Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Yi-Xin Lan"'
Publikováno v:
The Electronic Library, 2016, Vol. 34, Issue 2, pp. 250-264.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EL-04-2014-0064
Publikováno v:
Applied Soft Computing. 140:110275
Publikováno v:
International Journal of Industrial and Systems Engineering. 40:104
Publikováno v:
Knowledge-Based Systems. 123:174-187
Rule reduction is one of the research objectives in numerous successful rule-based systems. In some analyses, too many useless rules may be a concern in a rule-based system. Although rule reduction has already attracted wide attention to optimise the
Publikováno v:
Journal of the Operational Research Society. 68:41-52
Two-sided mergers and acquisitions (M&A) fits have been regarded as a critical step, which should always be taken by a bidder company when trying to identify suitable target companies prior to an M&A. This paper proposes an approach to two-sided M&A
Publikováno v:
The Electronic Library. 34:250-264
Purpose – The purpose of this study is to evaluate the potential risks of copyright infringement in digital library based on the extension theory. Design/methodology/approach – At first, the analytic hierarchy process (AHP) is used to determine t
Autor:
Fei-Bao Liang, Yi-Xin Lan
Publikováno v:
Communications in Statistics - Theory and Methods. 43:1145-1163
This article introduces a general class of biased estimator, namely a generalized diagonal ridge-type (GDR) estimator, for the linear regression model when multicollinearity occurs. The estimator represents different kinds of biased estimators when d
Autor:
Ying-Ming Wang, Yi-Xin Lan
Publikováno v:
Economic Modelling. 33:182-186
In this paper, most productive scale size (MPSS) for input and output mixes is measured from pessimistic point of view by using pessimistic data envelopment analysis (DEA). It is proved that the decision making unit (DMU) with the maximum pessimistic
Autor:
Ying-Ming Wang, Yi-Xin Lan
Publikováno v:
Mathematical and Computer Modelling. 54(11-12):2760-2771
This paper proposes a new approach to measuring Malmquist productivity index (MPI) by using both optimistic and pessimistic data envelopment analyses (DEA) simultaneously, which we refer to as the double frontiers data envelopment analysis (DFDEA). T
Publikováno v:
Expert Systems with Applications. 38:9122-9128
Existing methods for generating common weights in data envelopment analysis (DEA) are either very complicated or unable to produce a full ranking for decision making units (DMUs). This paper proposes a new methodology based on regression analysis to