Xinwang Liu

• PhD
• Research Director at Southeast University

Faced with backward and uneven economic conditions and an irrational and increasingly inequitable social structure, healthcare disparities are widening and the healthcare inequalities are expanding. This can lead to an increasing public demand for healthcare services, posing unprecedented risk, such as resource shortages, quality deterioration and...

High-tech industry becomes China’s leading industry due to its knowledge-intensive and substantial value-added characteristics. It is important to note that innovation efficiency of the high-tech industry directly affects its development level. Empirical study on innovation efficiency of the high-tech industry can provide meaningful insights into t...

The selection of medical waste treatment techniques has become a serious health and safety issue since the amount and variety of medical waste are rapidly increasing during the Corona Virus Disease 2019 (COVID-19) pandemic in the whole world. This paper aims to propose an integrated interval type-2 fuzzy Preference Ranking Organization Method for E...

The high-tech industry plays an important role in promoting the upgrading of industrial structures. Its innovation activities show an obvious two-system structure. To promote co-development and improve industrial competitiveness, it is essential to examine the efficiency and measure the coupling coordination degree between two systems. With this re...

The risk analysis of human error factors is one of the most significant procedures for preventing and reducing risk in the clinical use of medical devices. Human Factor Analysis and Classification System (HFACS) framework, a systematic human error analysis tool, is widely used for human error factors risk analysis. However, the traditional HFACS fr...

With the amount of medical waste rapidly increasing since the corona virus disease 2019 (COVID-19) pandemic, medical waste treatment risk evaluation has become an important task. The transportation of medical waste is an essential process of medical waste treatment. This paper aims to develop an integrated model to evaluate COVID-19 medical waste t...

One of the most significant goals that must be guaranteed for high-speed railway systems is safety. A new model is constructed for high-speed railway accident analysis with interval type-2 fuzzy DEMATEL method based on the 24Model. Specifically, the 24Model is introduced to identify the accident factors from four stages at the individual and organi...

Social network group decision-making (SNGDM) develops rapidly because of the popularity of online connections among experts. The current SNGDM studies mainly focus on the influence of trust on the evolution of consensus opinions through a complex process. Some situations are ignored in the existing research when trust may negatively affect the deci...

Group decision making (GDM) is widely used in a complex and uncertain real-world to help multiple experts collectively evaluate and select appropriate alternatives. Consensus reaching process (CRP) is a critical step to help experts reach agreement in GDM. There exist interference effects in CRP since subjective beliefs of experts can drive interfe...

As an important leading industry in China’s economy, the high-tech industry needs to systematically analyze technological innovation activities, thereby measuring the technological innovation efficiency and further improving sustainable development. The high-tech industry in different provinces benefits from individual policies due to their geograp...

The influence of socially responsible investment (SRI) has caused much attention from both institutional and individual investors in capital markets. SRI considers the corporate social responsibility (CSR) criteria of firms is becoming an emerging topic in economics and management. The aim of this paper is to develop a hybrid SRI portfolio selectio...

Multi-criteria decision-making (MCDM) models are well-suited for solving portfolio selection problems. Diversified financial indices and complex subjective preferences are important factors affecting investment decisions within the MCDM framework. Therefore, this study adopts a well-known behavioral MCDM model called generalized TODIM (TOmada de De...

The expected utility theory and the arithmetic average method have been widely adopted for the cross-efficiency strategy formulation and cross-efficiencies aggregation. However, traditional cross-efficiency methods often fail to consider the decision maker’s (DM’s) risk attitude and neglect the consensus among decision-making units (DMUs) in the cr...

In most existing linguistic distribution multiple criteria group decision-making (MCGDM) models, the sample size of group linguistic distribution assessment (LDA) is often neglected, and the decision makers are viewed to be independent. The probabilistic distribution is closely related to the sample size, and there exist more or fewer interference...

The high-tech industry is a high-end component of the modern industrial system, and the key to high-quality development is to improve total factor productivity (TFP). This article divides the innovation process of the high-tech industry into two sub-stages: technology development and economic conversion. Based on the panel data of high-tech sectors...

