Effects of the Environmental Factors on Decision Consistency

Anett Rácz^1, and Tibor István Rácz²

¹Department of Applied Mathematics and Probability Theory, Faculty of Informatics, University of Debrecen, Debrecen, Hungary

²Department of Social Geography and Regional Development Planning, University of Debrecen, Debrecen, Hungary

Cite this paper:
Anett Rácz and Tibor István Rácz. Effects of the Environmental Factors on Decision Consistency. American Journal of Civil Engineering and Architecture. 2017; 5(2):51-56. doi: 10.12691/ajcea-5-2-4

Abstract

Responsible decisions are taken both in our everyday lives and in business processes of big enterprises. Decisions have an effect on our future, the efficiency of our work, our successes. There are decisions which need an especially substantial and persuasive decision process because taking them is complex problem or their consequences are important to us. In these cases the decision process is particularly important to be well-established and clear from the point of initialization to the point of defining the final solution. The most sensitive part of a decision process is the human factor, the inconsistency of the Decision Maker(s) (DMs). Hence we should pay due attention not only to developing the most appropriate algorithm but also to improving the intuitive efficiency of the DMs. The impact of internal factors on inconsistency like the type of the problem (subjective or objective), the size of the pairwise comparison matrix or the order of filling have been studied in several papers (i.e. [2,9]). However, the authors of these papers usually ignore the human factor of the decision process. We investigated what by what means and how we can enable the DMs to make the most consistent decision inspired by design.

Keywords:
Analytic Hierarchy Process interior design inconsistency Software Design and Development

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	Bozóki, S., Dezső, L., Poesz, A., Temesi, J., Analysis of pairwise comparison matrices: an empirical research, Annals of Operations Research, 211(1), 511-528. (2013).
[2]	Bozóki, S., Fülöp, J., Poesz, A. On pairwise comparison matrices that can be made consistent by the modification of a few elements, Central European Journal of Operations Research, 19(2), 157-175.
[3]	Clements-Croome, D. J., Creating the Productive Workplace, Taylor & Francis (2006).
[4]	Clements-Croome, D. J., Li, B., Productivity and indoor environment, Proceedings of Healthy buildings conference, Helsinki, University of Technology, 629-634. (2000).
[5]	Evans, R. et al. The Long Term Costs of Owning and Using Buildings, London: The Royal Academy of Engineering (1998).
[6]	Furr, R. M., Situational similarity and behavioral consistency: Subjective, objective, variable-centered, and person-centered approaches, Journal of Research in Personality 38, 421-447, (2004).
[7]	Krishnan, M. S., Kriebel, C. H., Kekre S., Mukhopadhyay, T., An Empirical Analysis of Productivity and Quality in Software Products, Management Science, 46(2), 745-759.
[8]	Macmillan, S., Designing Better Buildings, London: E & FN Spon. (2004).
[9]	Ross, R. T., Optimum orders for the presentation of pairs in the method of paired comparison, Journal of Eductional Phsychology, 25: 375-382. (2009).
[10]	Maulaa, H., Hongistoa, V., Koskelaa, H., Haapakangasa, A. The effect of cooling jet on work performance and comfort in warm office environment, Building and Environment, Vol. 104. 13-20, (2016).
[11]	Saaty, T.L., The Analytic Hierarchy Process, McGraw Hill, New York, USA, (1980).
[12]	Saaty, T. L., How to make a decision: The analytic hierarchy process, European Journal of Operational Research, 48(1), 9-26.
[13]	Siraj, S., Mikhailov, L. and Keane, J. A., PriEsT: an interactive decision support tool to estimate priorities from pairwise comparison judgments, Intl. Trans. in Op. Res., 22: 217-235.
[14]	Vischer, J. C., The effects of the physical environment on job performance: towards a theoretical model of workspace stress, Stress and Health, 23: 175-184.