Zeshui Xu

Sichuan University | SCU · Business School

An intuitionistic fuzzy set, characterized by a membership function and a non-membership function, is a generalization of fuzzy set. In this paper, based on score function and accuracy function, we introduce a method for the comparison between two intuitionistic fuzzy values and then develop some aggregation operators, such as the intuitionistic fu...

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We study the multi-criteria decision making problems in which the information about preference values is expressed in the form of uncertain linguistic information. We introduce some operational laws of uncertain linguistic variables and the concept of the ideal point of preference values with uncertain linguistic information, and develop an uncerta...

In this paper, we study the fuzzy multi-attribute decision making problems with preference information on alternatives, in which the attribute values and the preference values given by the decision maker(s) are in the form of triangular fuzzy numbers, and the information about attribute weights is incomplete. We develop two approaches to solving fu...

In this paper, we present a class of new preference relations-dynamic fuzzy preference relations in which all the elements are the variables of time, and study some of their desirable properties. We also give a straightforward method for deriving the priority weights of dynamic fuzzy preference relations, and then develop an approach to constructin...

In fuzzy large group decision making methods, an effective clustering method can greatly reduce the complexity of decision making, and it is an important ingredient for reaching a group consensus. In this paper, a novel fuzzy large group decision making method is established using three-way clustering and an adaptive exit-delegation mechanism. Trad...

As a new data representation in the big data era, a multi-scale decision information system (MSDIS) realizes “multi-level, multi-angle and multi-view” evaluations in various problems. However, most of existing multi-scale data analysis models are built for complete information systems (CISs), whereas the research on incomplete multi-scale decision...

In today’s environment of the rapid rise of artificial intelligence (AI), debate continues about whether it has beneficial effects on economic development. However, there is only a fragmented perception of what role and place AI technology actually plays in economic development (ED). In this paper, we pioneer the research by focusing our detective...

E&M Economics and Management (E&M), originally founded in 1998, is dedicated to promoting advancements in the fields of Economics and Management based on theoretical and empirical analyses. Motivated by its 25th anniversary in 2023, this paper utilizes bibliometrics to make a comprehensive analysis of publications of the E&M that are included in So...

Information leakage has become an urgent problem in multiple Online Social Networks (OSNs). The interactive communication of users has raised several privacy concerns. However, the current related work on privacy measurement only considers the privacy disclosure of user profile settings, ignoring the importance of profile attributes. To solve the e...

The outbreak of COVID-19 is synchronized with the outbreak of the infodemic, which directly affected the sentiment and behaviours of investors and thus affected the stock market. At the same time, the outbreak of the infodemic has led to the information infection of the public. With the information infection, panic, anxiety, and other emotions have...

From the perspective of historical review, the methodology of economics develops from qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of the superiority in learning inherent law and representative level, deep learning models assist in realizing intelligent decision-making in economics. After presenting s...

Intuitionistic fuzzy (IF) theory and evidence reasoning (ER) are two commonly used tools in the decision-making process. They have their own advantages and disadvantages in information expression and information aggregation. How to use these two methods’ strengths to make up for each other’s shortcomings in the decision-making process is a very int...

Open innovation (OI) has received significant attention from practices and theories over the past decades. This paper investigates the role of OI and personalized patterns in firms at home and abroad, and then measures the risks involved. Firstly, this paper reviews the definition of OI, the business model innovation characteristics, and the facing...

Based on the value function of the prospect theory, this paper constructs a security function, which is used to describe the victims’ feelings about the distance in emergency evacuation. Since different paths between the demand points and the emergency shelters are generally of different importance degrees, they are divided into main paths and auxi...

Predictive analysis is vital for decision management especially when involving in multiple attributes information systems. The correlation between attributes reflects that there exists a certain association between attributes and objects. How to effectively use the correlation between attributes to guide the prediction is a hot research topic in pr...

Distance measure is an effective tool for describing the difference between two vectors. Many scholars have proposed a lot of distance measures between the intuitionistic fuzzy sets. However, there are few works about the interval-valued intuitionistic multiplicative (IVIM) distance measure. The few research achievements are not sufficient to deal...

Strategic deviance plays a crucial role in practice because it is very important for companies to gain competitive advantages. Previous studies have focused on the economic effects of corporate strategies, while ignoring the causes and influencing factors of corporate strategic decisions. Starting from the risk aversion of individual investors, thi...

