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This paper presents a decision-making method called matching coefficient model for supporting these less-developed townships to identify suitable development orientations in order to attract effective investments.
The quantities λ and q, satisfying the above matching equation, are called the matching coefficient and mode, respectively.
The similarity between morpho-types resulted in phenogram was estimated by simple matching coefficient (SM).
Matching coefficient is a very simple vector based approach which simply counts the number of similar terms (dimensions), with which both vectors are non-zero.
If we aim to optimize the anti-Robinson function with simple matching coefficient, 2D sort returns the best results for both matrices.
Wu et al. [7] also state that it is a common practice to use Jaccard coefficient for sparse data instead of simple matching coefficient.
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Simple matching coefficients were calculated using NTSYSpc-software version 2.2 (Exeter Software, Setauket, NY, USA).
In this paper, an enhanced approach of Markov state selection is proposed, which matches coefficients to Markov states base on well-performed function model.
Since the sparse coefficients and the original signal have a one-to-one correspondence relationship, we can just search for the matched coefficients of the image block for detecting object.
Co-operativity coefficients estimated this way closely match coefficients derived by recording from several Ca2+ concentrations in single cells giving coefficients of ∼3 4 in wild-type larvae.
MATLAB optimization toolbox is used in this work, and the optimal matching coefficients of Eqs.
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