發(fā)布時(shí)間：2018-01-04 15:39

  本文關(guān)鍵詞：室內(nèi)照明評價(jià)中的數(shù)學(xué)建模方法研究　出處：《蘇州科技大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 智能照明 模糊綜合評價(jià) 云模型 數(shù)學(xué)建模方法

【摘要】：隨著人類文明的進(jìn)步,社會(huì)的發(fā)展,人們對自己生活的質(zhì)量水平越來越重視,由于現(xiàn)代都市人大多數(shù)時(shí)間是在室內(nèi)度過的,因此室內(nèi)照明質(zhì)量成為了越來越多人們關(guān)注的焦點(diǎn)。目前,國內(nèi)外學(xué)者對室內(nèi)照明質(zhì)量的評價(jià)方法的研究發(fā)展十分迅速。其中最為常見的幾種室內(nèi)照明質(zhì)量評價(jià)方法包括主觀評價(jià)法、因素分析法、行為觀察法以及基于模糊綜合評價(jià)法。針對上述方法中存在的主觀性太強(qiáng)、評價(jià)過程中概念界限不明確的現(xiàn)象,本文采用將確定的隸屬函數(shù)和模糊綜合評價(jià)方法相結(jié)合,解決了原有隸屬度確定過程中人為的確定主觀性太強(qiáng)的缺陷。針對以往評價(jià)模型中模糊性和隨機(jī)描述較為困難,同時(shí)對評價(jià)結(jié)果描述不精細(xì)、不準(zhǔn)確等問題,本文將云模型引入模糊綜合評價(jià)中,建立了基于云模型的模糊綜合評價(jià)模型,通過期望、熵和超熵對評價(jià)過程中的隨機(jī)性和模糊性進(jìn)行量化描述,并將評價(jià)結(jié)果表示方法由點(diǎn)擴(kuò)展到區(qū)間,使得評價(jià)結(jié)果的描述更客觀、更精細(xì)化,從而為室內(nèi)照明質(zhì)量評價(jià)提供了新的數(shù)學(xué)建模方法。在本文中,還將上述兩種評價(jià)方法分別應(yīng)用到了蘇州科技大學(xué)某教室內(nèi)的照明質(zhì)量中,通過進(jìn)行實(shí)例驗(yàn)證發(fā)現(xiàn)上述評價(jià)方法的有效性。改進(jìn)后的模糊綜合評價(jià)模型因?yàn)檫x用了具體的隸屬度函數(shù)從而使評價(jià)結(jié)果相比較于以往的人為的主觀選擇隸屬度的方法更具有客觀性,使得評價(jià)結(jié)果更具有說服力;而基于云模型的模糊綜合評價(jià)方法,由于通過計(jì)算熵和超熵對評價(jià)結(jié)果的不確定范圍及不確定程度進(jìn)行了生動(dòng)形象的表達(dá)和展現(xiàn),使得最終的評價(jià)結(jié)果更加精細(xì),同時(shí),通過實(shí)例驗(yàn)證以及對驗(yàn)證后的結(jié)果進(jìn)行MATLAB仿真,從圖像中更加直觀的展現(xiàn)了室內(nèi)照明質(zhì)量的真實(shí)情況.并由結(jié)果驗(yàn)證了上述方法的普適性。
[Abstract]:With the progress of human civilization and the development of society, people pay more and more attention to the quality of their lives, because most of the time of modern urban people is spent indoors. Therefore, the quality of indoor lighting has become the focus of more and more people. Domestic and foreign scholars of indoor lighting quality evaluation method research and development is very rapid. The most common indoor lighting quality evaluation methods include subjective evaluation method, factor analysis method. Behavior observation method and fuzzy comprehensive evaluation method. Aiming at the phenomenon that the subjectivity in the above methods is too strong and the concept boundary is not clear in the evaluation process. This paper combines the determined membership function with the fuzzy comprehensive evaluation method. It solves the defects that the subjective determination of the original membership degree is too subjective. It is difficult to describe the fuzzy and random evaluation model in the past. At the same time, the evaluation results are not precise and accurate. In this paper, the cloud model is introduced into the fuzzy comprehensive evaluation, and the fuzzy comprehensive evaluation model based on the cloud model is established. The randomness and fuzziness of the evaluation process are quantitatively described by expectation, entropy and hyperentropy. And the evaluation result representation method is extended from the point to the interval, which makes the description of evaluation results more objective and more refined, thus providing a new mathematical modeling method for indoor lighting quality evaluation. The above two evaluation methods are applied to the lighting quality in a classroom of Suzhou University of Science and Technology. The effectiveness of the above evaluation method is verified by a practical example. The improved fuzzy comprehensive evaluation model makes the evaluation result compare with the previous subjective selection of membership degree because of the selection of specific membership function. Is more objective. Make the evaluation results more convincing; The fuzzy comprehensive evaluation method based on cloud model is vividly expressed and displayed by calculating entropy and hyperentropy to the uncertain range and degree of uncertainty of evaluation results. Make the final evaluation results more refined, at the same time, through an example to verify and verify the results of the MATLAB simulation. The real situation of indoor lighting quality is shown more intuitively from the image, and the universality of the above method is verified by the results.
【學(xué)位授予單位】：蘇州科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：O159
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本文編號：1379023