The existing fuzzy multiattribute decision making methods rely too much on discrete information fusion operators. In the context of big data, it cannot meet the needs of rapid fusion of massive data, nor can it reflect the continuous change of decision-makers thinking over time. In this article, we study how to integrate large-scare continuous hesi...

The three-way decision theory provides a three-way philosophical thinking to solve problems, and the regret theory quantifies the risk preferences of decision makers under different psychological behaviors. On the one hand, the combination of these two theories makes models more practical by considering the psychological behaviors of decision maker...

Governance in family firms can profoundly influence corporate behavior and performance. Recently, family firm governance (FFG) has attracted extensive attention as increasing empirical research has been published. However, few studies have attempted to map the global research on this growing field. In this paper, a comprehensive literature review a...

The increasing scarcity of resources and the escalating complexity of reality make the fairness ensuring in energy activities even more difficult. In this context, energy justice, as an emerging cross-field, tries to provide solutions based on practical problems. In the face of the surge of energy justice publications, it is necessary to review the...

Information exchange and dissemination happen among individuals in a group or social network, which is an inevitable process before the formation of the group and individual opinions. Opinion dynamics is a multidisciplinary research field that models information/opinion exchange processes to simulate the dynamic of opinions in networks with differe...

Subjective evaluation is a commonly used method in the real recognition process. Generally, two fuzziness can be found in evaluation information, namely what values should be given to fully describe the information and how to distinguish different values. The recently developed probabilistic hesitant fuzzy set could perfectly address these issues....

Accelerated globalization has created new requirements for corporate strategies. Understanding the statistical relationship between economic globalization and family business development is important in advancing the theory and practice in this field. This study aims to explore economic changes and their influence on the family businesses when glob...

Financial development is likely to benefit the use of renewable energies, particularly those lacking environmental conditions and significant external capital. However, the impact of financial development on alternative renewable energy sources has yet to be documented in different income‐level countries. Using a unique panel data set of 62 countri...

In order to adequately utilize and integrate both ratings and comments from multiple websites, this paper proposes a new hotel evaluation model with probabilistic linguistic information processing. Taking consumers’ possible psychological activities when leaving their reviews into consideration, this paper adapts the Weber-Fechner Law with the ling...

As the COVID-19 pandemic rages, the changing trends and emerging areas of total quality management (TQM) research before and after the COVID-19 pandemic are spotlighted, while the links between TQM and environmental social governance (ESG) are deeply discussed in this study. To explore the impact of the pandemic on TQM research, a comprehensive bib...

Decision making is undertaken by individuals whose perceptions for the objectives are vague due to the dynamics of decision-making objectives, the complexity of decision-making situation and the limitations of individuals’ education backgrounds, experiences, etc. Therefore, decision making which uses fuzzy set (FS) and its variants to describe the...

The bad working environment and various complex influencing factors lead to the high failure rate of a wind turbine. It is necessary to decide on a reasonable maintenance strategy for wind turbines. The classification of wind turbine components based on their importance degrees can identify the components which have an important impact on the relia...

The onset of the COVID-19 pandemic has changed consumer usage behavior towards mobile payment (m-payment) services. Consumer usage behavior towards m-payment services continues to increase due to access to usage experiences shared through online consumer reviews (OCRs). The proliferation of massive OCRs, coupled with quick and effective decisions c...

China’s carbon peak strategy constrains industry’s carbon footprint, limiting the total amount of electricity production from coal burning, rendering electricity a relatively scarce resource and affecting manufacturing enterprises’ production and operation activities. To address these circumstances, this paper applies a non-cooperative game model t...

Healthcare management (HCM) has attracted significant attention from scholars and practitioners, and decision-making (DM) is always perceived as a crucial managerial function. This paper attempts to explore the trend and structure of DM research in the field of HCM (DM-HCM) by conducting a bibliometric analysis of publications from 1998 to 2021. A...

Research on the correlation analysis between COVID-19 and air pollution has attracted increasing attention since the COVID-19 pandemic. While many relevant issues have been widely studied, research into ambient air pollutant concentration prediction (APCP) during COVID-19 is still in its infancy. Most of the existing study on APCP is based on machi...

