Using quantiative information on the relative importance of criteria for decision making
type: Item
instance of: scholarly article
title: Using quantiative information on the relative importance of criteria for decision making
zbMATH Open document ID: 1029.90519
author: R. Smith
published in: Computational Mathematics and Mathematical Physics
publication date: 2004-02-04T00:00:00Z
review text: The authors consider a rather wide class of multicriteria problems satisfying two reasonable assumptions. The possibility of obtaining an upper estimate of the unknown set of optimal solutions is discussed in the case when a set of quantitative data on the relative importance of the criteria is available. Two approaches to obtaining such an estimate are suggested.
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90B50
zbMATH DE Number: 1779326
zbMATH Keywords: multicriteria problem
zbMATH Keywords: Pareto optimal solutions
zbMATH Keywords: relative importance of criteria
zbMATH Keywords: decision making
zbMATH Keywords: quantitative data
reviewed by: A. Tret'yakov
MaRDI profile type: Publication
Recommended article: Relative importance of criteria: a quantitative approach
Recommended article: Q3837759
Recommended article: Q4883196
Recommended article: Q4035068
Recommended article: On the use of information criteria in analytic hierarchy process
Recommended article: On importance indices in multicriteria decision making
Recommended article: The quantitative importance of criteria with a continuous first-order metric scale
Recommended article: Analytical decision rules using importance-ordered criteria with a scale of the first ordinal metric
Recommended article: The quantitative importance of criteria with discrete first-order metric scale
Recommended article: Criteria importance theory for multicriterial decision making problems with a hierarchical structure
description: scientific article; zbMATH DE number 1779326