmentioning

confidence: 99%

Supply chain downstream strategic cost evaluation using L-COPRAS method in cross-border E-commerce

Feng¹,

Ma²,

Yong³

et al. 2017

IJCIS

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show abstract

“…These extended concepts and models support the construction of normative description, operation and aggregation of linguistic evaluation information, and improve the efficiency of solving LMAGDM problems. Furthermore, as the LMAGDM problems are getting complicated, in order to facilitate the integration of linguistic evaluation information provided by group experts, scholars have extended statistical methods such as probability theory, possibility theory, and proportional concepts to linguistic variables based on hesitant fuzzy sets [5], and proposed various corresponding distribution linguistic term sets (DLTSs) [6][7][8][9][10][11]. Decision-makers can apply these DLTSs based on the characteristics of MAGDM problems and linguistic evaluation information from experts.…”

Section: Introductionmentioning

confidence: 99%

The Linguistic Interval-Valued Intuitionistic Fuzzy Aggregation Operators Based on Extended Hamacher T-Norm and S-Norm and Their Application

2020

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Linguistic interval-valued intuitionistic fuzzy sets, as an extension of interval-valued intuitionistic fuzzy sets, have strong practical value in the management of complex uncertainty system with qualitative evaluation information. This study focuses on the development of several linguistic interval-valued intuitionistic fuzzy Hamacher (LIVIFH) aggregation operators based on the extended Hamacher t-norm and s-norm. First, the extended Hamacher t-norm and s-norm, which are applicable to linguistic information environment, are applied to define the linguistic interval-valued intuitionistic fuzzy Hamacher operational laws. Second, based on the proposed operational laws, this study defines the linguistic interval-valued intuitionistic fuzzy Hamacher weighted average (LIVIFHWA) operator and the linguistic interval-valued intuitionistic fuzzy Hamacher weighted geometric (LIVIFHWG) operator, and then investigates their properties. Furthermore, the degeneracy and monotonicity of the proposed operators with respect to the adjustable parameter are explored. Finally, a multiple attribute group decision-making (MAGDM) approach is developed based on the proposed LIVIFH aggregation operators, and then this approach is applied to a supplier selection problem. Parameter analysis indicates that the adjustable parameter in the proposed LIVIFH aggregation operators could reflect the attitudes of decision makers. The LIVIFHWA operator would be more appropriate to optimistic decision makers, and the LIVIFHWG operator to pessimistic decision makers. In addition, as the adjustable parameter increasing, both attitudes tend to be neutral. The proposed method is also compared with two other approaches to show its feasibility and efficiency.Keywords: extended Hamacher t-norm and s-norm; linguistic interval-valued intuitionistic fuzzy set; linguistic interval-valued intuitionistic fuzzy Hamacher operators; multi-attribute group decision-making

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“…All these distributionbased hesitant fuzzy linguistic information have successfully served to solve decision-making problems for their specified backgrounds. Among these distribution-based hesitant fuzzy linguistic information types, linguistic distribution assessment has received increasing attention from many scholars [13][14][15]. Our interest in this paper is focused on GDM problem with information represented by means of linguistic distribution assessments.…”

Section: Introductionmentioning

confidence: 99%

A New Distance-Based Consensus Reaching Model for Multi-Attribute Group Decision-Making with Linguistic Distribution Assessments

Yao¹

2019

IJCIS

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A B S T R A C TThis paper proposes a novel consensus reaching model for multi-attribute group decision making (MAGDM) with information represented by means of linguistic distribution assessments. Firstly, some drawbacks of the existing distance measures for linguistic distribution assessments are analyzed by using numerical counterexamples, and a new distance measure is proposed for linguistic distribution assessments in order to alleviate the limitations. Then, a novel consensus reaching model is developed for MAGDM with linguistic distribution assessment, in which a feedback mechanism is devised by combining an identification rule and an optimization-based model. In this consensus framework, the model allows experts who are identified to modify their preferences to provide additional preference information about linguistic distribution assessments in each iteration. Meanwhile, by solving an optimization model, the consensus reaching model can automatically generate preference adjustment suggestions for experts. Moreover, the optimization model solved in each iteration minimizes the deviation between the adjusted values and initial preferences, which in turn leads to the good performance of the proposed consensus reaching model in preserving the initial preference information. Finally, an illustrative example shows that the proposed consensus reaching model is feasible and effective, and a comparative analysis highlights the advantages and characteristics of the model.

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Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making

Cited by 327 publications

References 56 publications

Supply chain downstream strategic cost evaluation using L-COPRAS method in cross-border E-commerce

Supply chain downstream strategic cost evaluation using L-COPRAS method in cross-border E-commerce

The Linguistic Interval-Valued Intuitionistic Fuzzy Aggregation Operators Based on Extended Hamacher T-Norm and S-Norm and Their Application

A New Distance-Based Consensus Reaching Model for Multi-Attribute Group Decision-Making with Linguistic Distribution Assessments

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