Industrial heritage identification process in North Africa: 19th and 20th century flour mills in Algeria

IF 1.1 Q4 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Abdelhamid Hati, A. Abdessemed-Foufa
{"title":"Industrial heritage identification process in North Africa: 19th and 20th century flour mills in Algeria","authors":"Abdelhamid Hati, A. Abdessemed-Foufa","doi":"10.1108/jchmsd-03-2022-0040","DOIUrl":null,"url":null,"abstract":"PurposeThe protection of industrial heritage emerged as a major concern when those buildings and installations representative of the industry, became at risk. North Africa, considered the geographical gateway to European countries, experienced enormous industrial activity during the French colonial era. Industrial buildings such as the flour mills, were built during this era of colonial rule. Today, a lack of legislation concerning industrial heritage has left this type of buildings with no protection, leading this paper to a preservation process. The aim of this paper is to locate and identify the flour mills of the 19th and 20th centuries in Algeria.Design/methodology/approachThis research consists of cross-referencing data from archived documents against the geographical location.FindingsThe results obtained are the first step in the process of preservation. The success of this research can be summarized as follows: identification of 88.46% of the flour mills in Algeria by means of the inventory data collected, and their location, with the use of a crisp logic, the remaining 9.62% with the use of fuzzy logic by the attribution of a “fuzzy radius” with a total localization and identification of 98.08%.Originality/valueThe use of both crisp (Boolean) and fuzzy logic as part of the geographical localization method.","PeriodicalId":45408,"journal":{"name":"Journal of Cultural Heritage Management and Sustainable Development","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cultural Heritage Management and Sustainable Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jchmsd-03-2022-0040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

PurposeThe protection of industrial heritage emerged as a major concern when those buildings and installations representative of the industry, became at risk. North Africa, considered the geographical gateway to European countries, experienced enormous industrial activity during the French colonial era. Industrial buildings such as the flour mills, were built during this era of colonial rule. Today, a lack of legislation concerning industrial heritage has left this type of buildings with no protection, leading this paper to a preservation process. The aim of this paper is to locate and identify the flour mills of the 19th and 20th centuries in Algeria.Design/methodology/approachThis research consists of cross-referencing data from archived documents against the geographical location.FindingsThe results obtained are the first step in the process of preservation. The success of this research can be summarized as follows: identification of 88.46% of the flour mills in Algeria by means of the inventory data collected, and their location, with the use of a crisp logic, the remaining 9.62% with the use of fuzzy logic by the attribution of a “fuzzy radius” with a total localization and identification of 98.08%.Originality/valueThe use of both crisp (Boolean) and fuzzy logic as part of the geographical localization method.
北非的工业遗产鉴定过程:阿尔及利亚19世纪和20世纪的面粉厂
目的当那些代表工业的建筑和装置面临风险时,工业遗产的保护成为一个主要问题。北非被认为是通往欧洲国家的地理门户,在法国殖民时代经历了巨大的工业活动。像面粉厂这样的工业建筑是在殖民统治时期建造的。如今,由于缺乏有关工业遗产的立法,这类建筑得不到保护,因此本文进入了保护过程。本文的目的是定位和识别阿尔及利亚19世纪和20世纪的面粉厂。设计/方法/方法这项研究包括根据地理位置交叉引用存档文件中的数据。发现所获得的结果是保存过程中的第一步。这项研究的成功可以总结如下:通过收集的库存数据,使用清晰的逻辑,识别了阿尔及利亚88.46%的面粉厂及其位置,剩余的9.62%通过使用模糊逻辑归因于“模糊半径”,总定位和识别率为98.08%。独创性/价值使用清晰(布尔)和模糊逻辑作为地理定位方法的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.90
自引率
10.00%
发文量
63
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信