本文選題：永久基本農(nóng)田 + 數(shù)據(jù)自動(dòng)檢查　； 參考：《西南交通大學(xué)》2017年碩士論文

【摘要】：永久基本農(nóng)田內(nèi)業(yè)成果數(shù)據(jù)的質(zhì)量直接影響永久基本農(nóng)田的劃定質(zhì)量和劃定數(shù)量,決定了永久基本農(nóng)田數(shù)據(jù)庫的建設(shè)和管理的推進(jìn)速度。目前永久基本農(nóng)田數(shù)據(jù)存在數(shù)據(jù)與實(shí)際情況不符、現(xiàn)有數(shù)據(jù)描述不規(guī)范的情況;當(dāng)前的數(shù)據(jù)質(zhì)量評價(jià)方法不能很好的客觀反映數(shù)據(jù)質(zhì)量的真實(shí)情況。因此制定一套符合客觀實(shí)際的數(shù)據(jù)檢查和質(zhì)量評定方法具有重要的實(shí)踐意義。依托四川省資陽市的永久基本農(nóng)田劃定核實(shí)舉證數(shù)據(jù),本文深入分析數(shù)據(jù)質(zhì)量誤差來源,研究了當(dāng)前數(shù)據(jù)質(zhì)量檢查和質(zhì)量評價(jià)的方法及其特點(diǎn);探討將直覺模糊集值統(tǒng)計(jì)法應(yīng)用到質(zhì)量評價(jià)指標(biāo)元素的定權(quán)方法,將基于區(qū)間直覺模糊集理論的評價(jià)方法作為永久基本農(nóng)田劃定內(nèi)業(yè)數(shù)據(jù)質(zhì)量評價(jià)的方法。本文設(shè)計(jì)開發(fā)了永久基本農(nóng)田劃定內(nèi)業(yè)數(shù)據(jù)質(zhì)量檢查系統(tǒng),實(shí)現(xiàn)了數(shù)據(jù)質(zhì)量自動(dòng)檢查,提高了數(shù)據(jù)檢查效率;系統(tǒng)分別實(shí)現(xiàn)了權(quán)重改正的得分加權(quán)平均法和基于IIFWA算子的評價(jià)方法,通過兩種算法的分析比較驗(yàn)證方法的可靠性;實(shí)現(xiàn)了數(shù)據(jù)部分常見錯(cuò)誤的批量化修改功能,提高數(shù)據(jù)質(zhì)量并節(jié)約了人力;實(shí)現(xiàn)了檢查數(shù)據(jù)的屬性數(shù)據(jù)自動(dòng)導(dǎo)入數(shù)據(jù)庫功能,方便用戶對數(shù)據(jù)進(jìn)行分析、統(tǒng)計(jì)、查詢等工作。將四川省資陽市的永久基本農(nóng)田劃定核實(shí)舉證內(nèi)業(yè)數(shù)據(jù)導(dǎo)入系統(tǒng),對系統(tǒng)的各個(gè)功能進(jìn)行實(shí)驗(yàn)驗(yàn)證,驗(yàn)證結(jié)果表明:永久基本農(nóng)田劃定內(nèi)業(yè)數(shù)據(jù)質(zhì)量檢查系.統(tǒng)運(yùn)行正常,能夠高效的對數(shù)據(jù)進(jìn)行自動(dòng)檢查,基于IIFWA算子的數(shù)據(jù)質(zhì)量評價(jià)方法能夠客觀有效的的反映數(shù)據(jù)質(zhì)量情況。
[Abstract]:The quality of permanent basic farmland results directly affects the quality and quantity of permanent basic farmland, and determines the speed of construction and management of permanent basic farmland database. At present, the data of permanent basic farmland data is not consistent with the actual situation, the existing data description is not standardized, and the current data quality evaluation method can not reflect the true situation of the data quality. Therefore, it is of great practical significance to establish a set of data inspection and quality assessment methods that accord with the objective reality. Based on the proof data of permanent basic farmland delineation and verification in Ziyang City, Sichuan Province, this paper deeply analyzes the sources of data quality errors, and studies the methods and characteristics of current data quality inspection and quality evaluation. This paper discusses the weighted method of applying intuitionistic fuzzy set value statistics method to quality evaluation index elements, and takes the evaluation method based on interval intuitionistic fuzzy set theory as the method of evaluating the quality of permanent basic farmland delineation data. This paper designs and develops the data quality inspection system of permanent basic farmland delineation, realizes the automatic data quality inspection, and improves the efficiency of data inspection. The system realizes the weighted average method of weight correction and the evaluation method based on IIFWA operator respectively. The reliability of the method is verified by the analysis and comparison of the two algorithms, and the function of batch modification of some common errors in data is realized. It can improve the quality of data and save manpower, and realize the function of automatically importing attribute data into database, which is convenient for users to analyze, statistics and query the data. The data of permanent basic farmland delineation and verification in Ziyang City Sichuan Province were imported into the system and the functions of the system were verified experimentally. The results showed that: the quality inspection system of the data of permanent basic farmland delineation was carried out. The data quality evaluation method based on IIFWA operator can reflect the data quality situation objectively and effectively.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：S29

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