stochastic decision 中文意思是什麼
stochastic decision
解釋
隨輝決策- stochastic : adj. 1. 機會的；有可能性的;隨便的。2. 【數學】隨機的。
- 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。
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This paper takes mobile engineering department equipment management of daqing petrochemical parent company as an example, and studies the design and application of equipment management system of daqing petrochemical parent company, for the implement of computerizing the equipment entire process management with the equipment management system and completing the synthesis management, the records management, the expense management, the fixed asset management, the specialized management and the information management with the computer system and making in the manual management some qualitative and stochastic ingredients transforming into the quantitative standard management. so it guarantees that we can perform advanced predicting management in the entire process of the matter movement and the value movement of equipment and complete the equipment servicing transition from the compulsory servicing and afterwards servicing to the preventive servicing, improving work quality, efficiency and modernized degree which the equipment manages and assisting enterprise ’ s equipment management decision - making and the whole realization of management goal and enhancing the enterprise ’ s interior equipment utilization and realizing its maximum profit
本文以大慶石化總廠機動工程部的設備管理為例，對大慶石化總廠設備管理系統的設計與應用進行研究，旨在通過設備管理系統實現設備全過程管理計算機化，由計算機系統來完成設備的綜合管理、檔案管理、費用管理、固定資產管理、專業管理及信息管理，使人工管理中一些定性的、隨機的成分轉變為定量的規范的管理，保證大慶石化總廠對設備的物質運動和價值運動的全過程實行先進的可預知性管理，並逐漸將設備維修從目前的以強制性維修及事後維修為主過渡到以預防性維修為主，提高設備管理的工作質量、效率和現代化程度，輔助企業的設備管理工作決策及經營管理目標的整體實現，提高大慶石化總廠內部設備的利用率及實現其最大的經濟效益。 -
It is proved that the investment decision - making process which is described by general backward stochastic differential equations ( bsdes ) can be approached by discrete investment
摘要證明了一般的倒向隨機微分方程所描述的投資決策過程可用離散的投資決策過程進行逼近，並給出了逼近誤差的估計。 -
Markov decision process, in short mdp, is also called sequential stochastic optimization stochastic optimum control. the controlled markov process or stochastic dynamic programming is the theory on stochastic sequential decision
馬爾可夫決策過程（ markovdecisionprocesses ，簡稱mdp ，又稱序貫隨機最優化、隨機最優控制、受控的馬爾可夫過程或隨機動態規劃）是研究隨機序貫決策的問題的理論。 -
Based on the modified house of quality, the chance - constrained programming model is developed to determine the optimal striving targets by stochastic simulation and genetic algorithm, and the 0 - 1 integer programming model is derived for the decision - making of reengineering objectives
基於改進的質量屋建立了機會約束規劃模型，通過隨機類比和遺傳演算法確定最佳奮斗目標；建立了0 - 1整數規劃模型，用於經營過程重構目標的決策。 -
It also studies the problem of real option pricing when the underlying assets follow the pure jump poisson, mixed jump - diffusion merton and mean - reversion model, and obtains the price formula or partial differential equation to price and hedge the real option. when the value of real option can not separate from the value of project, or the uncertainties are endogenous to real option holder, it is difficult to pricing the real option by the ways of no - arbitrage. in this paper we present a approach named valuation with comparison, its basic point is to value the project or program with flexibility by means of decision tree analysis ( dta ) and stochastic dynamic programming ( sdp ), and the results are compared with that of non - flexibility, finally,
當實物期權的價值不能從項目價值中分離出來，或者影響基本資產價格的不確定性內生於期權的持有者時，此時實物期權的價值一般難以直接利用無套利方法得到，本文通過對現有文獻進行歸納，提出一種比較定價法，其基本要點是利用決策樹、動態規劃法或二叉樹模型等技術來確定嵌有柔性的項目或方案的價值，然後將其與沒有柔性的項目或方案進行比較，從而獲得各種柔性的價值，作為這種方法的一個應用，本文研究了柔性勞動合約的設計與定價問題，研究表明，對企業重要員工採用長期勞動合約，而對一般員工採用短期合約可以節約勞動力使用成本。 -
This paper applies the theory of stochastic optimal control to deal with the optimal investment strategy problem for defined - contribution occupational pension scheme, sets up the optimal investment models under the minimum payment loss of the occupational pension funds in the deterministic and stochastic contribution cases respectively, solves the hjb equations to obtain the explicit form solutions of the optimal investment decision and payment polices, and then uses monte carlo simulation for the optimal strategy in the deterministic contribution case
摘要利用隨機控制理論研究繳費確定型企業年金的最優投資策略，分別在固定繳費和隨機繳費情形下，建立基於給付損失最小化的企業年金最優投資模型，通過求解hjb方程得到最優投資策略和給付水平的顯式解，並對固定繳費時的最優策略進行蒙特卡洛模擬模擬。 -
The non - renewable resources is introduced into the production function, this paper formulated the optimum decision - making model of social planer, used the stochastic analysis method, analyzed optimum decision - making which the social planer about the expense and the non - renewable resources utilize under the indefinite condition, and obtained the optimum storage quantity of capital demonstration way and the density of stability distribution, and give the policy meaning of the model
