Group decision with inconsistent knowledge

Peijun Guo, Dao Zhi Zeng, Harunori Shishido

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

In this paper, dual exponential possibility distributions, namely, upper and lower exponential possibility distributions, are identified from the given data to characterize a decision-maker's knowledge. A decision group's knowledge can be represented by a set of such dual possibility distributions. The inherent diversity of knowledge among decision-makers is characterized by a conflict index. A conflict resolution model is proposed based on the conflict index, which integrates multiple possibility distributions identified into a new one to represent compromised knowledge of a decision group. As an application, a portfolio selection problem with multiple decision-makers is considered.

Original languageEnglish
Pages (from-to)670-679
Number of pages10
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
Volume32
Issue number6
DOIs
Publication statusPublished - 2002 Nov
Externally publishedYes

Keywords

  • Conflict analysis
  • Fuzzy sets
  • Group decision
  • Portfolio selection
  • Possibility theory

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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