Yan Tu's research while affiliated with Wuhan University of Technology and other places
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Publications (59)
Zongmin Li Xinyu Du Ye Zhao- [...]
Lu Gan
Rumor refutation is a common method to control rumors to address potential risks. This paper studies the social media rumor refutation effectiveness lifecycle (SMRREL), focusing on three important characteristics (i.e., lifespan, peak value, and distribution) to provide support for (1) enhancing the persistence and intensity of rumor refutation eff...
Travel has become the most popular way to relieve stress at present. Choosing suitable travel cities and scenic spots among the many alternatives and planning travel routes are the two most troublesome problems for people. For the first question, this paper uses the multi-criteria decision-making method—best-worst method (BWM) to build a priority m...
Motivated by the realistic demand of reducing the flood risk of urban metro stations, this paper creatively proposes a research framework for flood risk classification assessment of metro stations. In the framework, a specified criterion system is established from the perspective of hazard, vulnerability, exposure and rescue capacity. Furthermore,...
Motivated by the realistic demand of controlling the Internet public opinion risk caused by the local outbreak of COVID-19, this paper creatively proposes a COVID-19 local outbreak Internet public opinion risk grading research framework. The SMAA-FAHPSort II method combining Analytic Hierarchy Process Sort II (AHPSort II) method with Stochastic Mul...
Traffic risk hinders the development of human society. Due to the influence of weather and climate, the traffic risks vary in different time periods. This paper innovatively reconstructs the criterion system for evaluating regional traffic safety risk from a time series perspective. On the basis of the novel criterion system, this paper proposes a...
In order to cope with the growing problem of flood disasters, it is crucial to improve the urban flood resilience. Hence, this paper develops a novel evaluation methodology to find the weak links and capacity gaps of urban flood resilience. Firstly, according to the three periods of flood, the urban flood resilience evaluation indicator system is d...
The risk of water resources has become a serious crisis threatening the human survival and social development. Based on the establishment of a comprehensive risk evaluation system from perspective of water quantity and water quality, this paper proposes a group TODIM (an acronym in Portuguese for Interactive and Multi-criteria Decision Making) with...
The best-worst method (BWM) is a multicriteria decision-making (MCDM) method to derive the relative importance (weight) of a set of criteria used to evaluate a set of alternatives. Several models (e.g., nonlinear, linear, Bayesian, and multiplicative) have been developed to find the weights based on the provided pairwise comparisons, conducted amon...
Excellent cold chain logistics services are the premise to ensure the safe delivery of some specific goods to consumers. Scientific and effective supply chain management can provide guarantee for efficient cold chain logistics services. This paper aims to build a scientific cold chain logistics supplier evaluation system. Firstly, the criterion sys...
The predictable water shortage crisis is intensifying due to frequent extreme weather caused by climate change and human activities. Motivated by urgent practical needs of more scientific and balanced river basin water resources allocation (RBWRA) schemes, a comprehensive bi-level multi-objective programming (BLMOP) model for RBWRA considering unce...
The security of water resources is of great importance to long-term sustainability. In order to better ensure the security of water resources, a significant link is to conduct water resources security evaluation, which should be considered from many perspectives as it involves natural reserves, social production, the efficiency of use, and environm...
Environmental pollution is one of the major challenges in China, which seriously affects people's life, economy and society. This paper proposes a multi-criteria group decision-making method based on hesitant fuzzy preference relations with self-confidence (HFPRs-SC) behaviours and applies it to the evaluation of the environmental pollution emergen...
Jun Liu Liu Liyi Yan Tu- [...]
Zongmin Li
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...
The security of water resources is of great importance to long-term sustainability. In order to better ensure the security of water resources, a significant link is to conduct water resources security evaluation, which should be considered from many perspectives as it involves natural reserves, social production, the efficiency of use, and environm...
Qing Yu Jun Liu Yan Tu- [...]
