Gang Kou

Gang Kou
Southwestern University of Finance and Economics · School of Business Administration

PhD

About

299
Publications
105,755
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
11,519
Citations
Citations since 2016
138 Research Items
9221 Citations
201620172018201920202021202205001,0001,5002,000
201620172018201920202021202205001,0001,5002,000
201620172018201920202021202205001,0001,5002,000
201620172018201920202021202205001,0001,5002,000
Additional affiliations
May 2013 - April 2015
Southwestern University of Finance and Economics
Position
  • Distinguished Professor of Cheung Kong Scholar Program
April 2008 - April 2013
University of Electronic Science and Technology of China
Position
  • Professor (Full)
August 2003 - December 2006
University of Nebraska at Omaha
Position
  • PhD Student

Publications

Publications (299)
Article
In real world, decision-makers’ regret psychology often affects decision outcomes due to uncertain risks. Moreover, decision information may be missing in the process of data acquisitions or data storages. Three-way decision has been widely explored in the risky decision-making area by providing effective strategies to divide objects into three mut...
Article
Full-text available
Bike-sharing systems (BSSs) have become increasingly popular around the globe and have attracted a wide range of research interests. In this paper, we study the region-based demand forecasting problem in BSSs. State-of-the-art methods usually employ branched residual 2D or 3D convolutional neural networks, in which each branch extracts one spatiote...
Article
Consensus reaching process (CRP) is important and present in a wide range of application areas. In practical CRP, the managers (e.g., enterprise) often hire some informed individuals (e.g., persuaders) to promote the efficiency of consensus reaching. This article proposes a CRP with minimum cost of informed individuals and time constraint in large-...
Article
Multi-view learning, as a promising direction, emphasizes the consensus principle and the complementarity principle to boost the performance. By exploiting view-consistency or view-discrepancy among different views, numerous successful multi-view support vector machine models have been proposed. However, existing methods face two challenges. Firstl...
Article
Full-text available
Analytic hierarchy process (AHP) is widely used in group decision making (GDM). There are two traditional aggregation methods for the collective preference in AHP-GDM: aggregation of the individual judgments (AIJ) and aggregation of the individual priorities (AIP). However, AHP-GDM is sometimes less reliable only under the condition of AIJ and AIP...
Article
Full-text available
In the past 10 years, a large number of consensus-reaching approaches for group decision making (GDM) have been proposed. While these methods either focus on the cost of the consensus reaching or the convergency of the consensus process, the consensus efficiency has long been ignored. Meanwhile, the measurements of consensus threshold are often det...
Article
The users’ cancelling rental data in the bike-sharing system (BSS) is usually regarded as abnormal trip data and is ignored. Abnormal trip data may have implicit information about the availability of shared bikes. So this paper presents an approach based on functional principal components analysis (FPCA) and clustering to advance the shared-bike av...
Article
Balancing the accuracy rates of the majority and minority classes is challenging in imbalanced classification. Furthermore, data characteristics have a significant impact on the performance of imbalanced classifiers, which are generally neglected by existing evaluation methods. The objective of this study is to introduce a new criterion to comprehe...
Article
Pairwise comparison matrix (PCM) has been widely employed in the multi-criteria decision-making (MCDM) problems to rank the criteria and alternatives according to the considered criteria in Analytic Hierarchy Process (AHP). The PCM should have the acceptable consistency before deriving a priority vector from it. Approximate thresholds of geometric...
Article
Finance investment selection is important for an investment company in financial decision making. Multiple experts should be invited to make investment selection. The dependability of the investment results can be affected by the original decision information and the experts’ reliability. However, experts are not all knowledgeable and express their...
Article
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,...
Article
A clustering-based undersampling (CUS) and distance-based near-miss method are widely used in current imbalanced learning algorithms, but this method has certain drawbacks. In particular, the CUS does not consider the influence of the distance factor on the majority of instances, and the near-miss method omits the inter-class(es) within the majorit...
Article
The transportation sector is also of great importance in terms of carbon emission problem. Significant amount of carbon dioxide is emitted into the atmosphere due to the use of fossil fuels in transport vehicles. Electric vehicles play a key role to overcome this problem. However, high cost is an important handicap in choosing electric vehicles, es...
Article
Security against systemic financial risks is the main theme for financial stability regulation. As modern financial markets are highly interconnected and complex networks, their network resilience is an important indicator of the ability of the financial system to prevent risks. To provide a comprehensive perspective on the network resilience of fi...
