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...

Computational intelligence is increasingly applied to complex decision-making challenges, leveraging its data analysis prowess. Hybrid human-artificial intelligence models enhance the grasp of intricate social behaviors, offering valuable insights for social computing and behavior modeling. Within this landscape, large-scale group decision-making (...

The Corona Virus Disease 2019 (COVID-19) epidemic has deferred global progress in energy efficiency to a decade-long low, posing a threat to the achievement of international climate goals, and also profoundly affected the development of economics. To gain insight into the research frontiers and hotspots in energy efficiency and COVID-19, a systemat...

The interpretability of prediction models is very important for decision management. The vast majority of existing prediction analysis models based on rough set theory lack a certain interpretability. To break through the existing framework, this paper deeply integrates rough fuzzy sets and logistic regression to construct an interpretable predicti...

Intelligent Transportation Systems (ITSs) are vital for alleviating traffic congestion and improving traffic efficiency. Due to the delay of network transmission and failure of detectors, massive missing traffic data are often produced in ITSs, which evidently decreases the accuracy of decision-making in road traffic management. Hence, how establis...

By comparing the attributes of objects one by one, an intuitionistic fuzzy relation, called the dominance-inferiority relation, is presented, and a dominance-inferiority-based rough set is introduced. Based on the dominance-inferiority relation and the dominance-inferiority-based rough set, the dominance-inferiority degree and dominance-inferiority...

The reforming and updating of power systems play a key role in promoting the low-carbon technology progress, saving non-renewable energy resources and reducing carbon emissions. The evaluation of power system reform proposals is an uncertain multiple-criteria decision-making problem given that some indicators cannot be represented by real numbers s...

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...

Because of its outstanding performance, NAND flash memory in the form of embedded flash drives like Universal Flash Storage (UFS) has been widely used in the modern smartphones. As the core software in UFS, the flash translation layer (FTL) is essential to the performance improvement of UFS. To consider all workloads, a balanced and fixed mapping c...

In this paper, we propose a novel method for ranking fuzzy numbers based on additively consistent fuzzy preference relations (ACFPR). We introduce the so-called additive priority degree (APD) to capture pair-wise comparisons of fuzzy numbers. This measure is both separable by taking a suitable parameter in the weight function and able to induce an...

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...

The strategy production in intuitionistic fuzzy multi-attribute decision-making is influenced by various factors. More realistic data representations are needed to portray ambiguity under increasingly complex decision-making contexts. Firstly, this study proposes a new approach for ranking independent trapezoidal intuitionistic fuzzy numbers based...

The notion of vehicle-to-everything (V2X) has been adopted and developed in a host of application scenarios due to its wide compatibility with intelligent transport, smart city or other relevant concepts since it was set forth. Benefiting from the application of advanced technologies, vehicles are connected with more and more objects, such as vehic...

Social trust network (STN) and minimum cost consensus (MCC) models have been widely used to address consensus issues in multi-attribute group decision-making (MAGDM) problems with limited resources. However, most researchers have overlooked the decision maker ‘(DMs)’ confidence levels (CLs) and adjustment willingness implicit in their evaluations....

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...

Modern key-value (KV) storage systems adopt append-only writes to update KV pairs with the out-of-place manner, because the performance of sequential accesses is much better than that of random accesses for HDDs. Compaction or GC operations will be deployed by traditional KVs or KV separation schemes due to updating KV pairs via append-only writes....

In recent years, more and more attention is paid to the OWA operator in the academy. Growth curve analysis, which is often used in ecosystem studies, also indicates that this growth trend will continue. However, prior literature has not made a big picture to help researchers make clear of the development of this field by identifying the evolution p...

Plenty of online customer reviews (OCRs) provide consumers with an abundant source of word-of-mouth (WOM). It makes potential customers evaluate alternative products or services more conveniently. Thus, relative studies have been arising. Considering that existing research is almost deployed from the perspective of reviewers, the study proposes an...

Research background: The globalization trend has inevitably enhanced the connectivity of global financial markets, making the cyclicality of financial activities and the spread of market imbalances have received widespread attention, especially after the global financial crisis. Purpose of the article: To reduce the negative effects of the contagio...

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 consideration of the different importance degrees that may be assigned to all possible linguistic terms, this paper investigates a novel three-way group decision-making method based on the probabilistic linguistic term set (PLTS) information systems. We first construct PLTS information systems based on multiple attributes. Considering the reliab...

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...

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...

Traffic noise acts as a major disturbance to residents living in the vicinity of roads, railways and airports, leading to various health problems to people. Evaluating different noise-control technologies by many experts according to multiple attributes can be seen as a multi-attribute large-scale group decision-making (LSGDM) problem. The existing...

Online reviews, mainly consisted of star ratings and text reviews, provide enterprises with consumer feedback on product usage. From the perspective of a product designer, exploring the values of online reviews to help enterprises analyze product competitiveness and grasp market trends becomes necessary. However, heterogeneous and unstructured onli...

A new measure for intuitionistic fuzzy numbers (IFNs) is proposed to reflect the magnitude of IFNs, and a novel ranking approach for IFNs is presented based on this measure. Furthermore, the theoretical basis of the ranking method is investigated, and several intuitionistic fuzzy monotonic dependent ordered weighted averaging (IFMDOWA) operators ar...

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...