Wenjing Shen
Safety management is the primary issue in global coal mine enterprises. To ensure the safety of coal mine enterprises reasonably and effectively, it’s critical to establish a scientific sorting method to conduct risk grading for coal mine safety management. Firstly, an indicator system of coal mine safety risk grading is given. Secondly, the AHPsor...
Regional water resources coordination (RWRC) plays a prominent role in long-term sustainability. In order to achieve harmonious utilization of regional water resources, it is suggested that local governments should focus on balancing three goals - security, equity, and efficiency, resulting in both ecological and socioeconomic benefits in a region....
In the context of Chinese innovation-driven strategy, the role of suppliers has been attracting much attention. Since not every supplier can contribute to the buyer’s innovation, scientifically selecting an innovative supplier is highly valued by decision-makers from the new energy vehicle (NEV) manufacturers. This paper focuses on proposing a nove...
Solving linear programming is essentially to solve a special system of linear inequalities. Unlike other pivoting methods, we find that row geometry can fully and effectively exploit huge potential of Farkas Lemma in solving systems of linear inequalities and is a feasible way to solve linear programming. Therefore, we develop the row pivoting meth...
The operation of emergency logistics plays a prominent role in reducing the consequences of disasters. Based on the establishment of a comprehensive evaluation system with the whole period of the disaster cycle that covers emergency preparation, response, and recovery, this paper proposes a fuzzy-symmetrical Technique for Order Preference by Simila...
Nowadays, water resource security is becoming increasingly prominent, and this problem is a primary bottleneck restricting China’s future sustainable development. It is difficult to come to a unified conclusion on water resources security, and applications of highly feasible evaluation methods are lacking in practice. In this paper, a novel evaluat...
The internet often serves as a communication platform for users to freely express opinions. However, as it supports the quick and wide spread of public opinions, it often results in great uncertainty and is very difficult to control. As a result, evaluating the risk levels of internet public opinion becomes very challenging. The safety of internet...
Adopting an appropriate green technical solution matching with the enterprise operational features is not only essential task of its green sustainable ambition, but also a key process in the successful commercialization of technology. The fundamental challenge is to recognize the possible barriers in the process of green technology adoption and tra...
Proportional hesitant fuzzy linguistic sets (PHFLSs), is a good way of representing uncertain assessment of decision makers. This paper focuses on extending the Interactive and Multiple Attribute Decision Making (TODIM) method into multi-granularity PHFLSs environment. We first propose a new ranking method and a normalized Hamming distance measure...
The aim of this paper is to present an integrated and practical optimization method for solving a supplier selection and order allocation problem by considering a hierarchical structure under randomness. To accomplish this, a stochastic expected linear bi-level programming model is developed based on the supplier selection and order allocation in t...
This paper presents an optimization method for a stone industry park location planning problem considering hierarchical structure of local government and stone enterprises under fuzzy random environment. A multi-objective bi-level decision making model is established in which the unit production cost and unit transportation cost are considered as f...
Quality function deployment (QFD) is an effective approach to satisfy the customer requirements (CRs). Furthermore, accurately prioritizing the engineering characteristics (ECs) as the core of QFD is considered as a group decision making (GDM) problem. In order to availably deal with various preferences and the vague information of different expert...
Interval 2-tuple linguistic model is widely applied to group decision making owing to the representation capabilities.In order to deal with the problem of different labels (multi-granularity), an interval 2-tuple transformation function is developed, which is beneficial to information aggregation and fusion. In addition, a novel and flexible interv...
This paper presents a decentralized multi-objective bi-level model for water resources planning, in the upper level of the model, the regional authority as the leader determines to allocate how much water to each sub-area to maximize equity and minimize the environmental pollution, and then the sub-areas in the lower level make decisions on allocat...
In this paper, we propose two stage fuzzy DEA models with undesirable outputs to evaluate banking system. The banking system is divided to two subsystems: production stage and profit stage. In the model, two kinds of assumptions (constant returns to scale and variable returns to scale) are considered, and fuzzy parameters are adopted to describe th...