Article
Consensus reaching process (CRP) is a dynamic and interactive method used to reach a group decision. Now that social networks and mobile internet are prominent features in daily life, more experts are able to take participate in decision making in the network and their opinions are influenced by others in the decision-making process. Therefore, how...
Article
With the development of science and technology, large-scale group decision making based on social network has become a crucial issue, and opinion leaders play an increasingly important role in the process of opinion dissemination and information transmission by virtue of their own influence, even affect the direction of decision-making. This paper...
Article
With the emergence of the industrial internet of things, distributed data storage systems have become widely used to store the monitoring data of power generation systems. Malicious hackers often try to destroy or steal these confidential data by illegally invading the systems. In addition to hackers’ illegal intrusions, the availability of the dat...
Article
Full-text available
In many real production systems, a system may be stopped due to a lack of demand or exhaustion of raw materials. This is known as production wait and provides a good opportunity for maintenance. Meanwhile, the increased complexity of the modern machines brings new challenges for modeling and analyzing their failure behaviors. To address these real-...
Article
In general, production systems always contain a two-stage process of product production and pollution treatment, where undesirable byproducts generated in the former stage will be treated as inputs in the latter stage. How to evaluate the performance of such production systems is very important both from academic research and practical application....
Article
Existing research on phased-mission system reliability has mainly focused on internal failures. However, some practical phased-mission systems such as photovoltaic based electric power generation systems can also be subjected to external impacts. This paper models the reliability of a photovoltaic based electric power generation system considering...
Article
The parallel structure in the reliability engineering is widely used in many industrial systems such as power generation systems, pump systems, production systems and computing systems. Designing the optimal maintenance policies for these parallel systems can minimize the operation cost while achieving a satisfying system availability. Previous stu...
Article
Large-scale decision-making, which involves a large number of participants, is common in practical applications. While cost is a crucial factor in large- scale decision-making, research on minimum cost consensus in group decision-making are mainly focused on a small number of experts. The goal of this paper is to expand the application of minimum c...
Article
Existing research has been concentrated on improving the reliability of a distributed computing system through optimizing tasks allocation, providing software redundancy and providing hardware redundancy. None of these works considered the performance sharing mechanism in a distributed computing system. Different from other performance sharing syst...
Article
Studies have shown that online product reviews can indicate the position of a competitive brand. Even though reviews on different platforms may express different opinions, most studies are based on only one platform. This may lead to an inaccurate analysis of market structure. To solve this problem, we develop a novel market structure analysis base...
Article
Motivated by the vector evaluation genetic algorithm (VEGA), this research develops simulation budget allocation rules for the VEGA in solving simulation optimization problems. We formulate the selection problem of the VEGA using the optimal computing budget allocation approach, and derive the asymptotically optimal allocation rule and an easily im...
Article
Multi-criteria decision making (MCDM) is a common method used to solve complex decision-making problems. One such method, TODIM (TOmada de Decisão Iterativa Multicritério), is derived from prospect theory, which considers the psychological behaviors of decision makers (DMs). The perceptions of DMs of the alternatives may be uncertain because, for e...
Article
In social networks, factors that influence the spread of information are essential for companies to comprehend. This study uses the opinion dynamic theory to investigate the influence of multiple advertisement opinion leaders in social networks. We construct an integrated bounded confidence model to simulate the evolution of followers’ opinions und...
Article
Recent multi-criteria group decision making methods focus their analysis on the experts preferences. They do not take into account the reasons why each expert has provided a specific set of preferences. In this paper, a method that introduces novel measures capable of explaining the reasons behind experts decisions is presented. A novel concept, th...
Article
Urban resettlement projects involve a large number of stakeholders and impose tremendous cost. Developing resettlement plans and reaching an agreement amongst stakeholders about resettlement plans at a reasonable cost are some of the key issues in urban resettlement. From this perspective, urban resettlement is a typical large-scale group decision-...
Article
Existing research on the reliability of multi state systems concentrated on one-dimensional systems. However, many two-dimensional systems widely exist in real-world applications such as collaborative robots supported matrix production systems and touch panel systems. Motivated by these practical systems, this research studies a two-dimensional sli...
Article
Full-text available
As the number of people involved in a decision-making problem increases, the complexity of the group decision-making (GDM) process increases accordingly. The size of participants and the heterogeneous information have important effects on the consensus reaching process in GDM. To deal with these two issues, traditional methods divide large groups i...
