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Xiaoyang Zhou

Other affiliations: Xidian University, Drexel University, Xi'an Jiaotong University  ...read more
Bio: Xiaoyang Zhou is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Fuzzy logic & Computer science. The author has an hindex of 13, co-authored 49 publications receiving 618 citations. Previous affiliations of Xiaoyang Zhou include Xidian University & Drexel University.

Papers published on a yearly basis

Papers
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Book
15 Jan 2011
TL;DR: This book provides an up-to-date methodology system for fuzzy-like multiple objective decision making, which includes modelling system, model analysis system, algorithm system and application system in structure optimization problem, selection problem, purchasing problem, inventory problem, logistics problem and so on.
Abstract: Decision makers usually face multiple, conflicting objectives and the complicated fuzzy-like environments in the real world. What are the fuzzy-like environments? How do we model the multiple objective decision making problems under fuzzy-like environments? How do you deal with these models? In order to answer these questions, this book provides an up-to-date methodology system for fuzzy-like multiple objective decision making, which includes modelling system, model analysis system, algorithm system and application system in structure optimization problem, selection problem, purchasing problem, inventory problem, logistics problem and so on. Researchers, practitioners and students in management science, operations research, information science, system science and engineering science will find this work a useful reference.

146 citations

Journal ArticleDOI
TL;DR: This paper investigates the consensus reaching process in the environment of heterogeneous large-scale group decision making with a novel ordinal consensus measure with an objective threshold based on preference orderings and discusses the approaches to determine the appropriate number of clusters and the initialization center points for the proposed ordinal k-means clustering algorithm.
Abstract: Because of the increasing complexity of real-world decision-making environment, there is a trend that a large number of decision-makers are becoming involved in group decision making problems. In large-scale group decision making problems, owing to various backgrounds and psychological cognition, it is natural to use heterogeneous representation forms (quantitative or qualitative) to express distinct preference information for different decision-makers. In this paper, we investigate the consensus reaching process in the environment of heterogeneous large-scale group decision making. A novel ordinal consensus measure with an objective threshold based on preference orderings is proposed. This process contains five parts: (1) obtaining ordinal preferences; (2) classifying all decision-makers into several subgroups using the ordinal k-means clustering algorithm; (3) measuring consensus levels of subgroups and the global group using novel ordinal consensus indexes; (4) providing suggestions for decision-makers to revise preferences using feedback strategies; (5) obtaining final decision result. An illustrative example is provided to verify the implementation of the proposed consensus model. Lastly, we discuss the approaches to determine the appropriate number of clusters and the initialization center points for the proposed ordinal k-means clustering algorithm.

93 citations

Journal ArticleDOI
TL;DR: Wu et al. as mentioned in this paper considered both WU and WT as an integrated two-stage WUWT system to provide more comprehensive efficiency evaluation and demonstrated that the integrated WU-WT system is efficient if and only if both water use and wastewater treatment subsystems are both efficient.

81 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors developed a multi-period, multi-stage DEA model, in which unused assets were carried over to subsequent periods, fixed assets and employee salaries were regarded as shared inputs for all three stages, and nonperforming loans, which were characterized using triangular type-2 fuzzy numbers, were introduced as undesirable outputs to reflect credit risk.
Abstract: Efficiency evaluations are vital for banks so that they can determine their future development and enhance their competitiveness. To comprehensively explore a bank’s internal structures and identify the specific reasons for any inefficiencies, three stages of banking systems need to be examined; capital organization, capital allocation, and profitability. To measure the efficiencies over consecutive periods, this paper developed a multi-period, multi-stage DEA model, in which unused assets were carried over to subsequent periods, fixed assets and employee salaries were regarded as shared inputs for all three stages, and non-performing loans, which were characterized using triangular type-2 fuzzy numbers, were introduced as undesirable outputs to reflect credit risk. The developed model was applied to a case study to evaluate the efficiencies of listed Chinese commercial banks from 2014 to 2016, from which a disparity in efficiencies was found; that is all banks were found to be generally inefficient; however, the inefficiencies occurred in different stages for different types of banks. Varying optimistic-pessimistic attitudes were applied to identify the overly sensitive banks and comparisons were conducted to provide managerial insights and verify the superiority of the proposed model. It was concluded that to enhance overall efficiency, banks need to have a reasonable business scale, that adopting a three-stage analytical framework can better identify efficiencies and the weaker stages, and that neglecting carryovers can overestimate bank performance.

78 citations

Journal ArticleDOI
TL;DR: A group decision-making approach to help managers to select optimal portfolio in which the group contains several experts who are invited to express their personal evaluations on candidate projects is developed.
Abstract: The problem that firms usually face with is how to allocate limited funds to available projects. In this study, we develop a group decision-making approach to help managers to select optimal portfolio in which the group contains several experts who are invited to express their personal evaluations on candidate projects. The proposed approach considers not only the group intelligence, but also the consensus process of group decision making. Because of the uncertain environment of portfolio selection, especially when investing newly-established projects, the hesitant fuzzy information is considered in evaluating the performance of projects. Furthermore, the score function and deviation function of hesitant fuzzy numbers are used to depict the return and risk of the projects, respectively. In addition, the prospect theory is employed to reflect the psychological behavior of experts because they evaluate the projects relying heavily on their intuition under risk. A numerical example is given to demonstrate the applicability of the proposed method and comparisons are conducted to show the advantages of the method.

78 citations


Cited by
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Journal ArticleDOI
TL;DR: A multi-objective mixed integer linear programming model for designing of sustainable tire closed-loop supply chain network that aims to optimize total cost, environmental impacts of establishment of facilities, processing of tires and transportation between each level as well as social impacts including job opportunities and work's damages is developed.

196 citations

Journal ArticleDOI
TL;DR: A novel model that integrates the best–worst method (BWM), modified fuzzy technique for order preference by similarity to ideal solution (TOPSIS), and fuzzy multi-objective linear programming (FMOLP) to solve problems in green supplier selection and order allocation is proposed.

188 citations

Journal ArticleDOI
TL;DR: A clear definition and characterization of LSDM events are proposed as a basis for characterizing this emerging family of decision frameworks, and a taxonomy and an overview of LSDm models are presented, predicated on their key elements.

153 citations

Journal ArticleDOI
TL;DR: The results of this study proved the proposed comprehensive model to be well capable of addressing the green supplier selection problem by taking in to account the interdependencies between criteria as well as the uncertainties associated with experts’ judgments.

150 citations

Journal ArticleDOI
TL;DR: An index system of HSR passenger satisfaction evaluation is constructed based on online-review analysis and evaluates the process by using LSDGM approaches to provide insights into the improvements desired by HSR passengers for in-cabin services and to improve passenger satisfaction.

142 citations