A new way using utility functions for multi-choice goal programming models

Ching Ter Chang, Zheng Yun Zhuang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This study proposes an idea of another way of using utility functions with multi-choice goal programming (MCGP) models. By examining the way the previous study is using utility function with MCGP, some drawbacks of such a way are examined. These drawbacks can mistakenly result in an incomplete representativeness of the original MCGP with utility functions model and thus lead to the inability of the model to appropriately assess and express the real preference structure of a decision maker. This study corrects the way utility functions are used with MCGP. Such a new way is validated by using it to express a decision maker preference structure pertaining to a goal, which underlies his/her real oral statements during decision making.

Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
PublisherNewswood Limited
Pages1141-1145
Number of pages5
Volume2203
ISBN (Print)9789881925268
Publication statusPublished - 2013
Externally publishedYes
EventInternational MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 - Kowloon, Hong Kong
Duration: Mar 13 2013Mar 15 2013

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2203
ISSN (Print)2078-0958

Conference

ConferenceInternational MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
Country/TerritoryHong Kong
CityKowloon
Period3/13/133/15/13

Keywords

  • Decision maker
  • Goal programming
  • Multi-choice goal programming
  • Preference structure
  • Utility function

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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