Group Decision-Making with Distance Induced Fuzzy Operators

Gong, Chengju; Jiang, Liwen; Hou, Li Bo

doi:10.1007/s40815-021-01146-2

Cited by 5 publications

(3 citation statements)

References 54 publications

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“…By utilizing the defuzzification process, the fuzzy values are transformed and output. In this paper, the fuzzy values are defuzzified using Equation (11) and the group decision matrix is modified in a close step [33].…”

Section: Language Variables Affiliation Functionmentioning

confidence: 99%

An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making

Lü

2023

Sustainability

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The adoption of Environmental, Social, and Governance (ESG) to measure the green development, social responsibility, and public interest of companies is a commonly accepted theme and approach in the industry and academia at present. As ESG assessment is characterized by heterogeneity of subjects, complexity of contents, diversity of scales, and uncertainty of weights, it has led to the variability of ESG assessment results given by different assessment organizations in the same company, which has attracted a lot of criticism. This paper proposes a group decision-making method based on the preferences of multiple subjects to solve the problem of heterogeneity of subjects in ESG assessment. Specifically, for the given ESG evaluation data, the first step is to identify the preferences of subjects and structure the initial group matrix; secondly, the fuzzy inference system is employed to mine the hidden preference information; further, the initial group matrix is revised using the preference information; and finally, the TOPSIS method is applied to aggregate the information and obtain the final ESG score and ranking of each company. This study was tested using statistics from 30 companies released by Harvest Fund in May 2021, which verified the validity and advantages of the method proposed in this paper. The proposed method integrates the preferences of heterogeneous subjects and mines the possible hidden preference information, which increases the interpretation of the information contained in the original ESG data and facilitates the achievement of group consensus.

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Section: Language Variables Affiliation Functionmentioning

confidence: 99%

An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making

Lü

2023

Sustainability

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“…In the field of MADM, information measures have always been a highly important component in various kinds of fuzzy environments, and there are numerous approaches for making decisions based on information measures [12][13][14][15]. For example, Xuecheng [16] constructed the FS measures of distance, entropy, and similarity and examined their correlation.…”

Section: Introductionmentioning

confidence: 99%

Rainfall analysis using FUCOM weighted logarithmic distance measure based on probabilistic dual hesitant preference values

Kumar,

Bhardwaj

et al. 2024

Preprint

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Rainfall analysis is an area of primary concern because of the involved uncertainties. These uncertainties may be pertaining to the unambiguous nature of data, intrinsic errors involved due to rainfall randomness etc. To tackle such situations of uncertainties, probabilistic dual hesitant sets (PDHFSs) are the best fit. The information gathered in the form of PDHFSs not only contains the aspect of surety/unsurety, but also considers the associated probable information. Thus, utilizing the advantages of PDHFSs, this article focusses on developing TOPSIS and CODAS based on weight determination using FUCOM technique. Further, the proposed methodology is applied on a problem based on rainfall analysis and a detailed comparison analysis is done with the existing methodologies.

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“…At present, many aggregation operators have been developed to aggregate information, which can be briefly classified into the following two categories: one is the quantitative aggregation operators; the other is the qualitative aggregation operators. For the former: according to the definition domain of aggregation operators, it can be divided into the real number aggregation operators (Yager 1988;Yager and Xu 2006;Wu et al 2009;Ji et al 2021;Xian et al 2020), the fuzzy aggregation operators (Lin and Jiang 2014;Casanovas et al 2015;Yi et al 2021;Gong et al 2022) and the intuitionistic fuzzy aggregation operators (Meng et al 2015;Jana et al 2020;Seikh and Mandal 2021;Kumar and Chen 2022). For the latter: we usually use the linguistic variables to denote the qualitative preference relations (Herrera and Herrera-Viedma 2000a;Herrera et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Some interactive uncertain linguistic aggregation operators based on Shapley function and their application

Zhang¹,

Meng

2022

MSE

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In this paper, two uncertain linguistic aggregation operators named the induced uncertain linguistic hybrid Shapley arithmetical averaging (IULHSAA) operator and the induced uncertain linguistic hybrid Shapley geometric mean (IULHSGM) operator are defined. These operators do not only globally consider the importance of the elements and their ordered positions but overall reflect the correlations between them, respectively. Furthermore, to reduce the complexity of solving a fuzzy measure, the induced uncertain linguistic hybrid 2-additive Shapley arithmetical averaging (IULHASAA) operator and the induced uncertain linguistic hybrid 2-additive Shapley geometric mean (IULHASGM) operator are defined. Moreover, if the weight information of experts and attributes is incompletely known, models for the optimal fuzzy measures are established. Meanwhile, an approach to multi-attribute group decision making under uncertain linguistic environment is developed, which considers the correlative characteristics between experts as well as between attributes. Finally, a numerical example is provided to illustrate the developed procedure.

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Group Decision-Making with Distance Induced Fuzzy Operators

Cited by 5 publications

References 54 publications

An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making

An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making

Rainfall analysis using FUCOM weighted logarithmic distance measure based on probabilistic dual hesitant preference values

Some interactive uncertain linguistic aggregation operators based on Shapley function and their application

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