摘要將不可再生資源引入生產函數構建了一個社會計劃者的最優決策模型，運用隨機分析方法，分析了不確定條件下社會計劃者關于消費和不可再生資源利用的最優決策，得到了最優資本存量的顯示路徑及穩態分佈密度，並給出了模型的政策含義。 -
Keywords : industrial engineering, industrial management, operations research, management sciences, production systems, operations management, supply chain management, management of technology, quality engineering and management, reliability engineering, six - sigma, lean manufacturing and lean enterprise, information systems engineering and management, enterprise management systems engineering, semiconductor manufacturing, health care systems, data mining, financial engineering, simulation, optimization, decision sciences, stochastic systems ， probability and statistics
關鍵詞：工業工程，工業管理，運籌學，管理科學，生產系統，運作管理，供應鏈管理，技術管理，質量工程和管理，可靠性工程，六西格馬，精益製造與精益企業，信息系統工程與管理，企業管理系統工程，半導體製造，醫療系統，數據挖掘，金融工程，系統模擬，優化，決策科學，隨機系統，概率和統計。 -
From the angle of uncertainty of inflow and water consumption, the risk of water dispatching on the lower reaches of the yellow river is analyzed. inflow series are generated by use of the method of representative disaggregation. water consumption series are generated according to rainfall probability distribution. a model for risk analysis of water dispatching is established with the technique of stochastic simulation, and a quantitative description of risk is presented, thus, making the water dispatching decision - making more scientific
從來水和用水不確定性角度分析黃河下游水量調度風險.對來水採用典型解集方法生成來水系列，對用水根據降雨概率分佈生成用水系列，利用隨機模擬技術建立了水量調度風險分析模型，給出風險的定量描述，從而使水量調度決策更加符合實際 -
Considering the behavior of decision - makers and stochastic of effect factors, author wants to analyze the risk during ship operation more effectively. the decision rule is minimum of bayes risk
旨在充分考慮了決策者行為及影響因素隨機性的基礎，更科學合理地分析船舶投資項目在投入運營後面臨的風險，以貝葉斯風險最小的方案為決策的最優方案。 -
The decision - making flexibilities implied in the exclusive publishing rights are depicted as the options to defer investments. a stochastic process of returns is constructed. the implicate solution to the price of the exclusive publishing rights is established after the dynamic duplication and the settlement of black - scholes equation
（ 2 ）在知識產權貿易領域引入實物期權思想，把專有出版權蘊涵的決策柔性刻畫成等待投資型期權，並構造收益的隨機過程，經過動態復制和大連理工大學博士學位論文求解black scholes方程后得到專有出版權價格的隱式解，再運用迭代法求取相應的數值解。 -
Pseudo excitation method ( pem ) is used, thus one random process excitation can be transformed into a deterministic transient excitation, so the joint - random problem is turned into a single - random problem accurately, it can be solved easily by means of perturbation method and sequence orthogonal decomposition theory respectively. the probabilistic approach is used to transform stochastic optimization into deterministic optimization, therefore the optimization can be achieved through multiple objective decision making theory
以虛擬激勵法為基礎，將隨機過程激勵轉化為確定性動力激勵，從而將復合隨機問題精確地轉化為僅結構參數具有隨機性的問題，分別利用攝動理論和次序正交分解理論推導了確定性動力激勵下隨機結構響應特徵，採用概率方法將隨機優化問題轉化為確定性優化問題，從而可以通過多目標決策理論進行結構優化設計。 -
This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty ( stochastic control )
這門課程涵蓋了不確定情況下（隨機控制）連續決策組合問題的基本模型與解題技巧。 -
12 li h, yamanishi k. text classification using esc - based stochastic decision lists. in proc
但是有的時候僅僅基於句子級頻繁項目集的相似度判斷是不夠的。 -
To make it clear, the article use and analyze numerical value cases from bellmum and zadeh. finally in order to work out the value function in all forms and the expected value of optimization in all aspects easily, we take down all the problem existing in multi - stage stochastic decision processes. the solution of optimum is formed and multi - stage stochastic decision tree - table is introduced
為說明問題，本文利用bellman和zadeh [ 1 ]的數值例，應用兩種方法進行分析，最後為了更方便的解出對所有形式的評價函數，及其期望值的最優化解對各種進行的發展，把經過多階段概率決策過程的問題記述下來，構成一個最優解的統一圖表，引入了多段概率決策樹表。 -
6 based on the fuzzy optimal multi - dimension and multi - objective dynamic programming model, this paper presents a stochastic multi - dimensional and multi - objective fuzzy dynamic programming, it can be used in decision making among complex systems, which characterized by random inputs. two different methods are given, one is named stochastic maximum sum of relative membership degree, and the other is named stochastic multi - dimension staged fuzzy optimization theory
6 、在多維多目標動態規劃工作的基礎上，結合水文過程的隨機性和具有時序性的特點，提出了多維多目標隨機模糊優選動態規劃方法;並根據所研究問題的性質，給出兩種解法:隨機多維決策序列相對優屬度總和最大法和隨機多維多目標階段模糊優選法。 -
Stochastic model study of product mix decision based on activity - based costing
基於作業成本的產品組合決策隨機模型與求解 -
The main research objects are transferred structure control stochastic system. according to the condition of the system, a decision maker ( a man or a computer ) should select a way to control or affect the transfer of the system, so that each way decides the aimed function value of the stochastic process and the corresponding ones
其主要研究對象是轉移結構受控的隨機系統，根據系統的狀態，決策者（如人類或計算機）選取一個策略來控制或影響系統的轉移，從而每個策略可定義一個隨機過程和相應于該過程的目標函數值， mdp的目的是選取一個好的控制策略。
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