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The state of multiple criteria decision support software

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  • H. Roland Weistroffer
  • Subhash Narula

Abstract

Maturation of the field of operations research has resulted in giving more attention to providing direct support for the process of managerial decision making. The desire for models which more accurately reflect the real problems that need to be solved has led to the sub-field of multiple criteria decision making (MCDM). However, many multiple criteria decision making procedures proposed in the literature are not being applied in real decision problems to the extent one might expect. Developments in the field of information systems, previously known as data processing, have led to a shift in focus from automating business transactions to more directly supporting managerial decision making. Advances in informa-tion technology have made interactive and user-friendly decision support systems (DSS) feasible. In this paper we provide a survey of currently available DSSs that use MCDM methodology. The availability and increased awareness of these software packages may lead to improved utilization of MCDM methodology and further development of the software. Copyright Kluwer Academic Publishers 1997

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  • H. Roland Weistroffer & Subhash Narula, 1997. "The state of multiple criteria decision support software," Annals of Operations Research, Springer, vol. 72(0), pages 299-313, January.
    • Handle: RePEc:spr:annopr:v:72:y:1997:i:0:p:299-313:10.1023/a:1018956506912
    DOI: 10.1023/A:1018956506912
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    Cited by:

    1. Paul Hewson & Joyce Halliday & Alex Gibson & Sheena Asthana, 2016. "Policy analytics need more than a spreadsheet: a case study in funding formulae," Annals of Operations Research, Springer, vol. 236(1), pages 215-232, January.
    2. Paul Hewson & Joyce Halliday & Alex Gibson & Sheena Asthana, 2016. "Policy analytics need more than a spreadsheet: a case study in funding formulae," Annals of Operations Research, Springer, vol. 236(1), pages 215-232, January.
    3. Jie Wu & Liang Liang, 2012. "A multiple criteria ranking method based on game cross-evaluation approach," Annals of Operations Research, Springer, vol. 197(1), pages 191-200, August.
    4. Weistroffer, H. Roland & Wooldridge, Blue E. & Singh, Rahul, 1999. "A multi-criteria approach to local tax planning," Socio-Economic Planning Sciences, Elsevier, vol. 33(4), pages 301-315, December.

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