Knowledge-based DSS for supporting ill-structured multiple criteria decisions

Ilyoo B. Hong, Doug Vogel, Jay F Nunamaker

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

2 Citations (Scopus)

Abstract

Focusing on qualitative reasoning processes as a key area of AI (aritifical intelligence) application for decision support, the authors propose an architecture for designing an intelligent DSS (decision-support system) that is intended to aid in MCDM (multiple-criteria decision-making) in ill-structured situations. An MCDM DSS, for its maximum contribution to organizational problem-solving, must be capable of lending effective support to high-level as well as low-level management decisions. A commercial loan approval judgement case is described to illustrate the real-world situation where decisions usually require a high degree of intuition and subjective judgment. Development of a prototype intended to partially represent application of the architecture is described. The authors conclude with suggestions for research extensions.

Original languageEnglish (US)
Title of host publicationProceedings of the Hawaii International Conference on System Science
Editors Anon
PublisherPubl by Western Periodicals Co
Pages229-240
Number of pages12
Volume3
ISBN (Print)0818619139
StatePublished - 1989
EventProceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences: Decision Support and Knowledge-Based Systems Track - Kailua-Kona, Hawaii, USA
Duration: Jan 3 1989Jan 6 1989

Other

OtherProceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences: Decision Support and Knowledge-Based Systems Track
CityKailua-Kona, Hawaii, USA
Period1/3/891/6/89

Fingerprint

Decision support systems
Decision making

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Hong, I. B., Vogel, D., & Nunamaker, J. F. (1989). Knowledge-based DSS for supporting ill-structured multiple criteria decisions. In Anon (Ed.), Proceedings of the Hawaii International Conference on System Science (Vol. 3, pp. 229-240). Publ by Western Periodicals Co.

Knowledge-based DSS for supporting ill-structured multiple criteria decisions. / Hong, Ilyoo B.; Vogel, Doug; Nunamaker, Jay F.

Proceedings of the Hawaii International Conference on System Science. ed. / Anon. Vol. 3 Publ by Western Periodicals Co, 1989. p. 229-240.

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

Hong, IB, Vogel, D & Nunamaker, JF 1989, Knowledge-based DSS for supporting ill-structured multiple criteria decisions. in Anon (ed.), Proceedings of the Hawaii International Conference on System Science. vol. 3, Publ by Western Periodicals Co, pp. 229-240, Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences: Decision Support and Knowledge-Based Systems Track, Kailua-Kona, Hawaii, USA, 1/3/89.
Hong IB, Vogel D, Nunamaker JF. Knowledge-based DSS for supporting ill-structured multiple criteria decisions. In Anon, editor, Proceedings of the Hawaii International Conference on System Science. Vol. 3. Publ by Western Periodicals Co. 1989. p. 229-240
Hong, Ilyoo B. ; Vogel, Doug ; Nunamaker, Jay F. / Knowledge-based DSS for supporting ill-structured multiple criteria decisions. Proceedings of the Hawaii International Conference on System Science. editor / Anon. Vol. 3 Publ by Western Periodicals Co, 1989. pp. 229-240
@inproceedings{05297047dba847afb871e89705a2af74,
title = "Knowledge-based DSS for supporting ill-structured multiple criteria decisions",
abstract = "Focusing on qualitative reasoning processes as a key area of AI (aritifical intelligence) application for decision support, the authors propose an architecture for designing an intelligent DSS (decision-support system) that is intended to aid in MCDM (multiple-criteria decision-making) in ill-structured situations. An MCDM DSS, for its maximum contribution to organizational problem-solving, must be capable of lending effective support to high-level as well as low-level management decisions. A commercial loan approval judgement case is described to illustrate the real-world situation where decisions usually require a high degree of intuition and subjective judgment. Development of a prototype intended to partially represent application of the architecture is described. The authors conclude with suggestions for research extensions.",
author = "Hong, {Ilyoo B.} and Doug Vogel and Nunamaker, {Jay F}",
year = "1989",
language = "English (US)",
isbn = "0818619139",
volume = "3",
pages = "229--240",
editor = "Anon",
booktitle = "Proceedings of the Hawaii International Conference on System Science",
publisher = "Publ by Western Periodicals Co",

}

TY - GEN

T1 - Knowledge-based DSS for supporting ill-structured multiple criteria decisions

AU - Hong, Ilyoo B.

AU - Vogel, Doug

AU - Nunamaker, Jay F

PY - 1989

Y1 - 1989

N2 - Focusing on qualitative reasoning processes as a key area of AI (aritifical intelligence) application for decision support, the authors propose an architecture for designing an intelligent DSS (decision-support system) that is intended to aid in MCDM (multiple-criteria decision-making) in ill-structured situations. An MCDM DSS, for its maximum contribution to organizational problem-solving, must be capable of lending effective support to high-level as well as low-level management decisions. A commercial loan approval judgement case is described to illustrate the real-world situation where decisions usually require a high degree of intuition and subjective judgment. Development of a prototype intended to partially represent application of the architecture is described. The authors conclude with suggestions for research extensions.

AB - Focusing on qualitative reasoning processes as a key area of AI (aritifical intelligence) application for decision support, the authors propose an architecture for designing an intelligent DSS (decision-support system) that is intended to aid in MCDM (multiple-criteria decision-making) in ill-structured situations. An MCDM DSS, for its maximum contribution to organizational problem-solving, must be capable of lending effective support to high-level as well as low-level management decisions. A commercial loan approval judgement case is described to illustrate the real-world situation where decisions usually require a high degree of intuition and subjective judgment. Development of a prototype intended to partially represent application of the architecture is described. The authors conclude with suggestions for research extensions.

UR - http://www.scopus.com/inward/record.url?scp=0024867101&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024867101&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0024867101

SN - 0818619139

VL - 3

SP - 229

EP - 240

BT - Proceedings of the Hawaii International Conference on System Science

A2 - Anon, null

PB - Publ by Western Periodicals Co

ER -