knowledge-based decision support system 中文意思是什麼

knowledge-based decision support system 解釋
基於知識的決策支持系統
  • 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。
  • based : 基準
  • 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,...
  • system : n 1 體系,系統;分類法;組織;設備,裝置。2 方式;方法;作業方法。3 制度;主義。4 次序,規律。5 ...
  1. The key technology of mpidss includes the distributed supported technology, the process control of cooperative working and the real - time control of the decision process, etc. based on the technologies of decision support system ( dss ), group decision support system ( gdss ) and distributed decision support system ( ddss ), with the theory of system engineering and artificial intelligence such as knowledge engineering, agent, etc, having the background of the items supported by the national 10th five - year plan foundation - the research on the technology of military programming intelligent decision support system, this paper focus its work on researching on the algorithm of mission decomposing and mission distributing, distributed support technology, real - time process control method and project evaluating technology, etc. further more, the architectural model of process control based on multi - agent alliance is put forward and the prototype system of mpidss is implemented

    這類決策問題與傳統的企業決策的不同點在於決策群體龐大、決策任務多且任務屬性各異、決策任務的求解具有實時性要求等。決策過程中的關鍵技術包括分散式支持技術、決策任務求解的過程式控制制技術以及實時任務的求解控制策略等。論文在繼承傳統的個體決策支持系統( dss ) 、群體決策支持系統( gdss )和分散式決策支持系統( ddss )技術的基礎上,結合系統工程思想以及人工智慧中的知識工程、 agent等前沿技術,以總裝備部十五預研課題? ? 「群體決策支持平臺」為課題背景,深入研究了分散式多任務群體決策過程中的任務分解與分配演算法、任務協作策略、分散式支持技術、實時控制技術,決策方案評價技術等,提出了用於過程式控制制的多agent聯盟體系結構模型,設計和實現了面向軍事作戰規劃的智能決策支持原型系統。
  2. An explore of student affair decision support system in higher education based on knowledge discovery in database

    基於知識發現的高校學生工作決策支持系統的探索
  3. 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 ) 。
  4. 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。
  5. Under the condition that the lower - layer elements and their dominating upper - layer elements are considered as the condition attributes and the decision attributes separately, the following problems are studied : refining of assessment index system, acquirement of index weight and the constructing of judgment matrix based on the reduction and the attribute importance theory in rough sets, which achieve the sufficiency use of field knowledge for analytical hierarchy process and decision support of the hierarchy problems for rough sets

    摘要將層次分析模型中下層因素與支配它的上層因素分別視為條件屬性和決策屬性,藉助粗糙集的約簡和屬性重要性理論,研究了融合粗糙集的層次分析法的指標體系的完善、指標權重的確定、判斷矩陣的構造等問題,實現了層次分析法時領域知識的利用及粗糙集對層次結構問題的決策支持。
  6. 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。
  7. Comparing to traditional rule - based system, case - based reasoning system has many advantages, which can predigest knowledge gathering and easily accumulate knowledge. case - based reasoning technology has been widely used in fault diagnosis and decision - making support which abound of experience knowledge but has neither good theoretic model nor complete field knowledge

    與傳統的基於規則的系統相比,基於案例推理的系統具有簡化知識獲取、便於知識積累等優點,在沒有很強的理論模型、領域知識不完全、經驗知識豐富的故障診斷、決策支持等領域得到了廣泛的應用。
  8. It is advanced that cdss should need some basic units which exist in dss, and present some characteristics and functions of dss. furthermore, cdss should play role in support for curricula - decision efficiently, improve decisionmaker ' s information environment and knowledge structure helpfully, and provide intelligence support for decisionmaker according to his ( or her ) requirement conveniently. in definition, cdss, based on the new platform of it, network and web, is an information system, which is not only composed of database, knowledgebase, modelbase, casebase and expert systems with curricula - decision self - characteristics, but also integrated by these function - basis

    在概念定義上,本文指出, 「課程決策支持系統是由具有課程決策自身特色的數據庫、知識庫、模型(模式)庫、案例庫和專家系統等基本結構或功能單元綜合成若干個功能模塊(諸如人才培養目標模塊、課程知識信息支持模塊、智囊模塊、約束條件與特色分析模塊等) ,並由這些功能模塊集成,以信息技術為支撐,建立在計算機網路這一全新平臺上的信息系統。 」
  9. 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。
  10. Intelligent decision support system, combined by artificial intelligent and decision support system, is a assistant support system using logical reasoning to solve complicated decision making problem and applying expert system technology to make decision support system applys fully knowledge of humanbeing, which is processing knowledge in decision making process and reasoning knowledge in solving problems. agricultual decision support system is based on agricultural information system, crop simulate system and agricultural expert system. the paper is agricultural decision system based on expert system, which is called agricultural intelligent decision system. the aim is to make area division on food crop comprehensively and dynamicly, and to release the result on internet, which provides decision foundation for leaders, agricultural technics and farmers to adjust planting structure, increases income and to solve “ three agrulture ” problem

    本文在研究作物生產條件與產量的關系的基礎上,經過三個層次的推理有機組合提取了預測知識模型。在產量預測實現過程中應用移動agent技術,將大量的計算推理在數據端處理,提高了預測的效率。 3 .應用webgis 、移動agent技術、 arcims 、 servlet / jsp 、動態web等技術,提出了地理信息發布的技術方案,實現了分散式地理信息在分佈、異構、動態環境下的實時高效的的透明訪問,進一步增強了農業智能決策系統的功能。
  11. According to the development of technology and the need of the building up national defense, the need of various optimum decision support of weapon system is rapid rising. this is a opportunity to develop and apply the intelligent decision support system based on the knowledge for the weapon system

    隨著科技進步與國防建設需求的增加,武器系統的各類最優決策問題日益增多,這為基於知識的武器智能決策系統的開發和應用提供了一個很好的機會。
  12. 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。
  13. It utilizes the learning advantages of case - based reasoning and the high efficiency of tabu - genetic algorithm to solve the problem of the knowledge - acquiring difficulty and the low retrieval efficiency while enhance the solving ability of the semi - structure and unstructure problems in decision support system

    利用案例推理技術的學習優勢,結合遺傳演算法與禁忌演算法高效的搜索機制,可望部分解決現存決策支持系統知識獲取困難和檢索效率低下的問題,提高其解決半結構化和非結構化問題的能力。
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