@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",
series = "Proceedings of the Hawaii International Conference on System Science",
publisher = "Publ by Western Periodicals Co",
pages = "229--240",
editor = "Anon",
booktitle = "Proceedings of the Hawaii International Conference on System Science",
note = "Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences: Decision Support and Knowledge-Based Systems Track ; Conference date: 03-01-1989 Through 06-01-1989",
}