4,887 research outputs found
Solving multiple-criteria R&D project selection problems with a data-driven evidential reasoning rule
In this paper, a likelihood based evidence acquisition approach is proposed
to acquire evidence from experts'assessments as recorded in historical
datasets. Then a data-driven evidential reasoning rule based model is
introduced to R&D project selection process by combining multiple pieces of
evidence with different weights and reliabilities. As a result, the total
belief degrees and the overall performance can be generated for ranking and
selecting projects. Finally, a case study on the R&D project selection for the
National Science Foundation of China is conducted to show the effectiveness of
the proposed model. The data-driven evidential reasoning rule based model for
project evaluation and selection (1) utilizes experimental data to represent
experts' assessments by using belief distributions over the set of final
funding outcomes, and through this historic statistics it helps experts and
applicants to understand the funding probability to a given assessment grade,
(2) implies the mapping relationships between the evaluation grades and the
final funding outcomes by using historical data, and (3) provides a way to make
fair decisions by taking experts' reliabilities into account. In the
data-driven evidential reasoning rule based model, experts play different roles
in accordance with their reliabilities which are determined by their previous
review track records, and the selection process is made interpretable and
fairer. The newly proposed model reduces the time-consuming panel review work
for both managers and experts, and significantly improves the efficiency and
quality of project selection process. Although the model is demonstrated for
project selection in the NSFC, it can be generalized to other funding agencies
or industries.Comment: 20 pages, forthcoming in International Journal of Project Management
(2019
2-Bromo-1-(4-methoxyphenyl)ethanone
The title compound, C9H9BrO2, prepared by the reaction of 4-methoxyacetophenone and cupric bromide, , is approximately planar (r.m.s. deviation 0.0008 Å). In the crystal, weak intermolecular aromatic C—H⋯Ocarbonyl hydrogen-bonding interactions result in a one-dimensional chain structure
Integrated Application and Improvement of Selection Method of Storage Sales Industry
In recent years, in order to adapt to the rapid development of the warehouse-storage sales industry and to solve the problems of location cost and efficiency and optimization of the methods of the new retail store, we have integrated and innovated the barycenter method and grey correlation method, and analyzed the grey correlation method with the weight obtained by the comprehensive analysis. In order to achieve the optimal cost effect, we choose the optimal solution from several alternative address schemes. It is found that using the integrated method as the reference standard for the location calculation of Warehouse Logistics Enterprises under the new retail background is helpful to improve the accuracy rate, and reduce the defects and defects caused by the independent use of the various methods, and adapt to the more practical and concrete conditions of the location selection of warehouse storage enterprises. At the same time, it is also an innovative attempt to cross discrete and continuous boundaries
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