In large-scale group decision making (LSGDM), appropriate clustering analysis is important to consensus reaching since it can reduce the interactive complexity among individuals. According to the traditional clustering method, a conflict may arise between the consensus reaching levels and total adjustment costs within clusters when individuals have...

Shopping without much experience on target items is not unusual in social commerce (s-commerce). Inexperienced users are often influenced by user reviews when making purchasing decisions, which can be easily distorted due to low review quality. To address this issue, this study integrates two important review dimensions into purchasing decision mod...

The coronavirus disease 2019 (COVID-19) pandemic is still spreading all over the world. Although China quickly brought the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) under control in 2020, sporadic outbreaks have recurred from time to time. Outbreaks since June 2020 have suggested that the imported cold food supply chain is a majo...

The failure mode and effect analysis (FMEA) model is an effective safety system analysis method to identify and analyze potential risks. Nevertheless, the traditional FMEA possesses deficiencies associating with questionable multiplication procedure, overlooking uncertainty and interaction relationships among risk factors. Besides, determining the...

The risk assessment is one of the most significant procedures for identifying, preventing, and controlling Occupational Health and Safety (OHS) risks. One of many kinds of techniques for OHS risk assessment is based on the Fine-Kinney model. Most of the Fine-Kinney-based risk assessment approaches can consider the relative importance degree of risk...

Rail transit plays a very important role in the social and economic development of big cities. Its operational safety is of great significance for ensuring people’s lives and maintaining social stability. In this paper, the rail transit operation safety management framework is proposed and analyzed by considering the factors of organizational manag...

In this paper, we propose a behavioral risky hesitant fuzzy linguistic multiple attribute decision making with priority degree method. First, we define a new ranking method for hesitant fuzzy linguistic term sets to compare the hesitant fuzzy linguistic evaluation information and the expectation. Second, we give a relative distance for the hesitant...

Owing to the rapidly changing customer preferences and demands, the e-commerce industry encounters various uncertainties and risks to enhance competitiveness. Quality function deployment (QFD) is a commonly used model, which can translate customer requirements (CRs) into products or service design requirements (DRs), to improve competitiveness by l...

Recently, innovation evaluation has played an increasingly important role in the development of high-tech industry and the enhancement of international competitiveness. Data envelopment analysis (DEA) has been viewed as an effective data-driven method in evaluating the performance of decision-making units (DMUs). However, the traditional DEA models...

Human error probability (HEP) evaluation and prediction is one of the most significant tasks to enhance human reliability in marine industry. Among various kinds of HEP evaluation techniques, the Human Error Assessment and Reduction Technique (HEART) technique is regarded as an effective and empirical tool that has been widely adopted in various fi...

The portfolio allocation problem is a hot topic in modern economics and management science. It involves many immeasurable criteria and uncertainties. Given the advantage of interval type-2 fuzzy sets (IT2FSs) in modeling complexities and uncertainties, this study provides an integrated methodology to deal with portfolio allocation problem based on...

In the traditional portfolio selection problem, asset returns are modeled as fuzzy variables with fuzzy return. However, this approach is limited in its ability to capture uncertainty accurately and in analytical model solving. Here, we aim to develop a new fuzzy chance-constrained portfolio model with a type-2 fuzzy return variable using a credibi...

Multi-attribute decision making (MADM) is a classical model that widely used in various fields. But most research about this topic often assume that the attributes are independent each other. In fact the attributes maybe interact or interference each other in many cases. There are researches on the interact relationships with Choquet integral, but...

Multi-criteria recommender systems have garnered considerable interests from researchers and practitioners. In this paper, we study the optimization of the accuracy and scalability of multi-criteria recommendation systems using social relationships and criteria preferences information. We firstly construct a hybrid social recommendation algorithm t...

In this paper, the R&D green innovation of the Chinese high-tech industry can be regarded as a system of three consequent stages. Firstly, considering the existence of multiple effective decision-making units at the same time, a three-stage super-efficiency DEA model is proposed. Secondly, considering the “internal relationships” and “the distribut...

Nowadays, large-scale group decision making is usually handled based on clustering analysis process (CAP) and consensus reaching process (CRP). However, CAP and CRP can be contradictory since CAP is performed based on differences between potentially small groups and CRP is conducted to improve the overall similarity of a large group. To balance CAP...

