本文選題：粗糙集 + 屬性約減��； 參考：《北京交通大學(xué)》2017年博士論文

【摘要】：災(zāi)難醫(yī)學(xué)救援以最大限度地減輕自然災(zāi)難或人為災(zāi)難對(duì)人類(lèi)生命造成的危害為目標(biāo),在災(zāi)難救援過(guò)程中發(fā)揮著舉足輕重的作用。然而,當(dāng)前的災(zāi)難醫(yī)學(xué)救援行動(dòng)多數(shù)基于經(jīng)驗(yàn)指導(dǎo)層面,僅憑借主觀(guān)評(píng)估難以快速準(zhǔn)確的鎖定救援需要的各類(lèi)資源的數(shù)量和品類(lèi),無(wú)法滿(mǎn)足大規(guī)模災(zāi)難對(duì)醫(yī)學(xué)救援資源的需求。本文的主要內(nèi)容是以災(zāi)難醫(yī)學(xué)救援作為研究對(duì)象,基于粗糙集理論建立醫(yī)學(xué)救援分類(lèi)相關(guān)的理論體系,通過(guò)對(duì)各類(lèi)災(zāi)難的分類(lèi)指導(dǎo),建立醫(yī)學(xué)救援系統(tǒng)的分類(lèi)因素與措施適應(yīng)集合,可為實(shí)際災(zāi)難救援活動(dòng)中實(shí)施有效管理,優(yōu)化資源分配提供決策支持,從而提高醫(yī)學(xué)救援的及時(shí)性、準(zhǔn)確性、科學(xué)性、有效性。從災(zāi)難應(yīng)對(duì)角度,可以根據(jù)災(zāi)難醫(yī)學(xué)救援特征對(duì)災(zāi)難進(jìn)行重新組合分類(lèi)。論文對(duì)傳統(tǒng)的粗糙集模型進(jìn)行了拓展,設(shè)計(jì)了適應(yīng)于災(zāi)難醫(yī)學(xué)救援綜合特征的多決策屬性粗糙集模型,結(jié)合災(zāi)難救援實(shí)際決策特點(diǎn)設(shè)計(jì)并計(jì)算了"災(zāi)難因素依賴(lài)度"、"災(zāi)難粗糙隸屬度",將遺傳算法與粗糙集條件屬性約簡(jiǎn)算法進(jìn)行有機(jī)結(jié)合,對(duì)災(zāi)難醫(yī)學(xué)救援知識(shí)系統(tǒng)進(jìn)行了約簡(jiǎn)計(jì)算,有效提取了災(zāi)難醫(yī)學(xué)救援決策表中的規(guī)則,為災(zāi)難分類(lèi)提供更加準(zhǔn)確的數(shù)據(jù)及模型基礎(chǔ)。進(jìn)一步的,由于傳統(tǒng)粗糙集處理連續(xù)信息的能力有限,論文將模糊理論與粗糙集理論進(jìn)行了有機(jī)結(jié)合,針對(duì)災(zāi)難中的傷情程度和救援方案,設(shè)計(jì)引入隸屬函數(shù),構(gòu)建出具有多決策屬性的模糊粗糙集模型,將遺傳算法和模糊粗糙集條件屬性約簡(jiǎn)算法進(jìn)行有機(jī)結(jié)合,對(duì)知識(shí)系統(tǒng)進(jìn)行了約簡(jiǎn)計(jì)算,有效提取了模糊災(zāi)難決策表中的決策規(guī)則,對(duì)模型進(jìn)行優(yōu)化,更加貼近于現(xiàn)實(shí)。以上述模型為基礎(chǔ),論文帶入汶川、玉樹(shù)、蘆山地震救援案例和實(shí)際數(shù)據(jù),進(jìn)行了計(jì)算分析。最后基于上述結(jié)果梳理出了我國(guó)基于災(zāi)難醫(yī)學(xué)救援視角的災(zāi)難分類(lèi)建議和地震救援的醫(yī)學(xué)特征分類(lèi)建議,并系統(tǒng)分析提出了涉及我國(guó)災(zāi)難醫(yī)學(xué)救援管理的相關(guān)措施和建議。
[Abstract]:The aim of disaster medical rescue is to minimize the harm to human life caused by natural disaster or man-made disaster, which plays an important role in the disaster rescue process. However, most of the current disaster medical rescue operations are based on the experience guidance level, relying solely on subjective evaluation to quickly and accurately lock the number and category of various kinds of resources needed for rescue, which can not meet the needs of large-scale disasters for medical rescue resources. The main content of this paper is to take the disaster medical rescue as the research object, based on the rough set theory to establish the medical rescue classification related theory system, through the classification of all kinds of disasters guidance, The establishment of classification factors and measures for medical rescue system can provide decision support for effective management and optimization of resource allocation in actual disaster relief activities, thus improving the timeliness, accuracy, science and effectiveness of medical rescue. From the point of view of disaster response, the disaster can be recombined and classified according to the characteristics of disaster medical rescue. In this paper, the traditional rough set model is extended, and a multi-decision attribute rough set model is designed, which adapts to the comprehensive characteristics of disaster medical rescue. Combining the characteristics of disaster rescue decision making, the paper designs and calculates the "disaster factor dependence degree" and "disaster rough membership degree". The genetic algorithm and the rough set conditional attribute reduction algorithm are combined organically. The disaster medical rescue knowledge system is reduced and the rules in the disaster medical rescue decision table are extracted effectively to provide more accurate data and model basis for disaster classification. Furthermore, due to the limited ability of traditional rough set to deal with continuous information, the fuzzy theory and rough set theory are combined organically. According to the degree of injury and rescue scheme in disaster, the membership function is designed. The fuzzy rough set model with multiple decision attributes is constructed. The genetic algorithm and the fuzzy rough set conditional attribute reduction algorithm are combined organically. The knowledge system is reduced and the decision rules in the fuzzy disaster decision table are extracted effectively. The model is optimized to get closer to reality. Based on the above model, the paper carries on the calculation and analysis of Wenchuan, Yushu, Lushan earthquake rescue cases and actual data. Finally, based on the above results, the suggestions of disaster classification based on disaster medical rescue and medical characteristics of earthquake rescue in China are sorted out, and the relevant measures and suggestions related to disaster medical rescue management in China are put forward systematically.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：R129

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4 彭s鈐，

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