random uncertainty 中文意思是什麼
random uncertainty
解釋
隨機不定度- random : n 〈罕用語〉胡亂行為，偶然的[隨便的]行動[過程]。adj 1 任意的，胡亂的，隨便的；（話等）信口亂說的...
- uncertainty : n. 1. 不確定，不確實，易變；不可靠；含糊。2. 不確實知道，半信半疑。3. 【物理學】測不準性。
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But my focus was specially laid on the decision - making of investment under uncertainty and with competition, i first. extend the basic model of dixit & pindyck ' s by allowing the relevant parameter to be a random variable, then proposed an numerical example to show how to solve this model, i gave the algorithm and did the comparative static analysis, finally i developed a model of duopoly under uncertainty, considering the competition between the firms explicitly, using roa, i calculated the two firm ' s values respectively when they take different roles - to be leader or follower, and then checked the possible equilibriums
本文的重點是考察在同時存在不確定性和競爭的情況下，如何用實物期權的理論估算投資項目的價值，為此，文中發展了兩個模型，第一個模型是對dixit & pindyck的模型的擴展，它通過一個相關的隨機變量來考察競爭對項目價值的影響，但沒有考慮企業間的相互博弈，文中給出了一個例子詳細地說明了該模型的求解並做了敏感性分析；第二個模型是一個不確定情況下的雙寡頭模型，文中給出了用實物期權方法計算的兩企業在處于領導者和跟隨者兩種不同境況時的價值，並將企業間的相互博弈考慮在內，考察了可能的均衡狀態。 -
Based on rough set theory, the relationship between belief function and inner measure belief function and lower probability of a random set are discussed, then we give a interpretation of these uncertainty measure
本文以粗糙集為基礎，研究了信任函數與內測度、信任函數與隨機集的下概率之間的關系，並給出了它們基於粗糙集理論的解釋。 -
Robust optimization is a kind of valid design method that improves the product performance, combining robust and optimization, it adjusts name values of design variables and controls its deviation to promise robustness of the optimization solution. robust optimization includes : ( 1 ) selecting the random factor and turning with quantity ; ( 2 ) uncertainty analysis ; ( 3 ) applying results of uncertainty analysis in robust optimization models
穩健優化設計方法是提高產品性能的一種有效的設計方法，是穩健設計和優化設計兩種方法的結合，它是通過調整設計變量的名義值和控制其偏差來保證設計最優解的穩健性，包括三個步驟: （ 1 ）隨機因素的確定與量化; （ 2 ）不確定分析; （ 3 ）在穩健優化模型中合理地應用不確定分析的結果。 -
Abstract : in this paper, the formula in the evaluation of standard uncertainty for the parameter in smooth change is derived from characteristics of random error
文摘:根據隨機誤差的特性，推導了測量平穩變化參數時評定標準不確定度的計算公式。 -
And then, it especially introduces the theoretical basis of pert predicted method and the technology of monte - carlo simulation, it ascertain the random variables of the model by analysing the uncertainty factors of economic effect index. and it brings forward random npv model in the light of basic npv model. using the theory of expected utility to evaluate the risk of project by the probability distribution of project ' s npv
通過分析影響項目經濟效益指標的不確定性因素，確定了模型的隨機變量；根據基本凈現值模型提出了隨機凈現值模型；通過項目凈現值的概率分佈運用期望效用理論對項目的風險進行評價。 -
It involves much fields, such as politics, economy, society, public health effects, meteorological phenomena and ecological environments and so on, besides that some common problem of multi - attribute decision make, for instance, uncertainty and random, etc. there are many factors : political influence, costs, averted dose, stress reduction, social and political acceptability etc, must be considered in the procedure of decision - making
早期核電站應急除要考慮事故源項、氣象變化、風場、周邊人口，資源、交通和環境變化等因素外，還要考慮代價、健康影響、最大受照個人劑量，個人避免劑量，集體避免劑量，政治因素，公眾心理等因因素（或屬性） 。 -
This paper reviewed the history of slope stability analysis, compared all the methods used for slope stability analysis, and analyzed the shortcomings of the methods used for searching the failure surface, for reasons of a lot of uncertainties, for example random uncertainty and fuzzy uncertainty, are existed in the slope engineering
由於邊坡工程中存在著大量隨機性、模糊性等不確定因素，傳統的一些分析、評價方法難以滿足日趨復雜的工程分析與設計要求。本文將遺傳演算法用於邊坡工程的穩定性分析與設計中，根據遺傳演算法（ geneticalgorithms ）的概念，討論了遺傳演算法的基本原理和方法。 -
In the third chapter, the origin of uncertainty and random field model as well as the probability characteristics of soil parameters, including self - correlation and cross - correlation, are introduced
第三章分析土性參數的概率統計特性，包括參數不確定性的來源、隨機場理論模型、土性參數的自相關性和互相關性等。 -
The diesis studies many prevalent consumption theories and functions, such as keynesian consumption theories with absolute income hypothesis and relative income hypothesis as representatives, certainty - type consumption decision theories with permanent income hypothesis and life cycle hypothesis as representatives, uncertainty - type consumption decision theories with random - walk hypothesis as representative. some consumption functions under complicate conditions have also been given in die diesis
論文對以絕對收入假說相對收入假說為代表的凱恩斯主義消費理論、以生命周期持久收入假說為代表的確定型消費決策理論、以隨機行走假說為代表的不確定型消費決策理論等主流消費理論進行了剖析，並給出了一些在復雜的消費決策條件下的消費函數。 -
But it is difficult to determine the productive time of a working procedure, there is uncertainty of it. this uncertainty is random, fuzzy and intermediate uncertainty, which can be dealed by connection number method
然而在許多情況下，估計項目活動持續時間是非常困難的，項目活動時間具有不確定性，聯系數是用來處理模糊，隨機，中介不確定性的系統理論和方法。 -
Second, cost is analyzed from various angles and conclusion is made that the cost in this dissertation is accountant cost, individual cost and general cost. third, uncertainty of cost is researched on and it submit to random distribution
然後從不同角度對成本進行分析，得出本文所指的成本分別是會計成本、企業個別成本和總成本的結論，為分析成本構成奠定了基礎。 -
This paper studies a design method of decentralized signal detection system which consists of adaptive fuzzied local - detectors and a data fusion rule of on - line self - learning weights. the local - detectors for inaccurate signal parameters are modeled by means of fuzzy sets which can be adapted to change of the inaccurate signal parameteres. the data fusion center where the optimal declsion rules are used as objective function can learn the local decision weights on - line. the robustness of the fuzzied local - detectors and the adaptability of the self - learned fusion rule make it true that the detection performance of the decentralized detection system is improved under uncertainty and this system can also process the decentralized signal detection with a unknown parameter of unknown distribution or non - random unknown parameter
本文研究了一種由局部自適應模糊檢測器和在線自學習融合演算法所構成的分散式信號檢測系統的設計方法.由模糊集對不精確信號參數的局部檢測器進行建模，該模糊模型可自適應不精確信號參數的變化.融合中心以最佳融合規則作為目標函數在線自學習局部判決的權重.局部模糊檢測器的魯棒性和自學習融合演算法的自適應性使該分散式檢測系統在不確定環境下的檢測性能得到提高.也使該系統能夠處理未知分佈的未知參數以及非隨機未知參數的分散式信號檢測 -
From the formula, it can be inferred that each uncertainty parameter is a linear combination of the random errors at the measurement points
根據分析結果得知，每一個不確定度參數是測點隨機誤差的線性組合。
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