Integrated linguistic entropy weight method and multi-objective programming model for supplier selection and order allocation in a circular economy: A case study

Feng, Jianghong; Gong, Zongrong

doi:10.1016/j.jclepro.2020.122597

Cited by 90 publications

(37 citation statements)

References 64 publications

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“…However, few articles talk about the combination of Internet public opinion and MCDM method. MCDM is often used in the research of supplier problems ( Alidoosti et al, 2021 , Ar et al, 2020 , Feng and Gong, 2020 , Hong and Mwakalonge, 2020 , Mina et al, 2021 ). However, a few scholars apply MCDM to the field of Internet public opinion.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Liu

et al. 2022

Information Processing & Management

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In the period of Corona Virus Disease 2019 (COVID-19), millions of people participate in the discussion of COVID-19 on the Internet, which can easily trigger public opinion and threaten social stability. This paper creatively proposes a multi-stage risk grading model of Internet public opinion for public health emergencies. On the basis of general public opinion risk grading analysis, the model continuously pays attention to the risk level of Internet public opinion based on the time scale of regular or major information updates. This model combines Analytic Hierarchy Process Sort II (AHPSort II) and Swing Weighting (SW) methods and proposes a new Multi-Criteria Decision Making (MCDM) method – AHPSort II-SW. Intuitionistic fuzzy number and linguistic fuzzy number are introduced into the model to evaluate the criteria that cannot be quantified. The multi-stage model is tested using more than 2,000 textual data about COVID-19 collected from Microblog, a leading social media platform in China. Seven public opinion risk assessments were conducted from January 23 to April 8, 2020. The empirical results show that in the early COVID-19 outbreak, the risk of public opinion is more serious on macroscopic view. In details, the risk of public opinion decreases slowly with time, but the emergence of important events may still increase the risk of public opinion. The analysis results are in line with the actual situation and verify the effectiveness of the method. Comparative analysis indicates the improved method is proved to be superior and effective, sensitivity analysis confirms its stability. Finally, management suggestions was provided, this study contributes to the literature on public opinion risk assessment and provides implications for practice.

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Section: Literature Reviewmentioning

confidence: 99%

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Liu

et al. 2022

Information Processing & Management

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“…e entropy weight method is adopted to determine the weight of each index, and the following steps are adopted [45,46]:…”

Section: Entropy Weight Methods To Determine Weightmentioning

confidence: 99%

Dynamic Simulation of Low‐Carbon Competitiveness from the Perspective of Circular Economy

Luo

2021

Complexity

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In accordance with the requirements of the circular economy in Guangxi (of PRC) and the characteristics of the drivers of low-carbon competitiveness in the regional construction industry, a causal flowchart of influencing factors of the low-carbon competitiveness in the Guangxi construction industry is constructed, and a model based on system dynamics is established. After the entropy weight method is used to determine the variable weight, VENSIM PLE software is used to simulate the development trend of the low-carbon competitiveness of the Guangxi construction industry. The simulation results of the promotion effect of various factors on the development of the low-carbon competitiveness of the regional construction industry from 2010 to 2020 are obtained, and countermeasures and suggestions are proposed from the perspective of a circular economy.

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“…The entropy weight method also had many applied types of research in economics. In recent years, the research were mainly focused on the selection of suppliers and order distribution [17], enterprise product quality evaluation [18], soft power analysis [19], community sustainability assessments of public rental housing [20], user behavior analysis [21], social development analysis [22], and social impact evaluation [23]. In the research of energy and related fields, scholars used the entropy weight method to optimize the design of the hybrid energy system [24], comprehensively evaluate power grid planning [25], evaluate park energy utilization [26], a comprehensive risk assessment of electricity [27], calculation of petroleum standard indicators [28], and in a diesel engine emission evaluation [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Evaluation Method of Freight Transportation Environmental Sustainability

Huang¹,

Han²

2021

Sustainability

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As an important part of daily economic activities, freight transportation produces various pollutions during the transportation process, which will have a negative effect on the sustainable development of the environment. In this paper, the entropy weight technique for order of preference by similarity to ideal solution (TOPSIS) combination method was used for specific calculations, in order to judge whether transportation is environmentally sustainable. On the basis of selecting and classifying several the important factors of freight transportation, the entropy weight method was used to calculate and analyze the data of inland river transportation over 8 recent years. The weight of each influencing factor was determined, then the TOPSIS method was used to compare the environmental data of 8 years, and the environmental sustainability of the target river transport section was calculated by comparing the results. The method proposed in this paper is the first example of using the entropy weight–TOPSIS combination method to evaluate environmental sustainability in the field of freight transportation, also solving the problems of the impact of subjective factors in existing methods and the difficulty of dealing with multiple factors.

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Integrated linguistic entropy weight method and multi-objective programming model for supplier selection and order allocation in a circular economy: A case study

Cited by 90 publications

References 64 publications

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Dynamic Simulation of Low‐Carbon Competitiveness from the Perspective of Circular Economy

Research on Evaluation Method of Freight Transportation Environmental Sustainability

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