Institution
Jiangxi University of Finance and Economics
Education•Nanchang, 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.
Topics: Fuzzy logic, China, Supply chain, Computer science, Stock market
Papers published on a yearly basis
Papers
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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
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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
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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
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
Jian Huang | 97 | 1189 | 40362 |
Dean Tjosvold | 63 | 281 | 13224 |
Ning Zhang | 62 | 701 | 16494 |
Kin Keung Lai | 60 | 547 | 13120 |
Lei Shu | 59 | 598 | 13601 |
Brian M. Lucey | 58 | 373 | 14227 |
Robert J. Hardy | 45 | 121 | 8798 |
Yu Lu | 43 | 232 | 6485 |
Jiaying Liu | 43 | 280 | 7489 |
Ali M. Kutan | 43 | 272 | 6884 |
Dejian Lai | 39 | 167 | 6409 |
Ahsan Habib | 39 | 223 | 4951 |
Xiaohua Hu | 36 | 424 | 6099 |
Naixue Xiong | 35 | 291 | 5084 |
Yuming Fang | 35 | 204 | 4800 |