This paper studies stock portfolio selection problem based on varying conservative-neutral-aggressive attitudes. The return rates of stocks are characterized by fuzzy variables. The Pareto-optimal solutions are obtained by maximizing the return and minimizing the risk subject to constraints of transaction cost and value at risk. Since investors wit...
As large-scale hydropower projects are influenced by many factors, risk evaluations are complex. This paper considers a hydropower project as a complex system from the perspective of sustainability risk, and divides it into three subsystems: the natural environment subsystem, the eco-environment subsystem and the socioeconomic subsystem. Risk-relat...
Industrial production and environmental management systems should be simultaneously considered for sustainable development. This paper evaluated the performance of an integrated two-stage system using a proposed type-2 fuzzy bi-objective two-stage slacks-based measurement Data Envelopment Analysis model with super efficiency. A Step Method was appl...
This paper aims to develop a bi-level model with multiple followers to make decision on water resources allocation, water shortage control objective is considered by the leader, cost saving objectives are considered
by the followers
. In the model, random fuzzy variables
are considered, these
variables are transformed to determined variables using...
In
this paper, we introduce the third firm into the original market, and continue to analyze the pricing game of three and the equilibrium of dynamic pricing that three firms achieve. We choose to set the case into a pricing game in the expanding Hotelling model. Through the analysis and comparison, we conclude that firms which implement dynamic pr...
This study aims to evaluate the performance of a bi-level system including two kinds of players: a leader positioned at the upper level and multiple followers located at the lower level. The overall system tries to use inputs to produce outputs in a cost-efficient way. However, each player in the bi-level system controls different decision variable...
This study is concerned with the plant selection and production allocation problem under the background of Original Equipment Manufacturing (OEM), which consists of a single controlling company regarded as the leader and multiple candidate plants as the followers. A bi-level programming model is proposed, where the plant selection optimization prob...
Managers of modern large-scale construction projects are under pressure to meet higher customer expectations with tighter budgets. Although they deal with numerous issues in the purchasing and manufacturing processes, selecting effective and efficient material suppliers is among the most critical one. This selection is often very challenging when l...
Natural disasters often result in fatalities, injuries, diseases and other negative physical and mental health effects. Indirectly, disasters can result in social grievances and resource scarcities which can trigger social conflicts. Despite the many natural disaster studies, however, little attention has been devoted to the study of conflicts foll...
The 72-h post-earthquake location-routing problem is key to post-earthquake emergency logistics. In the 72-h post-earthquake period, lack of information about the road conditions increases relief effort uncertainty. A bi-level model under a random fuzzy environment is presented in this paper to solve this problem. The Rescue Control Center is the u...
This paper focuses on a multidemand multisource order quantity allocation problem with multiple transportation alternatives. To solve this problem, a bilevel multiobjective programming model under a mixed uncertain environment is proposed. Two levels of decision makers are considered in the model. On the upper level, the purchaser aims to allocate...
In this paper, we concentrate on dealing with a class of decision-making problems with level-2 fuzzy coefficients. We first discuss how to transform a level-2 fuzzy decision-making model with expected objectives and chance constrained into crisp equivalent models, then an interactive fuzzy satisfying method is introduced to obtain the decision make...
In this paper, we consider
a class of linear bi-level programming with random fuzzy coefficients, which has no mathematical meaning because of the uncertain factors. So in order to make it solvable, we introduced the linear chance
constrained bi-level model. And some theorems are proposed to obtain the equivalent model. Then we employ the interacti...
This paper focuses on a R&D project portfolio selection problem in a bi-level organization. In the organization, the considered project
portfolio can be supported by two levels of funds, that is company fund and
department funds. Thereinto, company fund can support all projects while department funds only support
projects
from a specified departmen...
The aim of this paper is to present an administrative and market-based optimization method for solving a problem of regional water resources allocation by considering a hierarchical structure under multiple uncertainties. To accomplish this, a multi-objective bi-level programming model is developed based on the water right distribution in a river b...
This paper focuses on a stone industrial park location problem with a hierarchical structure consisting of a local government and several stone enterprises under a random environment. In contrast to previous studies, conflicts between the local authority and the stone enterprises are considered. The local government, being the leader in the hierarc...
