Generating consensus priority point vectors: A logarithmic goal programming approach

Noel Kweku Muata Bryson, Anito Joseph

Research output: Contribution to journalArticle

66 Scopus citations

Abstract

The analytic hierarchy process (Saaty, The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, New York: McGraw-Hill 1980) is a popular technique for addressing multiple-criteria decision-making problems (MCDMs). Various techniques have been proposed for using the AHP in group situations. Fundamental to the AHP is the generation of priority point vectors from matrices of pairwise comparison data. In this paper, we present a logarithmic goal programming model for generating the 'consensus' priority point vector from the set of individual priority point vectors. Scope and purpose Within modern organizations, multiple-criteria decision-making problems (MCDMs) often occur within a group context, and individual priorities for decision alternatives must be synthesized into a single set of priorities which represents the consensus opinion for the group. This requires a process of aggregating individual priorities into a set of group priorities. In this paper, we examine the use of the analytic hierarchy process (AHP) MCDM technique for the group situation, and present an approach for aggregating individual priorities into a set of group 'consensus' priorities.

Original languageEnglish (US)
Pages (from-to)637-643
Number of pages7
JournalComputers and Operations Research
Volume26
Issue number6
DOIs
StatePublished - May 1 1999

Keywords

  • AHP
  • Goal programming
  • Group decision making
  • MCDM

ASJC Scopus subject areas

  • Computer Science(all)
  • Modeling and Simulation
  • Management Science and Operations Research

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