Research background: Inflation has always been the core issue of economic research and there are many academic research achievements in this field. In recent years, global inflation has intensified, and many scholars focus on research in this field again, providing certain reference value for countries around the world to formulate corresponding ma...

In this paper, we establish a chance constrained model for the priority of hesitant fuzzy preference relation based on the idea of statistical distribution for preference information as stochastic variables with unknown distribution. Inspired by the idea of conditional value-at-risk (CVaR) robust optimization, a deterministic convex reformulation i...

Faced with any decision-making problems with fuzzy multi-criteria information, decision-makers generally set a minimum requirement on each criterion for satisfying their own preferences, thereby forming a fuzzy set on the criterion universe, which is called the criterion fuzzy set. From the perspective of realistic decision, the final decision of a...

In this paper, a fresh multi-attribute decision-making (MADM) method is proposed for group-oriented decision analysis. For group-oriented multi-attribute decision-making (GOMADM) problems, this paper proposes local advantage–disadvantage degrees and advantage–disadvantage degrees from the perspective of a strict attribute containing relation betwee...

Currently, image segmentation is widely used in face recognition, medical imaging, traffic control systems, and many other fields. The traditional possibilistic C-means (PCM) algorithm reduces the impact of outliers and noise on the computation of clustering centers; however, the clustering results are still poor due to high noise points. In this p...

Background: Dietary patterns with a high intake of fruits and vegetables (FV) are associated with a reduced risk of various cancers. It is not yet clear where and to what extent a decline in crop productivity caused by climate change may modify the distribution of related cancer burdens through reducing FV consumption in China. To design policies...

Interval type-2 fuzzy optimization models have become increasingly attractive and useful in various practical applications. Nonetheless, there israre discussion on the optimality conditions of granular solutions for the problem of interval type-2 fuzzy optimization. In response to this, we introduce two kinds of granular solutions and endeavor to a...

Hesitant fuzzy linguistic information has been used as a powerful expression to present the judgments under uncertainty. To improve its decision-making theory and enhance its application ability, we propose a decision-making method that considers the individual acceptable consistency and the group consensus of hesitant fuzzy linguistic preference r...

The use of probabilistic hesitant fuzzy elements (PHFEs) to represent the alliance status in cooperative games can describe the player's participation levels and associated probability. This paper proposes an effective Shapley function for probabilistic hesitant fuzzy cooperative games based on generalized Choquet integral. We first define the prob...

Green growth plays a vital role in achieving ecological sustainability in the presence of eco-innovation. This study explores the relationship between technological innovation, the knowledge economy, and sustainability using panel 1996–2017 data from 30 Organization for Economic Cooperation and Development countries. The knowledge economy variables...

Considering that converting linear ordinal ranking (LOR) information into interval utility values can not only improve the computability of LOR information but also explore the degree of preference for different alternatives for decision-makers hidden behind LOR information, this paper proposes a conversion-based LOR aggregation method to aggregate...

Heronian mean (HM) operators, which can capture the interrelationship between input arguments with the same importance, have been a hot research topic as a useful aggregation technique. In this paper, we propose the generalized normalized cross weighted HM operators on the unit interval which can not only capture the interrelationships between inpu...

Stock market movement prediction remains challenging due to random walk characteristics. Yet through a potent blend of input parameters, a prediction model can learn sequential features more intelligently. In this paper, a multi-channel news-oriented prediction system is developed to capture intricate moving patterns of the stock market index. Spec...

As the integration of entrepreneurship and strategic management, strategic entrepreneurship (SE) and related research has been developing for more than 20 years. Enterprises need such a holistic perspective to survive and thrive in the current competitive environment, capturing the efforts to achieve long-term goals, as do entrepreneurs and manager...

Risk identification is the primary link and a significant basis for risk management. It is difficult to identify critical risk factors (CRFs) in terms of the uncertainty, diversity, and incompleteness of risk factors. The various preferences for different stakeholders could cause different identification results. Hence, we propose the weakened hedg...

Nowadays, the decision environment is becoming more and more complicated due to the development of society and science, and people receiving different types of information every day and gradually form their unique cognitions and knowledge backgrounds. In this situation, people tend to provide their preferences or evaluations through multiple inform...

NAND flash memory shows prominent performance, so it has been used as storage devices of consumer electronics, such as the smart phones and tablet personal computers. As the storage management software of NAND flash memory, the page-level flash translation layer (PLFTL) owns very high I/O access performance for consumer electronics. As an improved...

