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A vector-dissimilarity-based approach for multi-criteria decision making
Department of Mining Engineering, Indian Institute of Technology.
Department of Mining Engineering, Indian Institute of Technology.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2013 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 4, no 3, p. 249-261Article in journal (Refereed) Published
Abstract [en]

Decision making in complex environments is influenced by a large number of conflicting and incommensurable factors. It is multidimensional and the influencing factors affect the decision process to varying degrees. The performance measurement of decision alternatives in multi-criteria decision making (MCDM) may be represented as a multidimensional vector in real space. The technique for order preference by similarity to ideal solution (TOPSIS) is a popular MCDM tool. However, sometimes this technique shows its inability to differentiate between decision alternatives. In this paper the limitations of TOPSIS are examined, and an improvement is suggested. The proposed new method uses the vector dissimilarity approach to remove the boundary restrictions and achieve greater sovereignty. The improved method has been demonstrated through a case study of maintenance design for dump trucks deployed in a large surface mine.

Place, publisher, year, edition, pages
2013. Vol. 4, no 3, p. 249-261
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-4268DOI: 10.1007/s13198-013-0187-0Scopus ID: 2-s2.0-84883494843Local ID: 2316865a-35d0-4114-80e6-2af622dbfe78OAI: oai:DiVA.org:ltu-4268DiVA, id: diva2:977132
Note
Validerad; 2013; 20130125 (aliahm)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Ahmadi, AlirezaKumar, Uday

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