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Multiple Criteria Decision Support Software

In: Multiple Criteria Decision Analysis: State of the Art Surveys

Author

Listed:
  • H. Roland Weistroffer

    (School of Business Virginia Commonwealth University)

  • Charles H. Smith

    (School of Business Virginia Commonwealth University)

  • Subhash C. Narula

    (School of Business Virginia Commonwealth University)

Abstract

We present an overview of the current state of multiple criteria decision-making (MCDM) decision support software. Many approaches have been proposed in the literature to solve multiple criteria decision-making problems, and there is an abundance of software that implements these approaches. Much of the software is still quasi-experimental, developed by academic researchers to test specific algorithms or to solve a specific problem on an ad hoc basis.

Suggested Citation

  • H. Roland Weistroffer & Charles H. Smith & Subhash C. Narula, 2005. "Multiple Criteria Decision Support Software," International Series in Operations Research & Management Science, in: Multiple Criteria Decision Analysis: State of the Art Surveys, chapter 0, pages 989-1009, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-23081-8_24
    DOI: 10.1007/0-387-23081-5_24
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    Citations

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    Cited by:

    1. Gojko Grubor & Ivan Barac & Nataša Simeunovic & Nenad Ristic, 2017. "Achieving Business Excellence by Optimizing Corporate Forensic Readiness," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(44), pages 197-197, February.
    2. Sébastien Bigaret & Richard E. Hodgett & Patrick Meyer & Tatiana Mironova & Alexandru-Liviu Olteanu, 2017. "Supporting the multi-criteria decision aiding process: R and the MCDA package," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 169-194, November.
    3. Cailloux, Olivier & Mayag, Brice & Meyer, Patrick & Mousseau, Vincent, 2013. "Operational tools to build a multicriteria territorial risk scale with multiple stakeholders," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 88-97.
    4. Josef Frysak & Edward W. N. Bernroider & Konradin Maier, 2017. "An Effort Feedback Perspective on Persuasive Decision Aids for Multi-Attribute Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 161-181, January.
    5. Veisi, Hadi & Deihimfard, Reza & Shahmohammadi, Alireza & Hydarzadeh, Yasoub, 2022. "Application of the analytic hierarchy process (AHP) in a multi-criteria selection of agricultural irrigation systems," Agricultural Water Management, Elsevier, vol. 267(C).

    More about this item

    Keywords

    DSS; MCDSS; software packages;
    All these keywords.

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