Zero-carbon measure prioritization for sustainable freight transport using interval 2 tuple linguistic decision approaches

Zhang, Zhenyu; Zhang, Huirong; Zhou, Lixin

doi:10.1016/j.asoc.2022.109864

Cited by 13 publications

(5 citation statements)

References 45 publications

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“…Preference relationship (PR) is an important tool for experts to describe preference information after comparing alternatives. The traditional PR mainly characterizes the preference degree between alternatives on a scale of 1/9~9 [4] and has been widely used in economic, environmental, and risk management fields [5][6][7][8][9]. At present, the research on multiplicative PRs (MPRs) [10], additive PRs (APRs) [11], fuzzy PRs (FPRs) [12], and linguistic PRs (LPRs) [13] is complete.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiplicative Consistent q-Rung Orthopair Fuzzy Preference Relations with Application to Critical Factor Analysis in Crowdsourcing Task Recommendation

Yin,

Zhang

2023

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This paper presents a group decision-making (GDM) method based on q-rung orthopair fuzzy preference relations (q-ROFPRs). Firstly, the multiplicative consistent q-ROFPRs (MCq-ROFPRs) and the normalized q-rung orthopair fuzzy priority weight vectors (q-ROFPWVs) are introduced. Then, to obtain q-ROFPWVs, a goal programming model under q-ROFPRs is established to minimize their deviation from the MCq-ROFPRs and minimize the weight uncertainty. Further, a group goal programming model of ideal MCq-ROFPRs is constructed to obtain the expert weights using the compatibility measure between the ideal MCq-ROFPRs and the individual q-ROFPRs. Finally, a GDM method with unknown expert weights is solved by combining the group goal programming model and the simple q-rung orthopair fuzzy weighted geometric (Sq-ROFWG) operator. The effectiveness and practicality of the proposed GDM method are verified by solving the crucial factors in crowdsourcing task recommendation. The results show that the developed GDM method effectively considers the important measures of experts and identifies the crucial factors that are more reliable than two other methods.

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Section: Literature Reviewmentioning

confidence: 99%

Multiplicative Consistent q-Rung Orthopair Fuzzy Preference Relations with Application to Critical Factor Analysis in Crowdsourcing Task Recommendation

Yin,

Zhang

2023

Axioms

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“…The third group of studies is conducted based on several prevalent decision-making models, such as AHP and MADM. Zhang et al [3] proposed an interval 2-tuple language MADM method in ranking the zero-carbon measures for the sustainable freight. Garg et al [4] evaluated the sustainable development of the container freight railway in India using a fuzzy AHP method.…”

Section: Performance Evaluation Of the Transportation Industrymentioning

confidence: 99%

“…Currently, environmental efficiency or eco-efficiency evaluation has become one of the important topics in academia, and it includes many different methods, such as multiattribute decision-making (MADM, Gohari et al [1]; Sheu [2]; Zhang et al [3]), analytic hierarchy process (AHP, Garg et al [4]), stochastic frontier analysis (SFA, Wanke et al [5]; Liu et al [6]), and data envelopment analysis (DEA, Hampf and Rødseth [7]; Xia et al [8]). Among these evaluation methods, DEA became the most popular because it is applicable to evaluate the efficiency of decision-making units (DMUs) with multiple inputs and multiple outputs.…”

Section: Introductionmentioning

confidence: 99%

Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry

et al. 2023

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The transportation industry is characterized as a capital-intensive industry that plays a crucial role in economic and social development, and the rapid expansion of this industry has led to serious environmental problems, which makes the eco-efficiency analysis of the transportation industry an important issue. Previous research paid little attention to the regulatory scenarios and suffered from the incomparability problem, hence this paper aims to reasonably estimate the eco-efficiency and identify its evolutionary characteristics. We measure the eco-efficiency and the corresponding global Malmquist–Luenberger productivity index using a modified model of the data envelopment analysis framework, in which different regulatory constraints are incorporated. Based on the empirical study on the transportation industry of thirty provinces in China, we find that the eco-efficiency of Chinese transportation industry experienced a slight increase during 2015–2016, a sharp decline during 2016–2017, and a continuous rise since year 2017. The Middle Yangtze River area was the best performer among the eight regions in terms of eco-efficiency, while the Southwest area was placed last. The global Malmquist–Luenberger productivity index showed an earlier increase and later decrease trend, which was quite consistent with the reality of the variation of inputs and outputs and the emergence of COVID-19. Moreover, the best practice gap change was found to be the main driven force of productivity. The empirical results verify the practicability of our measurement models and the conclusions can be adopted in guiding the formulation of corresponding policies and regulations.

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“…Thus, the decision-makers choose a very effective and simple method to compare alternatives two by two to determine the preference between alternatives, constructing a judgment matrix that reflects the preference relations (PRs) ( Orlovsky, 1978 , Grobelny et al, 2021 ). Currently, PRs can generally be described using multiplicative PRs (MPRs) ( Herrera et al, 2001 ), fuzzy PRs (FPRs) ( Orlovsky, 1978 ), linguistic PRs (LPRs) ( Dong et al, 2008 , Elibal and Özceylan, 2022 , Zhang et al, 2022 ), interval-valued FPRs (IVFPRs) ( Barrenechea et al, 2014 ) and intuitionistic FPRs (IFPRs) ( Xu, 2007 , Zhang et al, 2022 ). The IFPRs are the preferred methods to describe uncertainty or non-judgment ( Yang et al, 2019 , Liu et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic

Zhang

Zhou

et al. 2023

Expert Systems with Applications

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Zero-carbon measure prioritization for sustainable freight transport using interval 2 tuple linguistic decision approaches

Cited by 13 publications

References 45 publications

Multiplicative Consistent q-Rung Orthopair Fuzzy Preference Relations with Application to Critical Factor Analysis in Crowdsourcing Task Recommendation

Multiplicative Consistent q-Rung Orthopair Fuzzy Preference Relations with Application to Critical Factor Analysis in Crowdsourcing Task Recommendation

Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry

Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic

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