ASSESSMENT OF INDUSTRIAL SOLID WASTE USING THE INTELLIGENT DECISION SYSTEM (IDS) METHOD

被引:8
|
作者
Abed-Elmdoust, Armaghan [1 ]
Kerachian, Reza [2 ,3 ]
机构
[1] Univ Cent Florida, Civil Environm & Construct Dept, Orlando, FL 32816 USA
[2] Univ Tehran, Coll Engn, Sch Civil Engn, Tehran, Iran
[3] Univ Tehran, Coll Engn, Ctr Excellence Engn & Management Civil Infrastruc, Tehran, Iran
来源
关键词
Evidential Reasoning Approach; Industrial Solid Waste Assessment; Intelligent Decision System; Khuzestan Province; Multiple-Criteria-Decision-Making (MCDM); EVIDENTIAL REASONING APPROACH; MANAGEMENT; UNCERTAINTY; SAFETY;
D O I
10.30638/eemj.2016.191
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
About 1800 tons of daily solid waste disposal is one of the consequences of the speedy industrial expansion in the province of Khuzestan in the south west of Iran. There are more often than not diverse criteria for assessing the resulted pollution loads from solid waste disposal. In this paper, a new application for the Intelligent Decision System (IDS) is demonstrated for industrial solid waste assessment. IDS software is a Windows-based package for handling Multiple Criteria Decision Making (MCDM) problems considering both qualitative and quantitative criteria under uncertainties. The basis of IDS is a recently developed theory named the Evidential Reasoning ( ER) approach. The major features, superiority and excellence of IDS will be clarified through its application to the ranking of the industrial units located in the Khuzestan Province. Moreover, as a complimentary assessment, a sensitivity analysis is carried out in which the effect of decision maker's attitude toward risk on the total utility which each industry would gain is investigated. The results show that Ahwaz, Abadan, and Khoramshahr are respectively the three most polluting cities in the Khuzestan province. It is concluded that IDS can be utilized not only to handle problems which traditional methods can work out, but also to arrange and evaluate more difficult decision problems that traditional methods are not sufficiently expert of handling.
引用
收藏
页码:1789 / 1800
页数:12
相关论文
共 50 条
  • [31] Integrated approach to the decision of the problem of using solid everyday waste
    M.M.Tretyakov
    Journal of Harbin Institute of Technology, 2000, (S1) : 126 - 128
  • [32] Development of an Intelligent Decision Support System for Electrical Equipment Diagnostics at Industrial Facilities
    Kolodenkova, Anna E.
    Vereshchagina, Svetlana S.
    Muntyan, Evgenia R.
    PROCEEDINGS OF THE FOURTH INTERNATIONAL SCIENTIFIC CONFERENCE INTELLIGENT INFORMATION TECHNOLOGIES FOR INDUSTRY (IITI'19), 2020, 1156 : 225 - 233
  • [33] Decision Support System for Selection and Assessment of Solid Waste Processing Technology from Oil Palm Industry using Analytical Hierarchy Process (AHP)
    Ishak, Aulia
    bin Ali, Amir Yazid
    Budin, Salina
    Ginting, Rosnani
    2ND INTERNATIONAL CONFERENCE ON INDUSTRIAL AND MANUFACTURING ENGINEERING (ICI&ME 2020), 2020, 1003
  • [34] A Novel IDS Securing Industrial Control System of Critical Infrastructure Using Deception Technology
    Zhang, Shaobo
    Liu, Yuhang
    Yang, Dequan
    INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS, 2022, 14 (02)
  • [35] Intelligent solid waste classification using deep convolutional neural networks
    Altikat, A.
    Gulbe, A.
    Altikat, S.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2022, 19 (03) : 1285 - 1292
  • [36] Intelligent solid waste classification using deep convolutional neural networks
    A. Altikat
    A. Gulbe
    S. Altikat
    International Journal of Environmental Science and Technology, 2022, 19 : 1285 - 1292
  • [37] An efficient intelligent decision method for bionic motion unmanned system
    Chen, Haipeng
    Fu, Wenxing
    Feng, Yuze
    Long, Jia
    Chen, Kang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2022, 236 (04) : 683 - 695
  • [38] A coupling system design based on the internet of tings and intelligent decision support system in industrial enterprises
    Wan, Huimin
    Liao, Liankai
    2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE), 2016, : 753 - 757
  • [39] Study on Environmental Risk Assessment and Management Methods for the Recycle of Industrial Solid Waste
    Yang, Shuo
    Guo, Huiting
    Wang, Xiuteng
    5TH ANNUAL INTERNATIONAL CONFERENCE ON MATERIAL ENGINEERING AND APPLICATION (ICMEA 2018), 2019, 484
  • [40] Assessment of inorganic solid waste management techniques using full consistency and extended MABAC method
    Narayanamoorthy, Samayan
    Anuja, Arumugam
    Pragathi, Subramaniam
    Sandra, Michael
    Ferrara, Massimiliano
    Ahmadian, Ali
    Kang, Daekook
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (07) : 9981 - 9991