The natural gas pipeline construction project possesses different kinds of highly risky occupational hazards because of its complex and dynamic surrounding environments. Occupational risk evaluation is one of the most effective techniques to reduce and manage these risks and hazards. There are various kinds of techniques to address the problem of o...

This paper aims toward the improvement of the limitations of traditional failure mode and effect analysis (FMEA) and examines the crucial failure modes and components for railway train operation. In order to overcome the drawbacks of current FMEA, this paper proposes a novel risk prioritization method based on cumulative prospect theory and type-2...

In most existing multi-criteria group decision making (MCGDM) problems, the decision makers (DMs) are usually regarded as independent and DMs’ psychological behaviors are rarely considered. However, in many cases, the opinions of DMs are likely to influence each other and the DMs often hold subjective bounded rationality in the decision making proc...

The risk prioritization process is one of the most crucial steps for risk evaluation of potential hazards. The Fine-Kinney method has been commonly applied to controll risks in practice, while the classical Fine-Kinney has limitations in the determination of important degrees of risk parameters. In addition, current risk prioritization approaches f...

Human error is one of the largest contributing factors to unsafe operation and accidents in high‐speed train operation. As a well‐known second‐generation human reliability analysis (HRA) technique, the cognitive reliability and error analysis method (CREAM) has been introduced to address HRA problems in various fields. Nevertheless, current CREAM m...

The Yangtze River Delta (YRD) is a Chinese region with the highest level of economic development, which has an important impact on the level of China’s modernization. The development of manufacturing is the driving and critical force for the industrialization of the YRD. Transformation and upgrading are considered as an effective measure to improve...

Large-scale group decision making (LSGDM) is characterized by a large number of participators, multiple groups and a mass of decision data provided by the participators. With the development of social media and e-democracy technologies, the social relationships among group decision makers should be taken into consideration when we address LSGDM pro...

Enhancing the reliability of machine tools and preventing the potential failures in the manufacturing process is one of the most important tasks for the development of industry. The failure mode and effects analysis (FMEA) is the well-known and widely utilized approach to identify and evaluate potential failures for preventing risk in various enter...

We propose a new multiple criteria decision-making method by combining the two types of distance aggregation methods: technique for order preference by similarity to ideal solution (TOPSIS) method and ordered weighted average distance (OWAD) operator together. The TOPSIS method measures the distance of alternatives to positive ideal and negative id...

The social network group decision‐making is popular due to the advantages of social relationships in the consensus reaching process, especially the trust relationships. To explore the effects of trust on consensus, some minimum cost consensus models are proposed based on implicit trust between individuals and the moderator. The implicit trust is co...

Trust is crucial for purchasing decisions in social commerce. However, inexperienced users may not have a direct trust relation to experienced users in practice. Besides, users tend to give their trust degrees to others with linguistic labels rather than crisp values. To evaluate the trust degree for inexperienced users to experienced ones, we prop...

Owing to the advancement of information technique, people in large groups usually have some social relationships with others and also have their own unique preferences. It is important to consider internal preference information and external social network relationships simultaneously in decision making. To handle the subjective uncertainty of DMs,...

Uncertain decision making exists in various kinds of human behaviors, especially in dealing with complex system modeling problem.

The sustainable supplier evaluation can be regarded as an MCGDM question that includes many evaluation criteria. Recently, researchers have done plenty of studies on sustainable supplier evaluation and selection in relative areas (Govindan et al. 2015; Igarashi et al. 2013).

Multiple criteria decision making is an important branch in decision analysis area. Which is related to make decisions in the presence of multiple and conflicting criteria.

Which is based on the idea that the best alternative should have the shortest distance from a positive ideal solution and the farthest distance from a negative ideal solution. In traditional TOPSIS method, the weights of the criteria and the ratings of alternatives are defined as crisp numbers. Fuzzy number.

Recently, a large number of methods for green supplier selection have been developed. Handfield et al. (2002) used AHP method to evaluate the environmental criteria to green supplier assessment. Lee et al. (2009) developed an extended fuzzy AHP decision model for green supplier selection, which took the environment issue into consideration, and app...

