CA3025302A1 - Processus d`integration de donnees qualitatives quantifiees dans une analyse - Google Patents
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/90—Financial instruments for climate change mitigation, e.g. environmental taxes, subsidies or financing
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- Business, Economics & Management (AREA)
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- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
Un premier type d'outil d'analyse de décision intelligente transformant des chaînes de texte qualitatives quantifiées utilisant des flux de travail semi-automatisés et automatisés (1, 1A, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,11A, 11B, 11C, 12, 13, 13A, 13B, 13C, 13D, 14, 15, 16, 17, 18, 19, 19A, 19B, 19C, 20, 20A, 21, 22, 23, 24, 25, 26, 26A, 26B, 26C, 26D, 27, 28, 29, 30, 31, 32, 33) disposant d'une base de données relationnelle (1, 1A, 2, 10, 30) incorporant une caractéristique unique de sécurité du système où la rotation du tampon de la tête de calcul du décalage de catégorie primaire vers la queue (1, 1A, 2, 3, 16, 17, 19, 30) réduit l'ingénierie inverse des éléments incorporels de traitement statistique (1, 3, 19, 19A, 19B, 19C, 32) par l'intermédiaire d'un pipeline de données (30) comprenant des données qualitatives aboutissant à un mélange de variables de chaîne ayant des relations de données (27, 29, 30), ou des formes de données, ou des modèles à partir de chaînes de texte de données narratives (17, 29, 30) correspondant aux unités de mesure (1, 2, 3, 8, 9, 11B, 13B, 15, 16, 17, 19, 19A, 19B, 19C, 20, 20A, 27, 28, 29, 32, 33) en obtenant des valeurs numériques (8, 9, 1IB, 13B, 15, 16, 17, 19, 32) et des niveaux statistiques précis de mesure (1, 17, 19A, 19B, 19C, 20, 20A, 23, 27, 28, 29, 30, 32, 33) dans cinq opérations avancées (1, 17, 19A, 19B, 19C, 20, 20A, 27, 28, 29, 30, 32, 33) en convertissant les transformations des requêtes de texte de données narratives en nombres comptables (2, 8, 9, 11, 11A, 11B, 11C, 12, 13, 13A, 13B, 13C, 13D, 14, 15, 16, 17, 19) produisant une forme unique d'analyse contextuelle et relationnelle des données (17, 19, 29, 30, 32, 33) pour résoudre les problèmes qualitatifs à l'aide de données mesurables (17, 32) améliorer l'évaluation des biais, (1, 3, 17, 18, 19, 19A, 19B, 19C, 20, 20A, 21, 22, 23, 32, 33) ou évaluer le texte subjectif, ou les éléments incorporels, ou les revendications de manière comparable (1, 3, 17, 18, 19, 19A, 19B, 20, 20A, 25, 32), ce qui donne lieu à des rapports fondés sur des preuves. (31, 32, 33) pour l'analyse des décisions (17, 18, 19, 19A, 19B, 19C, 20, 20A, 22, 23, 26, 26A, 26B, 26C, 26D, 29, 31, 32) avec hiérarchisation, classement ou notation des attributs subjectifs à l'aide de preuves mathématiques (1, 3, 19C, 20, 26, 26A, 26B, 26C, 26D, 32, 33).
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CA3025302A CA3025302A1 (fr) | 2018-11-26 | 2018-11-26 | Processus d`integration de donnees qualitatives quantifiees dans une analyse |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CA3025302A CA3025302A1 (fr) | 2018-11-26 | 2018-11-26 | Processus d`integration de donnees qualitatives quantifiees dans une analyse |
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| Publication Number | Publication Date |
|---|---|
| CA3025302A1 true CA3025302A1 (fr) | 2020-05-26 |
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|---|---|---|---|
| CA3025302A Pending CA3025302A1 (fr) | 2018-11-26 | 2018-11-26 | Processus d`integration de donnees qualitatives quantifiees dans une analyse |
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| Country | Link |
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| CA (1) | CA3025302A1 (fr) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111815487A (zh) * | 2020-06-28 | 2020-10-23 | 珠海中科先进技术研究院有限公司 | 基于深度学习的健康教育评估方法、装置及介质 |
| CN112037080A (zh) * | 2020-08-03 | 2020-12-04 | 森诺科技有限公司 | 一种用于石油专业工程定额编制数据处理方法 |
| CN113435780A (zh) * | 2021-07-14 | 2021-09-24 | 北京信息科技大学 | 一种基于神经网络的应急通信感知装备体系效能评估方法 |
| US20220148114A1 (en) * | 2019-03-13 | 2022-05-12 | Acm Risk Sciences & Development Inc. | Methods and systems for implementing and monitoring process safety management |
| CN114745148A (zh) * | 2022-01-06 | 2022-07-12 | 华东师范大学 | 基于动态规划的车载网络can总线入侵检测方法及系统 |
| CN114757549A (zh) * | 2022-04-24 | 2022-07-15 | 中交第二航务工程勘察设计院有限公司 | 内河干流航道水上服务区功能与规模决策方法 |
-
2018
- 2018-11-26 CA CA3025302A patent/CA3025302A1/fr active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220148114A1 (en) * | 2019-03-13 | 2022-05-12 | Acm Risk Sciences & Development Inc. | Methods and systems for implementing and monitoring process safety management |
| CN111815487A (zh) * | 2020-06-28 | 2020-10-23 | 珠海中科先进技术研究院有限公司 | 基于深度学习的健康教育评估方法、装置及介质 |
| CN111815487B (zh) * | 2020-06-28 | 2024-02-27 | 珠海中科先进技术研究院有限公司 | 基于深度学习的健康教育评估方法、装置及介质 |
| CN112037080A (zh) * | 2020-08-03 | 2020-12-04 | 森诺科技有限公司 | 一种用于石油专业工程定额编制数据处理方法 |
| CN113435780A (zh) * | 2021-07-14 | 2021-09-24 | 北京信息科技大学 | 一种基于神经网络的应急通信感知装备体系效能评估方法 |
| CN114745148A (zh) * | 2022-01-06 | 2022-07-12 | 华东师范大学 | 基于动态规划的车载网络can总线入侵检测方法及系统 |
| CN114745148B (zh) * | 2022-01-06 | 2023-02-07 | 华东师范大学 | 基于动态规划的车载网络can总线入侵检测方法及系统 |
| CN114757549A (zh) * | 2022-04-24 | 2022-07-15 | 中交第二航务工程勘察设计院有限公司 | 内河干流航道水上服务区功能与规模决策方法 |
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