A home supplies manufacturer manufactures many products and each requires workers with different skills. The manufacturer invites a contracting company to supply workers with different skills for each phase of the production process. The problem becomes a production and work force assignment problem, which can be considered as a bi-level programmin...
In the present paper, for the location problem of a third-party logistics company which is under the fuzzy random environment, we proposed an chance constraint model. In order to solve it, we transform it into an equivalent crisp model by some mathematical proofs. Finally, an illustrative examples are given in order to show the application of the p...
This article presents an optimization method for solving a material flow traffic assignment problem (TAP) in a large-scale construction project considering a hierarchical structure with fuzzy random variables. A multiobjective bilevel decision-making model is established in which the transportation time and cost in each arc are considered as fuzzy...
The aim of this paper is to consider the supplier selection problem under a hierarchical decision system. With consideration of the inherent uncertainty, An decentralized bilevel optimization model under fuzzy random environment is developed for tracking a supplier selection problem with multiple items. For solving the bi-level programming model, a...
In this paper, we consider a class of linear bi-level programming with random fuzzy coefficients, which has no mathematical meaning because of the uncertain factors. In order to make it solvable, we introduced the linear bi-level model with expected objectives and chance constraints, and propose some theorems to obtain the equivalent models. Then w...
In this paper, we consider a class of linear bi-level programming with random fuzzy coefficients, which has no mathematical meaning because of the uncertain factors. So in order to make it solvable, we introduced the linear bi-level model with expected objectives and constraints. And some theorems are proposed to obtain the equivalent model. Then w...
In this paper, we develop a simple algorithm for obtaining the global solution to a small scale fixed-charge transportation problem (FCTP). The procedure itself is very quick. The proposed method solves FCTP by decomposing the problem into series of smaller sub-problems, which is novel and can be useful to researchers solving any size of the proble...
This work developed an integrated scheduling model which incorporated both production scheduling and maintenance planning for a single machine problem and considered the multiple objectives of minimizing total weighted completion time and maximizing average timeliness level under a fuzzy environment. First, a fuzzy random variable for maintenance t...
The allocation of water resources has long been recognized as a critical optimization problem. In this study, a bilevel programming model with fuzzy random variables is developed for tackling a regional water resources allocation problem on the basis of water rights distribution in a river basin. The bilevel programming model takes the optimal tota...
The aim of this study is to deal with a minimum cost network flow problem (MCNFP) in a large-scale construction project using a nonlinear multiobjective bilevel model with birandom variables. The main target of the upper level is to minimize both direct and transportation time costs. The target of the lower level is to minimize transportation costs...
Citations
... As a result, the number of classifications at different stations is small and the acceptability index of different classifications varies greatly. This means that the proposed method can easily obtain a classification of the alternatives (Liu et al. 2022). In addition, the comparison of the two classification results for each metro station shows that more than 80% of the metro station categories remain unchanged. ...
... introduced the Bayesian BWM. Recently, Liang et al. (2022) and Maleki et al. (2022) proposed respectively the non-additive BWM using Choquet integral, which is suitable for the possible interaction between the criteria. Feng et al. (2020) proposed the improved BWM based on the distance of the vectors of reference comparisons. ...
... Chen et al. (2017) employed the leader-follower method along with multiple water demands and environmental constraints for water resources management. Tu et al. (2022) also employed bi-level multiobjective programming (BLMOP) model by considering water market for the allocation of water resources in the river basin. ...
... Owing to the complex relationship among the social and institutional systems as well as the economics of water use, the competition may aggravate ecological water shortage when multiple sectors use limited water resources (Yang et al. 2020). It is recognized that water resource can become either the obstacle of development or the driving force of economic growth (Du et al. 2022). In order to alleviate the regional water crisis, analyzing the relationship between the economy and the environment (more specifically between the production sectors and water consumption) can help policymakers and stakeholders to formulate scientific water management policies (Nie et al. 2021). ...
