Method for optimally promoting decisions and computer program product thereof
AssigneesTaiwan Feibal Technology Corp., Taiwan Data Science Co.
InventorsCheng-Chien HSU, Chung-Tsen FAN CHIANG, Ying-Chiang CHO
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AssigneesTaiwan Feibal Technology Corp., Taiwan Data Science Co.
InventorsCheng-Chien HSU, Chung-Tsen FAN CHIANG, Ying-Chiang CHO
Estimating the term…
A method for optimally promoting decisions and a computer program product thereof are provided to perform a non-linear calculation by a computer to generate optimal information. The method for optimally promoting decisions includes: normalizing original data of a plurality of sources as a characteristic set; selecting a plurality of indicators from the characteristic set to form a decision set; receiving the decision set and determining whether the original data of the sources that corresponds to the indicators has a change, correspondingly adjusting a learning weight vector when it is determined that the change has occurred, and obtaining an optimal solution and a worst solution according to the learning weight vector and the decision set; and generating the optimal information according to the optimal solution and the worst solution. Accordingly, the optimal information can be quickly and accurately provided, as a reference for making decisions.
A method for optimally promoting decisions, provided to perform a non-linear calculation by a computer to generate optimal information, wherein after acquiring original data of a plurality of sources, the computer performs the non-linear calculation immediately, and the accuracy of the optimal information is improved, and the method for optimally promoting decisions comprises the following steps:
A computer program product for optimally promoting decisions, wherein after being loaded by a computer to perform a non-linear calculation, the computer program product generates optimal information, and the accuracy of the optimal information is improved, and the computer program product comprises:
Dependencies are inferred from the claim text.