Article
Social trust network (STN) has facilitated information exchange between experts during interactions. Some feedback mechanisms have been used to provide advices for opinion change to improve their consensus levels. However, they do not consider the experts’ willingness and their self-confidence values. To analyze the influence of the relationship be...
Article
Pairwise comparison matrix (PCM) is an important tool to rank items by deriving priorities and has been used in various applications. Though large-scale sparse PCMs appear frequently in today's big data environment, it is hard for existing prioritization methods to handle large-scale sparse PCMs efficiently due to the curse of dimensionality. The g...
Article
Full-text available
Opinion dynamics is an opinion evolution process of a group of agents, where the final opinion distribution tends to three stable states: consensus, polarization, and fragmentation. At present, the opinion dynamics models have been extensively studied in differrent fields. This paper provides a review of opinion dynamics in finance and business, su...
Article
Pairwise comparison is a powerful tool in intelligent decision making systems. Items are compared using numerical judgments that estimate the item weight ratios, which are provided by decision makers or transformed by objective data. The reliable assignment of numerical judgments is important, because judgment variety leads to significantly differe...
Article
Since the performances of suppliers usually fluctuate over time and are affected by environmental changes, enterprises need to evaluate suppliers in the past several periods, rather than a single period. As the environment changes, decision makers will exchange their views and influence each other. In addition, multiple decision makers are not alwa...
Article
In real-life group decision-making (GDM) problems, the preferences given by decision-makers(DMs) are often incomplete, because the complexity of decision-making problems and the limitation of knowledge of DM make it difficult for DMs to take a determined evaluation of alternatives. In addition, preference relations provided by DMs are often heterog...
Article
Inspired by the continuous opinion and discrete action (CODA) model, bounded confidence and social networks, the bounded confidence evolution of opinions and actions in social networks is investigated and a social network opinions and actions evolutions (SNOAEs) model is proposed. In the SNOAE model, it is assumed that each agent has a CODA for a c...
Article
Full-text available
Many bankruptcy prediction models for small and medium-sized enterprises (SMEs) are built using accounting-based financial ratios. This study proposes a bankruptcy prediction model for SMEs that uses transactional data and payment network–based variables under a scenario where no financial (accounting) data are required. Offline and online test res...
Article
In recent years, research has found that in many credit risk evaluation domains, deep learning is superior to traditional machine learning methods and classifier ensembles perform significantly better than single classifiers. However, credit evaluation model based on deep learning ensemble algorithm has rarely been studied. Moreover, credit data im...
Article
Full-text available
As a consequence of the exponential growth in online data, tourism sector has experimented a radical transformation. From this large amount of information, opinion makers can be benefited for decision making in their purchase process. However, it can also harm them according to the information they consult. In fact, being benefited or harmed by the...
Article
Full-text available
This paper proposes a heuristic method (Bayesian cosine maximization method (BCCM)) to rank the alternatives in the Analytic Hierarchy Process (AHP) synthesis, based on the multiplicative AHP model, which focuses on the revision of the pair-wise comparison matrices (PCMs) and derivation of the priority vectors from the PCMs in whole hierarchy, cons...
Article
Transfer learning builds models for the target domain by leveraging the information from another related source domain, in which the distributions of two domains are usually quite distinct. Real-world data are often characterized by multiple representations known as multi-view features. In the multi-view transfer learning field, existing methods ai...
Preprint
Temporal and spatial features are both important for predicting the demands in the bike-sharing systems. Many relevant experiments in the literature support this. Meanwhile, it is observed that the data structure of spatial features with vector form is weaker in space than the videos, which have natural spatial structure. Therefore, to obtain more...
Article
Motivated by real-world complex engineering systems, this research proposes a multi-state system with two levels of performance sharing. In this system, there exists a unique performance transmitter between any two adjacent subsystems and any two adjacent elements within each subsystem. Surplus performance of a subsystem or an element can only be t...
Article
Many real-world engineering systems such as aerospace systems, intelligent transportation systems and high-performance computing systems are designed to complete missions in multiple phases. These types of systems are known as phased-mission systems. Inspired by an industrial heating system, this research proposes a generalized linear sliding windo...
Preprint
Full-text available
Distributed linguistic representations are powerful tools for modelling the uncertainty and complexity of preference information in linguistic decision making. To provide a comprehensive perspective on the development of distributed linguistic representations in decision making, we present the taxonomy of existing distributed linguistic representat...
Article
Distributed linguistic representations are powerful tools for modelling the uncertainty and complexity of preference information in linguistic decision making. To provide a comprehensive perspective on the development of distributed linguistic representations in decision making, we present the taxonomy of existing distributed linguistic representat...