At present, there are many studies on the recommendation algorithm based on fuzzy theory. However, the recommendation algorithm based on type-2 fuzzy theory has always been a difficult point in theoretical research. The main reason is that the calculation of type-2 fuzzy is highly complex which is difficult to deal with in the actual application pr...

Nowadays, disasters, either man-made or natural, existing ubiquitously on the earth, and have been a common issue encountered by people around the world. Emergency logistics and supply chain management, thus, emerges and becomes increasingly important in the fields of supply chain, logistics management and other related areas.

It is noted that all these previous decision methods of supplier selection can not solve the MAGDM problems with incomplete decision preference information. In fact, there always exists such situation that the decision maker (DM) feels comfortable to express his/her decision in terms of preference relation instead offering numerical quantification....

Maclaurin symmetric mean (MSM) (Maclaurin 1729) is a classic generalized symmetric mean, which can be regarded as an extension of Bonferroni mean (Bonferroni 1950).

This Chapter briefly recalls some basic concepts of IT2FS, prospect theory and the VIKOR method. We define a new distance measure for IT2FS and develop an interval type-2 fuzzy VIKOR method based on the prospect theory. In addition, a numerical example that concerns high-tech investment evaluation to illustrate the practicality and validity of the...

Fuzzy multiple attribute group decision making (MAGDM) is an important topic both in fuzzy sets (FSs) theory and its applications (Zadeh 1965; Chen 2000; Kuo et al. 2006; Roghanian et al. 2010; Hatami-Marbini and Tavana 2011).

This paper is devoted to applying fuzzy risk-ranking analysis for the railway train operational risk assessment. Specifically, a new risk-ranking approach of dynamic VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) combined with Type-2 intuitionistic fuzzy set (Type-2 IFS) theory is proposed under different stages, which can be better em...

Failure risk prioritization of function components plays a key role in the process to redesign a mechanical product. However, the failure causality relationships (FCRs) among failure modes of components are often ignored in the existing design risk assessment methods, leading to inaccurate risk prioritization results. A failure mode in one componen...

The Failure mode and effect analysis (FMEA) is an effective risk evaluation approach which has been widely used to assist in risk controlling in various workplaces. However, in practice, the conventional FMEA approach suffers from the drawbacks associated with the risk evaluation and priorization methods. In this paper, a novel risk priorization me...

This book integrates the type-2 fuzzy sets and multiple criteria decision making analysis in recent years and offers an authoritative treatise on the essential topics, both at the theoretical and applied end. In this book, some basic theory, type-2 fuzzy sets, methodology, algorithms, are introduced and then some compelling case studies in decision...

Human error is recognized as one of the main leading causes of high-speed railway accidents. Human error Assessment and Reduction Technique (HEART) as a human error probability assessment technique has been widely employed in various fields. However, the traditional HEART possess limitations in modelling the dependence relationships among Error Pro...

Failure mode and effect analysis (FMEA) is considered as a proactive risk prevention and control technique has been widely applied to identify, assess and eliminate the risk of failure modes in various fields. Nevertheless, the risk indicators interaction and decision maker’s psychological behavior character are seldom considered simultaneously in...

The Rasmussen's AcciMap approach is an important system thinking method widely used to guide accident analysis and assess potential contributory factors. However, the AcciMap approach cannot quantify interaction relationships among contributory factors and the hierarchical representation of these factors, and it also cannot identify the dominant co...

This paper develops a solution for solving large-scale attributes and decision-makers in double large-scale group decision-making problems. Linguistic principal component analysis is used to reduce the dimensions of the attributes and fuzzy equivalence clustering with linguistic information is used to aggregate the preferences of the decision-maker...

Large scale group decision making (LGDM) problems and social network analysis (SNA) methods are both attracting increasing attention, and SNA methods are useful for addressing LGDM problems. By considering social network information, a new interval type-2 fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) model is prop...

Supplier selection is a key issue in supply chain management, which directly impacts the manufacturer’s performance. The problem can be viewed as a multiple attribute group decision making (MAGDM) that concerns many conflicting evaluation attributes, both being of qualitative and quantitative nature. Due to the increasing complexity and uncertainty...

