Abstract
Hazardous and toxic industrial wastes may cause or significantly contribute to extensive damage to both humans and the environment when improperly handled. Evaluation of the proper and most appropriate hazardous industrial waste transportation firm is an important problem for hazardous waste generators. In general, many factors affect the appropriate hazardous industrial waste transportation firm selection problem which adheres to uncertain and imprecise data, and usually several people from different functional areas of the company are involved in this process. In this paper, an improved and more effective hazardous industrial waste transportation firm selection model has been developed through integrating VIKOR method with fuzzy set theory. A numerical example is proposed to illustrate an application of the proposed model.
| Original language | English |
|---|---|
| Pages (from-to) | 40-58 |
| Number of pages | 19 |
| Journal | International Journal of Data Analysis Techniques and Strategies |
| Volume | 7 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2015 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:Copyright © 2014 Inderscience Enterprises Ltd.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Keywords
- Delphi method
- Fuzzy set
- Hazardous industrial waste
- MCDM
- Multicriteria decision making
- VIKOR method
ASJC Scopus subject areas
- Information Systems
- Information Systems and Management
- Applied Mathematics
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