Affiliation:
1. Professor, Khmelnitskiy National University
Abstract
Abstract
Adjustment of an unknown parameter of the multistage expert procedure is considered. The lower and upper boundaries of the parameter are counted to be known. A key condition showing that experts’ estimations are satisfactory in the current procedure is an inequality, in which the value based on the estimations is not greater than the parameter. The algorithms of hard and soft adjusting are developed. If the inequality is true and its both terms are too close for a long sequence of expert procedures, the adjusting can be early stopped. The algorithms are reversible, implying inversion to the reverse inequality and sliding up off the lower boundary.
Reference18 articles.
1. [1] T. Frantti and M. Majanen, “An expert system for real-time traffic management in wireless local area networks,” Expert Systems with Applicat., vol. 41, issue 10, pp. 4996–5008, Aug. 2014. https://doi.org/10.1016/j.eswa.2014.01.024
2. [2] J. Protasiewicz, W. Pedrycz, M. Kozłowski, S. Dadas, T. Stanisławek, A. Kopacz and M. Gałężewska, “A recommender system of reviewers and experts in reviewing problems,” Knowledge-Based Systems, vol. 106, pp. 164–178, 2016. https://doi.org/10.1016/j.knosys.2016.05.041
3. [3] Y. Zhou, N. Fenton and M. Neil, “Bayesian network approach to multinomial parameter learning using data and expert judgments,” Int. J. of Approximate Reasoning, vol. 55, issue 5, pp. 1252–1268, July 2014. https://doi.org/10.1016/j.ijar.2014.02.008
4. [4] G. Vessia, L. Pisano, C. Vennari, M. Rossi and M. Parise, “Mimic expert judgement through automated procedure for selecting rainfall events responsible for shallow landslide: A statistical approach to validation,” Computers & Geosciences, vol. 86, pp. 146–153, Jan. 2016. https://doi.org/10.1016/j.cageo.2015.10.015
5. [5] M. J. Kochenderfer, C. Amato, G. Chowdhary, J. P. How, H. J. Davison Reynolds, J. R. Thornton, P. A. Torres-Carrasquillo, N. K. Üre and J. Vian, Decision Making Under Uncertainty: Theory and Application. Cambridge, Massachusetts, London, England: The MIT Press, 2015.
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