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Objectivity and subjectivity in thedecision making process

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  • John T. Buchanan
  • Erez J. Henig
  • Mordecai I. Henig

Abstract

Classical Operations Research assumed objectivity. Operations researchers hardly botheredto ask the decision maker about his or her preferences, assuming that a well-defined singleobjective function was an adequate representation of the decision problem. Many multi-criteriadecision methods began in response to this failure of Operations Research. Othermethods took a totally different and more subjective point of view. In this paper, we discussobjective and subjective descriptions, their interpretation and use in decision making. In thecenter of the ability to distinguish between these objective and subjective components standscientific methods and scientists. We argue that it is possible and necessary to understandwhere and how objective measures should be replaced by subjective measures and judgementin the decision making process. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • John T. Buchanan & Erez J. Henig & Mordecai I. Henig, 1998. "Objectivity and subjectivity in thedecision making process," Annals of Operations Research, Springer, vol. 80(0), pages 333-345, January.
    • Handle: RePEc:spr:annopr:v:80:y:1998:i:0:p:333-345:10.1023/a:1018980318183
    DOI: 10.1023/A:1018980318183
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    Cited by:

    1. António Osório, 2017. "Judgement and ranking: living with hidden bias," Annals of Operations Research, Springer, vol. 253(1), pages 501-518, June.
    2. Mortenson, Michael J. & Doherty, Neil F. & Robinson, Stewart, 2015. "Operational research from Taylorism to Terabytes: A research agenda for the analytics age," European Journal of Operational Research, Elsevier, vol. 241(3), pages 583-595.
    3. Osório, António (António Miguel), 2016. "Judgement and Ranking: Living with Hidden Bias," Working Papers 2072/267264, Universitat Rovira i Virgili, Department of Economics.
    4. Alina Cristea, 2015. "HOW WE CAN RESTORE THE BALANCE IN THE ROMANIAN ENERGY MARKET (International Conference "Recent Advances in Economic and Social Research", 13-14 mai 2015, București)," Institute for Economic Forecasting Conference Proceedings 151201, Institute for Economic Forecasting.
    5. Amy Poh Ai Ling & Mohamad Nasir Saludin & Masao Mukaidono, 2012. "Deriving consensus rankings via multicriteria decision making methodology," Papers 1201.1604, arXiv.org.
    6. Robert A. Dees & Matthew F. Dabkowski & Gregory S. Parnell, 2010. "Decision-Focused Transformation of Additive Value Models to Improve Communication," Decision Analysis, INFORMS, vol. 7(2), pages 172-184, June.
    7. Lorenz Kammermann & Karin Ingold, 2019. "Going beyond technocratic and democratic principles: stakeholder acceptance of instruments in Swiss energy policy," Policy Sciences, Springer;Society of Policy Sciences, vol. 52(1), pages 43-65, March.
    8. Paweł Ziemba & Marek Kannchen & Mariusz Borawski, 2024. "Selection of the Family Electric Car Based on Objective and Subjective Criteria—Analysis of a Case Study of Polish Consumers," Energies, MDPI, vol. 17(6), pages 1-27, March.
    9. Alexis Tsoukiàs, 2007. "On the concept of decision aiding process: an operational perspective," Annals of Operations Research, Springer, vol. 154(1), pages 3-27, October.

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