data knowledge and decision support 中文意思是什麼

data knowledge and decision support 解釋
數據知識和決策支持
  • data : n 1 資料，材料〈此詞系 datum 的復數。但 datum 罕用，一般即以 data 作為集合詞，在口語中往往用單數...
  • knowledge : n. 1. 知識；學識，學問。2. 了解，理解；消息。3. 認識。4. 〈古語〉學科。5. 〈古語〉性關系。
  • and : n. 1. 附加條件。2. 〈常 pl. 〉附加細節。
  • decision : n. 1. 決定。2. 判決。3. 決議。4. 決心；決斷。5. 【美拳】（根據分數而不是根據擊倒對方做出的）裁判。
  • support : vt 1 支承，支撐；支持；支援，維護。2 援助；擁護，贊助。3 扶養，贍養（家屬）；資助，維持。4 鼓舞，...
  1. His areas of specialization cover the development and application of intelligent spatial decision support systems, spatial optimization, fuzzy sets and logic for spatial analysis, geocomputation, spatial data mining and knowledge discovery

    他的專門研究范圍包括智能空間決策支援系統、空間優化、空間分析的模糊集合及邏輯、地理計算學、空間數據發掘及知識發現。
  2. This research focused on applying the system analysis principle and mathematical modeling technique to study knowledge expression system for crop cultivation management. based on extensively collecting, understanding, analysis, and integration of expert ' s knowledge and experience, literature and experiment data for cotton cultivation management, the dynamic relationships of cotton growth and management indices to variety types, ecological environments and production levels were quantified, and a dynamic knowledge model for cotton management ( cottonknow ) was developed. by further incorporating the rule - based knowledge system for cotton management, a comprehensive and intelligent knowledge model - based decision support system for cotton management ( kmdsscm ) was established with component design

    本研究著重利用系統分析原理和數學建模技術來研究作物栽培管理的知識表達體系，在廣泛收集及充分理解和分析棉花栽培管理專家知識、經驗和資料的基礎上，利用棉花栽培理論與技術方面的現有研究成果，並結合必要的試驗支持，解析、提煉和綜合棉花生育及管理指標與品種類型、生態環境及生產水平之間的定量化關系，首次構建了棉花栽培管理動態知識模型，並進一步結合基於知識規則的棉花栽培管理知識庫表達系統，設計和實現了綜合性、智能化和構件化的基於知識模型的棉花管理決策支持系統（ kmdsscm ） 。
  3. This research investigated the variability and the quantitative relationships among soil nutrients ( soil ph, total n, organic matter, available p ), growth status ( spad, lai and spad lai ) and yield of rice. all data were analyzed by both classical statistics and geostatistics based on gis. by further integrating gis, gps and crop management knowledge model, a decision support system for precision farming ( dsspf ) was developed, which laid a technical foundation for the practical application of precision farming system

    本研究基於gis技術，以經典統計和地統計學為分析手段，確立了田區土壤養分（土壤ph 、全氮、有機質、速效磷、速效鉀） 、水稻作物長勢（ spad 、 lai 、 spad * lai ）和產量的空間變異特徵及定量關系；進一步以作物管理知識模型為智能決策支撐，提出了gis與模型及gis與gps的組件化集成技術，構建和實現了基於田區作物產量、土壤養分和苗情監測差異的精確農作決策支持系統（ dsspf ） ，為精確農作系統的應用奠定了技術基礎。
  4. At the last, we analyses the application results of the management information system of software enterprise. the main idea in this paper is designing the management information system. it reaches these targets : realize the information of software process into information and automation ; gain, show and analyses project process data timely in order to support project and organization decision and to gain their support for the improvement of the process ; solidify the flow standardization and manage the knowledge fortune of the organization and provide scientific view about the change of organizational

    本文通過軟體企業管理信息系統的設計與實現，達到了如下目標:實現了軟體企業軟體過程信息化與管理自動化;實現了軟體過程數據的實時獲取、呈現和分析，有力的支持了組織對軟體項目的控制、管理和決策;實現了軟體生產流程的固化，規范和統一了軟體開發管理組織的知識，對組織的過程能力變化提供了科學的視圖，使知識管理和過程改進工作邁上量化的臺階;實現了軟體項目管理的無紙化辦公。
  5. A model of spatial decision support system based on spatial data mining was established after making research on application and integration of spatial data mining, " 3s " technology and environment model, which include designing of data base, knowledge base, model base and their management system, inference engine and intelligent data mining engine ; 2. a model using artificial neural networks to forecast in coast environment in fujian was established, and a method applying multivariate decision tree to remote sensing classification was presented ; 3. a novel and shortcut method realizing artificial neural networks was presented, and then we put forward method realizing decision tree and realized it in prototype