Energy efficiency is the central focus of energy policies in many countries, and it is also at the forefront of the debate on energy sustainability. To further understand the research frontiers in the energy efficiency field, this paper utilizes a bibliometric analysis with the help of visualization tools: CiteSpace and VOSviewer. The relevant lite...

Techniques for collecting preferences in the framework of analytical hierarchy process (AHP) have been widely developed. But the resultant uncertainty has not been paid sufficient attention. A stochastic AHP is proposed based on theoretical development. The development is driven by a practical case regarding the evaluations in China’s governmental...

Histopathological image recognition of breast cancer is an onerous task. Although many deep learning models have achieved good classification results on histopathological image classification tasks, these models do not take full advantage of the staining properties of histopathological images. In this paper, we propose a novel Deconv-Transformer (D...

Varied extensions of preference relations have been developed to cope with uncertain scenes. However, the introduced uncertainty, which might decrease the reliability of a final decision, has not been paid sufficient attention. In this study, a new concept, referred to as complex preference relation (CPR), is proposed to formalize most of the exist...

The appropriate rating of software ecosystem health is to the benefit of its sustainable development. The rating method based on an expert panel with specialised knowledge is reliable for rating software ecosystem health. Complexity often causes obstacles for expert panels to give appropriate ratings. Facing complexity, hierarchical criteria system...

Compared with the general fuzzy decision making, the calculation process under the probabilistic hesitant fuzzy environment involves two new issues that need further consideration, namely quantitative element probability and qualitative element preference. The contributions of this study are to address them in the same modeling framework. For the q...

Earthquake is regarded as the most destructive and terrible disaster among all-natural disasters [1]. Experts agree that immediate emergency evacuation is the safest and most effective response to the earthquake disaster [2]. In the research of emergency evacuation planning, the influence of human subjectivity has gradually attracted researchers’ a...

There are two main issues of fuzzy multi-attribute decision-making: determine the weight of each attribute and choose an appropriate aggregation method to integrate the evaluation information of different attributes. In order to solve the multi-attribute decision-making problem in generalized orthopair fuzzy environment with unknown attribute weigh...

Preference relations are often used to derive the priority of attributes and/or alternatives. Linguistic term with weakened hedges (LTWH) as a type of complex linguistic expressions can more straightforwardly describe the linguistic information provided by DMs when evaluating under uncertainties. The preference relations represented by LTWHs are an...

Film evaluation is of considerable significance to the development of the film and TV industry. A film evaluation is usually a qualitative evaluation. Existing research focuses on transforming qualitative evaluation into numerical values and analyzing numerical values. However, existing methods have a semantic loss in the quantization process, and...

Nowadays, various uncertain information can be found in real world, and it is imperative to explore viable countermeasures for uncertain decision-making problems. Hesitant fuzzy set (HFS) theory is an efficient expression of uncertain information. Thus, the solution of hesitant fuzzy multi-attribute decision-making (HF-MADM) problems acts as a key...

With the development of novel technological and societal paradigms, consensus in multi-attribute large-scale group decision making is of great significance. The confidence derived by evaluation is considered in this paper and it is named as endo-confidence. Then, a novel adaptive consensus model to manage endo-confident behavior is proposed. First,...

A dual hesitant fuzzy set (DHFS) describes the uncertainty in the real world by using the membership degree and nonmembership degree. It can collect fuzzy information comprehensively and apply them into decision‐making tasks efficiently. In this article, we extract some characteristics, such as the average function, variance function, hesitancy deg...

For practical multiple attribute decision making problems, it is common to involve heterogeneous attribute information and a rational choice may be distorted by the judgments of decision-makers due to their limited personal cognition. In this regard, this article puts forward an integrated model to solve multiple attribute decision-making problems...

Hesitant fuzzy set (HFS) is an important tool to describe uncertainty, and many scholars have proposed some different distance measures which are applied in decision-making. In this paper, based on the feature vector introduced by Zeng et al. (in: 2019 15th International Conference on Computational Intelligence and Security (CIS), 2019), we propose...

In recent years, scientific research on sustainable tourism has attracted wide attention, which has fueled the concomitant need to comprehend the current state of research in sustainable tourism. In order to identify the research status of sustainable tourism and explore the direction for future research, this paper presents a comprehensive bibliom...