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Institution

Jiangxi University of Finance and Economics

EducationNanchang, China
About: Jiangxi University of Finance and Economics is a education organization based out in Nanchang, China. It is known for research contribution in the topics: Fuzzy logic & China. The organization has 2865 authors who have published 3556 publications receiving 41567 citations.


Papers
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Journal ArticleDOI
01 Mar 2013-Geoderma
TL;DR: In this article, the authors explore the inversion of apparent electrical conductivity (ECa) measured with an EM38 using a linear model and Tikhonov regularization to model electrical conductivities (σ) profiles in a saline paddy field in the Yangtze delta of China.

75 citations

Journal ArticleDOI
01 Dec 2017-Energy
TL;DR: Wang et al. as mentioned in this paper studied the effects of oil price shocks on China's stock market using monthly data from February of 1996 to October of 2015 and found that the relationship between oil price changes and stock market is unstable in the full sample, and there is a structural break in December of 2006.

74 citations

Journal ArticleDOI
TL;DR: A new LHF-VIKOR (linguistic hesitant fuzzy Vlsekriterijumska Optimizacija I Kompromisno Resenje) method for solving multiple criteria decision-making problems with LHFSs is developed and an intelligent transportation system evaluation example is analyzed to demonstrate the effectiveness and feasibility of the proposed method.

74 citations

Journal ArticleDOI
TL;DR: In this paper, the authors adopted provincial panel data from 1990 to 2014 and employed quantile regression model to investigate the influencing factors of China's CO 2 emissions, which showed that economic growth plays a dominant role in the growth of CO2 emissions due to massive fixed-asset investment and export trade.

73 citations

Journal ArticleDOI
TL;DR: A new fuzzy linear programming method is developed for solving fuzzy inhomogenous multiattribute group decision making problems with fuzzy alternatives' comparisons and incomplete weight information and the effectiveness of the proposed method is verified with an example of IT outsourcing provider selection.
Abstract: Considering various situations and characteristics of supply chain management, we regard the outsourcing provider selection as a type of fuzzy inhomogenous multiattribute group decision making (MAGDM) problems with fuzzy alternatives' comparisons and incomplete weight information. Hereby we focus on developing a new fuzzy linear programming method for solving such MAGDM problems. In this method, the decision makers' preferences are given through pair-wise alternatives' comparisons with fuzzy truth degrees represented as trapezoidal fuzzy numbers (TrFNs). Intuitionistic fuzzy sets, TrFNs, intervals and real numbers are used to express the inhomogenous decision information. Under the condition that the fuzzy positive ideal solution (PIS) and fuzzy negative ideal solution (NIS) are known, the fuzzy consistency and inconsistency indices are defined on the basis of the relative closeness degrees and expressed with TrFNs. The attribute weights are estimated through constructing a new fuzzy linear programming model, which is solved by the developed method of fuzzy linear programming with TrFNs. Through solving the constructed linear goal programming model, we obtain the collective comprehensive relative closeness degrees of alternatives to the fuzzy PIS, which are used to rank the alternatives. The effectiveness of the proposed method is verified with an example of IT outsourcing provider selection.

73 citations


Authors

Showing all 2890 results

NameH-indexPapersCitations
Jian Huang97118940362
Dean Tjosvold6328113224
Ning Zhang6270116494
Kin Keung Lai6054713120
Lei Shu5959813601
Brian M. Lucey5837314227
Robert J. Hardy451218798
Yu Lu432326485
Jiaying Liu432807489
Ali M. Kutan432726884
Dejian Lai391676409
Ahsan Habib392234951
Xiaohua Hu364246099
Naixue Xiong352915084
Yuming Fang352044800
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
202236
2021415
2020328
2019254
2018219