    論文的主要內容概括起來有： （ 1 ）對空間數據挖掘技術、 「 3s 」技術、環境模型在空間決策支持系統中的應用與集成進行了研究，提出了一種基於空間數據挖掘的環境調控空間決策支持系統的模型，包括模型庫及其管理系統、知識庫及其管理系統、數據庫及其管理系統、推理機以及數據挖掘智能引擎等的設計； （ 2 ）建立了人工神經網路在福建省海岸帶環境預測中應用的模型，提出了復合決策樹演算法在遙感分類的應用方法； （ 3 ）提出一種新穎的、簡便快捷的人工神經網路的實現方法，以及決策樹的實現方法，並在原型系統中作了實現。
  6. The modeling process is based on data mining technology, which can automatically discover the rules and knowledge in desulfuration process, and then provides the decision support, improves the desulfuration effect and decreases the cost. the successful use of this static model will be a solid prerequisite for full automatic dusulfuration in the future

    本文以國內某大型鋼鐵公司為背景，採用數據挖掘方法建立脫硫靜態模型，自動尋找脫硫過程的規律和知識，從而對脫硫過程進行決策支持，提高脫硫效果，降低脫硫成本，為全自動脫硫創造了良好的條件。
  7. Data mining, also named as kdd ( knowledge discovery in database ), is a decision support method in which we can pick up many connotative, unkn - own, potential and useful knowledge or information mode from database or data warehouse. the knowledge that is discovered by means of data minning can reflect a certain facts and guide practice

    數據挖掘（ datamining ） ，又稱知識發現，是利用各種分析工具在存放海量數據的數據庫或數據倉庫中提取隱含的、先前未知的、潛在有用的知識或信息模式的決策支持方法。通過數據挖掘發現的知識能夠反映一定的客觀事實，並指導實踐。
  8. This paper does research on spatial data mining technology applied in environment regulation, and on technology integrated spatial data mining and spatial decision support system. the integrated model for environment regulation spatial decision support system based on spatial data mining was established ; spatial data mining intelligent engine was designed, which can choose algorithms intelligently in data mining. environment database, knowledge data base and model base were designed, which is based on the characteristic of environment datum in fujian coast

    本文研究空間數據挖掘技術在環境調控中的應用和空間數據挖掘技術與空間決策支持系統的集成，提出了一種基於空間數據挖掘的環境調控空間決策支持系統模型；設計了空間數據挖掘智能引擎；根據福建省海岸帶環境數據的特點，對福建省海岸帶環境數據庫、知識庫與模型庫作了設計，最後開發了福建省海岸帶環境調控決策支持原型系統。
  9. Data knowledge and decision support

    數據知識和決策支持
  10. They are a new type of neural networks. generalized model server provides the sharing and access abilities to decision resources in network environment. the server unifies organization, management and running of generalized models ( model, algorithm, plan, knowledge, instance and so on ), which provides intercommunion between different resources, supports the running of data mining algorithms, support synchronous access of clients system, and provides remote accessing mechanism by management language ( rml )

    廣義模型服務器實現了網路環境下決策資源的共享和存取，它能夠對各種決策資源，如模型（包括數學模型、數據開采方法等） 、方案、知識、實例等，進行統一組織、管理和運行；支持多種決策資源之間的交互；支持多客戶的同時訪問；管理命令語言（ rml ）提供了遠程客戶訪問服務器的手段。
  11. This paper describes the concept, system structure of the decision support system ( dss ) firstly, then introduces the database, model library, knowledge library and arithmetic library of the dss. subsequently, this paper describes the design of the data warehouse in details

    本文首先對決策支持系統（ dss ）的概念、體系結構進行了簡要的介紹，闡述了dss的數據庫系統、模型庫系統、知識庫系統以及方法庫系統。
  12. Secondly, a database system is constructed by the technique of the database. thirdly, the data in the database is analyzed multidimensionally by the technique of database digging and olap, adopting tools provided by sql server2000 to abstract comprehensive information which is available to analysis and decision - making and to gain a great deal of useful knowledge supply a rational decision - making support for cadres ’ appointment and remove

    第三，利用數據挖掘技術和聯機分析技術，採用sqlserver2000所提供的工具，建立多維數據集，並對數據倉庫中的數據進行多維分析，從中提煉出利於分析和決策的綜合信息，獲得大量有用知識，為幹部的選拔任用和培養提供更加合理的決策支持。
  13. In order to ensure the lowest cost, using the methods of the plant management and operational research theory realize the maintenance according to the classification of the plant. because of the data which associated with the classification, optimized maintenance cycle, maintenance decision is very much, we must setup the plant maintenance decision support system which includes knowledge database, database, model database, and reasoning mechanism based on the using of the modern information analysis and collection of the experience and knowledge of the experts

    由於設備分類、最佳維修周期求解或預測、決策分析處理，都將涉及大量復雜的信息，要想從中獲取對實施維修有指導意義的結論，仍採用老式的經驗判斷是不夠的，必須利用現代的信息分析、處理及推理方法，廣泛收集該領域專家的經驗、知識，建立相應的知識庫、數據庫、模型庫、推理機等，藉助計算機完成設備的綜合維修決策，實現對這一系統具有真正價值的維修指導。
  14. People do n ' t want gis only to show map simply and to make map automatically. people expect to get more knowledge from it. so dm ( data mining ) and idss ( intelligent decision support system ) are imported into gis

    人們對gis的要求已經不再局限於簡單的圖層顯示和自動制圖，人們期望從中獲得更多的知識，因而提出了將數據挖掘、智能決策引入gis中。
分享友人
分享到 Line

分享到臉書