... In a public health emergency, people tend to search frequently for information related to their health and safety Frontiers in Psychology 02 frontiersin.org due to worries about unknown future events (McMullan et al., 2019;Liu et al., 2021). News report serves as a reliable source of information by showing the recently-occurring fact, and thus is always taken as the main source for information acquisition. ...
... Apart from these, some studies on water security issues used multi-criteria decision-making (MCDM) for further analysis, for example, Fetanat et al. (2021) expanded methodology based on two multi-criteria decision-making (MCDM) methods called linear assignment and entropy under an intuitionistic fuzzy environment to support the synthetic decision to highlight energy recovery from wastewater treatment technologies. Tu et al. (2021) developed a thorough valuation methodology for measuring the degree of regional water resource coordination (RWRC). First, they created a security-equity-efficiency (SEE) evaluation indicator system. ...
... They illustrated that this data mining technique has higher classification accuracy than other classification methods. Liu et al. (2021) investigated the application of a hybrid MCDM based on fuzzy linguistic sets, BWM, prospect theory (PT), and VIKOR for innovative supplier selection evaluation. The main contributions of their study are establishing a novel approach with consideration of supply risk, hesitant fuzzy linguistic judgments in the indicator system, and using a hybrid BWM-PT-VIKOR method. ...
... An iteration bound is established for the algorithm in [28], which is better than the similar bounds established in [12,30] (for special LP problems such as Markov decision problem and LP with uni-modular data set, these bounds are "strongly polynomial" in terms of n and d). Very recently, Liu et al. published their brilliant facet pivot algorithm [16]. In the first part of this series of papers [29], this author proposed an improved facet pivot algorithm suitable for computer code implementation and demonstrated its superiority by performing extensive numerical tests. ...
... [5] extended linguistic forms of decision making to group decision making (GDM), where the use of linguistic terms allows for a convenient and intuitive representation of the evaluator's uncertainty preferences. This allows experts to scientifically weigh the choice of emergency response options for major disaster relief, corporate investment choices and large constructive projects [6]. ...
... (Absalon et al., 2022;Afrasiabi et al., 2022;Agarwal et al., 2022;Alavi et al., 2021;Cheraghi et al., 2022;Dong et al., 2021;Ecer & Pamucar, 2020;Fallahpour et al., 2021a;Fallahpour et al., 2021b;Huang et al., 2021;Irannezhad et al., 2021;Kannan et al., 2020;Khalili Nasr et al., 2021;Kolagar et al., 2020;Kumar et al., 2021;Kumar et al., 2021;Liu et al., 2021;Ma et al., 2022;Mahmud et al., 2021;Malakoutikhah et al., 2022;Mathiyazhagan et al., 2021;Moharrami et al., 2020;Mostafaeipour et al., 2021;Pamucar et al., 2021;Patil et al., 2021b;X. Ren et al., 2020;Roy & Shaw, 2022;Selerio et al., 2020;Tavana et al., 2020;Tu et al., 2020;Xu, 2020;Yang et al., 2021;Zare et al., 2020;Zarjou & Khalilzadeh, 2022) (1, 1, 1) (2/3, 1, 3/2) (1, 3/2, 2) (3/2, 2, 5/2) (2, 5/2, 3) (5/2, 3, 7/2) (3, 7/2, 4) (7/2, 4, 9/2) (9/2, 9/2, 9/2) (1, 1, 1) (1, 2, 3) (2, 3, 4) (3, 4, 5) (4, 5, 6) (5, 6, 7) (6, 7, 8) (7, 8, 9) (9, 9, 9) ( (1, 1, 1) (1, 1, 3) (1, 3, 5) (3, 5, 7) (5, 7, 9) (7,9,9) (1, 1, 1) (1, 2, 4) (1, 3, 5) (2, 4, 6) (3, 5, 7) (4, 6, 8) (5, 7, 9) (6, 8, 9) (7, 9, 9) (1, 1, 1) (2/3, 1, 2) (5/3, 2, 3) (8/3, 3, 4) (11/3, 4, 5) ...