Theory and Decision

, Volume 49, Issue 2, pp 127–150

Decision Making in `Random in a Broad Sense' Environments

Authors

  • V.I. Ivanenko
    • Kiev Polytechnic Institute
    • Ecole Normale Supérieure
  • B. Munier
    • Kiev Polytechnic Institute
    • Ecole Normale Supérieure
Article

DOI: 10.1023/A:1005262832464

Cite this article as:
Ivanenko, V. & Munier, B. Theory and Decision (2000) 49: 127. doi:10.1023/A:1005262832464

Abstract

It is shown that the uncertainty connected with a `random in a broad sense' (not necessarily stochastic) event always has some `statistical regularity' (SR) in the form of a family of finite-additive probability distributions. The specific principle of guaranteed result in decision making is introduced. It is shown that observing this principle of guaranteed result leads to determine the one optimality criterion corresponding to a decision system with a given `statistical regularity'.

UncertaintyRandom in a broad sense phenomenaStatistical regularityPrinciple of guaranteed resultOptimality criterion choice

Copyright information

© Kluwer Academic Publishers 2000