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  1. 学位論文
  2. 博士論文
  3. 学位授与年月日:2016.03.25

Application of Crowdsourcing and Multi-Agent Systems to Logistics and Finances

http://hdl.handle.net/10212/2313
http://hdl.handle.net/10212/2313
4b5d9335-b2b5-49ce-89b8-8c099d5aca49
名前 / ファイル ライセンス アクション
D1-0787_y1.pdf 内容の要約 (128.7 KB)
D1-0787.pdf 内容・審査結果の要旨 (288.5 KB)
Item type 学位論文 / Thesis or Dissertation(1)
公開日 2017-09-01
タイトル
タイトル Application of Crowdsourcing and Multi-Agent Systems to Logistics and Finances
言語 en
その他のタイトル
その他のタイトル 物流や金融へのクラウドソーシングとマルチエージェントシステムの応用
言語 ja
作成者 ハサノフ, トフィグ

× ハサノフ, トフィグ

en HASANOV, TOFIG

ja ハサノフ, トフィグ

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
主題
言語 en
主題Scheme Other
主題 Multi-Agent Systems
主題
言語 en
主題Scheme Other
主題 Crowdsourcing
主題
言語 en
主題Scheme Other
主題 Microcredits
主題
言語 en
主題Scheme Other
主題 Car Navigation
内容記述
内容記述タイプ Abstract
内容記述 As the real world problems become more complex and dynamic, industry looks for ways to shift from rigid centralized control models to more flexible and dynamic ones. Distributed problem-solving has become a common approach for solving many types of tasks, including logistics, data mining, finances and management. Both crowdsourcing and multi-agent systems are relatively recently emerged models for distributed problem-solving. Multi-agent systems based models are usually characterized by high fault-tolerance, good adaptability to changes and efficient resource management. Such models are particularly useful for control of large number of relatively independent but interconnected entities as is in the case of logistics, for example. The model of logic based multi-agent systems is described in the thesis. This model has demonstrated good results in a simulated experiment of cleaning robot in a smart house. This model acts as a basis of the real world applications of multi-agent systems in the other experiments describes in the thesis. Crowdsourcing on the other hand allows us to utilize human evaluation for tasks in which machine judgement is inefficient or there is not enough data for efficient machine learning. Such tasks include evaluation of people opinions, text mining, and image processing. This thesis describes several applications of multi-agent systems and crowdsourcing to real industry tasks in the areas of logistics and finances. Particularly, application of multi-agent system and crowdsourcing to map update in context of taxi navigation is described. In the experiment conducted in Azerbaijan 80 taxi drivers were using proposed system for several months. Experiment has shown that the distance per client and time per client parameters were improved by 7.42% and 15.3% respectively compared to the standard navigation system. This thesis also describes application of crowdsourcing to risk assessment of microcredits, a financial service that is rapidly gaining popularity in many developing countries. Crowdsourcing in this context is used to evaluate clients’ data using social networks. Experiment was conducted in Azerbaijan using 400 people’s social accounts data. The results demonstrate that such system is capable of giving correct predictions in 90.1% of cases, with 20% false positives and 5.9% false negatives.
言語 en
日付
日付 2016-03-25
日付タイプ Issued
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_db06
資源タイプ doctoral thesis
学位授与番号
学位授与番号 甲第787号
学位名
言語 ja
学位名 博士(工学)
学位授与年月日
学位授与年月日 2016-03-25
学位授与機関
学位授与機関識別子Scheme kakenhi
学位授与機関識別子 14303
言語 ja
学位授与機関名 京都工芸繊維大学
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