This paper presents a behavioral portfolio selection model with time discounting preference. Firstly, we discuss the portfolio selection problem and then modify this model based on cumulative prospect theory (CPT) as well as considering investors' time discounting preference in psychology. Furthermore, an analytical solution with satisfying behavio...

The three-way decision method is a new developing uncertain decision theory. The method divides a set of decision alternatives into three regions, called the acceptance, rejection and uncertainty regions constructed from a pair of thresholds. However, seldom researches about three-way decisions take psychological attitudes and preferences of the de...

With the increasing economic globalization and intensification of market competition, green supply chain management (GSCM), as a new management mode to pursue both economic benefits and the coordinated of environment sustainable development, has become highly relevant topic in modern enterprise production operation management. The green supplier ev...

In order to deal with the fuzzy large-scale multiple-criteria group decision-making (FLMCGDM) problems, this paper incorporates clustering analysis and information aggregation operator into the problems of large-scale multiple-criteria group decision-making with interval type-2 fuzzy sets (IT2 FSs). The interval type-2 fuzzy equivalence clustering...

In MADM problems, the attributes are often rated in linguistic variables, some researchers transform them into numerical values through some formulas. However, it might be inconsistent with real human thinking in some extent. In order to deal with such problems, a sample survey based MADM method with prospect theory is proposed. Firstly, through sa...

Although there are many ranking methods for type-1 fuzzy numbers, most of which exist some limitations. In this paper, we propose a new concept to rank type-1 fuzzy numbers, which defines the formats of possibility mean and variation coefficient. It not only clearly discriminates the ranking of the type-1 fuzzy numbers especially for the reasonable...

Purpose – The purpose of this paper is to develop some 2-tuple linguistic aggregation operators based on Muirhead mean (MM), which is combined with multiple attribute group decision making (MAGDM) and applied the proposed MAGDM model for supplier selection under 2-tuple linguistic environment. Design/methodology/approach – The supplier selection p...

In this paper, we propose new methods to represent interdependence among alternative attributes and experts’ opinions by constructing Choquet integral using interval-valued intuitionistic fuzzy numbers. In the sequel, we apply these methods to solve the multiple attribute group decision-making (MAGDM) problems under interval-valued intuitionistic f...

With the increasing awareness and significant environmental pressures from various stakeholders, companies have realized the significance of selecting green suppliers to their supply chain activities, which involves multiple criteria with uncertainty and the decision makers' behaviour with irrational. Interval type-2 fuzzy sets (IT2 FSs) have advan...

In this paper, we investigate multiple attribute decision making (MADM) problems based on Frank triangular norms, in which the attribute values assume the form of hesitant fuzzy information. Firstly, some basic concepts of hesitant fuzzy set (HFS) and the Frank triangle norms are introduced. We develop some hesitant fuzzy aggregation operators base...

Metro station plays crucial social and economic roles in easing metropolitan traffic congestion. To ensure the safe operation of metro station and obtain the real-time risk status of metro station, it is necessary to study dynamic risk assessment of metro station. Based on the real-time data collected by data acquisition equipments and research on...

The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation operator used in modern information fusion theory, which is suitable to aggregate numerical values. The prominent characteristic of the MSM operator is that it can capture the interrelationship among the multi-input arguments. In this paper, we propose the dual Maclaur...

In this paper, we investigate the multiple-attribute decision-making (MADM) problems based on traditional Maclaurin symmetric mean operator operating under hesitant fuzzy environment. The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation operator and has strong modeling capability in modern information fusion theory, whic...

The three-way decision method is a kind of new developed uncertain decision theory that combines fuzzy sets and rough sets together in recent years. It divides a set of objects into three regions, called the acceptance, rejection and uncertain regions, respectively. However, all the current researches deal with the three regions in the same way and...

Interval type-2 fuzzy set (IT2FS) offers interesting avenue to handle high order information and uncertainty in decision support system (DSS) when dealing with both extrinsic and intrinsic aspects of uncertainty. Recently, multiple attribute decision making (MADM) problems with interval type-2 fuzzy information have received increasing attentions b...