Article
This research addresses the use of individual protection, overarching protection, and disinformation to defend a series system against intentional attacks. The attacker can allocate resources to intelligence actions to distinguish false targets from genuine targets. Analogously, the defender can expend efforts on disinformation actions to prevent t...
Article
Full-text available
Purpose Social media commerce provides a convenient way for users to share information and interact with each other. Few studies, however, have examined the effect of marketing messages and consumer engagement behaviors on the economic performance of marketing. This study, therefore, explored the economic performance of social media in terms of mar...
Article
Existing research on multistate system reliability has mainly focused on one‐dimensional systems such as parallel systems, linear sliding window systems, and linearly consecutively connected systems. However, two‐dimensional networked systems widely exist in real‐world applications such as lighting systems, monitoring systems, and computer network...
Article
Full-text available
Existing research on multistate system reliability has mainly focused on one-dimensional systems such as parallel systems, linear sliding window systems, and linearly consecutively connected systems. However, two-dimensional networked systems widely exist in real-world applications such as lighting systems, monitoring systems, and computer network...
Article
Full-text available
Non-cooperative behavior is a common situation in large-scale group decision-making (LSGDM) problems. In addition, decision makers in LSGDM often use different preference formats to express their opinions, due to their educational backgrounds, knowledge, and experiences. Heterogeneous preference information and non-cooperative behaviors bring chall...
Article
Full-text available
Online peer-to-peer (P2P) lending is a new form of loans. Different from traditional banks, lenders provide loans to borrowers directly through P2P platforms. Since many P2P loans are unsecured personal loans, credit rating of loans is vital to control default risk and improve profit for lenders and platforms. Standard binary classifiers are inappr...
Article
Full-text available
In many disciplines, the evaluation of algorithms for processing massive data is a challenging research issue. However, different algorithms can produce different or even conflicting evaluation performance, and this phenomenon has not been fully investigated. The motivation of this paper aims to propose a solution scheme for the evaluation of clust...
Article
Full-text available
With the development of economy, the requirement of financial planning for individuals or families is emerging. In the era of the Internet, individual investors can conveniently enter the market and purchase financial products. Traditional portfolio management models focus on risky markets such as stock markets. However, risk-averse investors, such...
Article
Existing literature on system defense mainly considers single or multiple intentional impacts. However, intentional impacts (strategic attacks) and unintentional impacts (natural disasters) can happen sequentially in practice. To overcome this limitation, we conduct a study that considers the optimal resource allocation for defending a k-out-of-n s...
Article
Consensus reaching process is a very powerful decision tool to eliminate the preference conflict in group decision making. In general, the consensus is achieved by the decision makers modifying their preferences (or opinions) towards a point of mutual consent, and the feedback mechanism aims to provide preference-modifications suggestions. In many...
Article
Full-text available
In this paper, we propose two-stage prioritization procedure (TSPP) for multiplicative Analytic Hierarchy Process-group decision making (AHP-GDM), which involves determining the group priority vector based on the individual pair-wise comparison matrices (PCMs), simultaneously considering the consensus and consistency of the individual PCMs. The fir...
Chapter
Credit rating has long been a topic of interest in academic research. There are lots of studies about credit rating methods for large and listed companies. However, due to the lack of financial data and information asymmetry, developing credit ratings for small and medium-sized enterprises (SMEs) is difficult. To alleviate this problem, this paper...
Article
Urban buses usually require several distinct types of preventive maintenance. Due to the complexity of urban buses, quantifying the efficiency of preventive maintenance is very important for maintenance management decision-making and optimization. This study presents a sequential imperfect preventive maintenance model to quantify the maintenance ef...
Article
Full-text available
Abstract Blockchain is considered by many to be a disruptive core technology. Although many researchers have realized the importance of blockchain, the research of blockchain is still in its infancy. Consequently, this study reviews the current academic research on blockchain, especially in the subject area of business and economics. Based on a sys...
Article
Full-text available
The evaluation of feature selection methods for text classification with small sample datasets must consider classification performance, stability, and efficiency. It is, thus, a multiple criteria decision-making (MCDM) problem. Yet there has been few research in feature selection evaluation using MCDM methods which considering multiple criteria. T...
Article
Different feedback mechanisms have been developed in large-scale group decision-making (GDM) to provide the decision-makers with advices for preference adjustment with the aim of improving the group consensus level. However, the willingness of the decision-makers to accept these advices is rarely considered in the extant feedback mechanisms. In the...