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Gang Kou

Bio: Gang Kou is an academic researcher from Southwestern University of Finance and Economics. The author has contributed to research in topics: Group decision-making & Multiple-criteria decision analysis. The author has an hindex of 49, co-authored 243 publications receiving 8517 citations. Previous affiliations of Gang Kou include University of Nebraska Omaha & University of Electronic Science and Technology of China.


Papers
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Journal ArticleDOI
TL;DR: An MCDM-based approach to rank a selection of popular clustering algorithms in the domain of financial risk analysis and indicates that the repeated-bisection method leads to good 2-way clustering solutions on the selected financial risk data sets.

660 citations

Journal ArticleDOI
TL;DR: The goal of this paper is to propose an approach to resolve disagreements among MCDM methods based on Spearman's rank correlation coefficient, and the experimental results prove that the proposed approach can resolve conflicting M CDM rankings and reach an agreement among different MCDm methods.
Abstract: Classification algorithm selection is an important issue in many disciplines. Since it normally involves more than one criterion, the task of algorithm selection can be modeled as multiple criteria decision making (MCDM) problems. Different MCDM methods evaluate classifiers from different aspects and thus they may produce divergent rankings of classifiers. The goal of this paper is to propose an approach to resolve disagreements among MCDM methods based on Spearman's rank correlation coefficient. Five MCDM methods are examined using 17 classification algorithms and 10 performance criteria over 11 public-domain binary classification datasets in the experimental study. The rankings of classifiers are quite different at first. After applying the proposed approach, the differences among MCDM rankings are largely reduced. The experimental results prove that the proposed approach can resolve conflicting MCDM rankings and reach an agreement among different MCDM methods.

490 citations

Journal ArticleDOI
TL;DR: A review of CRPs in SNGDM is provided, and as a result it classifies them into two paradigms: (i) the CRP paradigm based on trust relationships, and (ii) theCRP paradigmbased on opinion evolution.
Abstract: In social network group decision making (SNGDM), the consensus reaching process (CRP) is used to help decision makers with social relationships reach consensus. Many CRP studies have been conducted in SNGDM until now. This paper provides a review of CRPs in SNGDM, and as a result it classifies them into two paradigms: (i) the CRP paradigm based on trust relationships, and (ii) the CRP paradigm based on opinion evolution. Furthermore, identified research challenges are put forward to advance this area of research.

378 citations

Journal ArticleDOI
TL;DR: This paper reviews the literature of the main developments of the pairwise comparison matrix and focuses on the literature published in 37 peer reviewed international journals from 2010 to 2015 to find the current hot research topics and research techniques in the PCM.
Abstract: The measurement scales, consistency index, inconsistency issues, missing judgment estimation and priority derivation methods have been extensively studied in the pairwise comparison matrix (PCM). Various approaches have been proposed to handle these problems, and made great contributions to the decision making. This paper reviews the literature of the main developments of the PCM. There are plenty of literature related to these issues, thus we mainly focus on the literature published in 37 peer reviewed international journals from 2010 to 2015 (searched via ISI Web of science). We attempt to analyze and classify these literatures so as to find the current hot research topics and research techniques in the PCM, and point out the future directions on the PCM. It is hoped that this paper will provide a comprehensive literature review on PCM, and act as informative summary of the main developments of the PCM for the researchers for their future research. First published online: 02 Sep 2016

345 citations

Journal ArticleDOI
TL;DR: A cosine maximization method (CM) based on similarity measure is proposed, which maximizes the sum of the cosine of the angle between the priority vector and each column vector of a PCM to derive the reliable priority vector.

304 citations


Cited by
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Journal ArticleDOI
TL;DR: Reading a book as this basics of qualitative research grounded theory procedures and techniques and other references can enrich your life quality.

13,415 citations

01 Jan 2002

9,314 citations

Posted Content
01 Jan 2012
TL;DR: The 2008 crash has left all the established economic doctrines - equilibrium models, real business cycles, disequilibria models - in disarray as discussed by the authors, and a good viewpoint to take bearings anew lies in comparing the post-Great Depression institutions with those emerging from Thatcher and Reagan's economic policies: deregulation, exogenous vs. endoge- nous money, shadow banking vs. Volcker's Rule.
Abstract: The 2008 crash has left all the established economic doctrines - equilibrium models, real business cycles, disequilibria models - in disarray. Part of the problem is due to Smith’s "veil of ignorance": individuals unknowingly pursue society’s interest and, as a result, have no clue as to the macroeconomic effects of their actions: witness the Keynes and Leontief multipliers, the concept of value added, fiat money, Engel’s law and technical progress, to name but a few of the macrofoundations of microeconomics. A good viewpoint to take bearings anew lies in comparing the post-Great Depression institutions with those emerging from Thatcher and Reagan’s economic policies: deregulation, exogenous vs. endoge- nous money, shadow banking vs. Volcker’s Rule. Very simply, the banks, whose lending determined deposits after Roosevelt, and were a public service became private enterprises whose deposits determine lending. These underlay the great moderation preceding 2006, and the subsequent crash.

3,447 citations

Journal ArticleDOI
TL;DR: This paper presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations, and updated guidelines of how to use PLS and how to report and interpret its results.
Abstract: Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PLS. The paper aims to discuss these issues. Design/methodology/approach – This paper aggregates new insights and offers a fresh look at PLS path modeling. It presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations. Findings – PLS path modeling is the method of choice if a SEM contains both factors and composites. Novel tests of exact fit make a confirmatory use of PLS path modeling possible. Originality/value – This paper provides updated guidelines of how to use PLS and how to report and interpret its results.

3,251 citations