支持结构不良的多标准决策的基于知识的决策支持系统

[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track Pub Date : 1989-01-03 DOI:10.1109/HICSS.1989.49246

Ilyoo B. Hong, Douglas R. Vogel, J. Nunamaker

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引用次数: 1

摘要

将定性推理过程作为人工智能应用于决策支持的关键领域，作者提出了一种用于设计智能决策支持系统的体系结构，该体系结构旨在帮助在结构不良的情况下进行多标准决策。MCDM发展支助事务为了最大限度地帮助组织解决问题，必须能够有效地支持高级别和低级别管理决策。本文描述了一个商业贷款审批判断案例，以说明决策通常需要高度直觉和主观判断的现实情况。描述了用于部分表示体系结构应用的原型的开发。最后，作者提出了进一步研究的建议

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A knowledge-based DSS for supporting ill-structured multiple criteria decisions

Focusing on qualitative reasoning processes as a key area of A1 (artificial 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 judgement. Development of a prototype intended to partially represent application of the architecture is described. The authors conclude with suggestions for research extensions.<>

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[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track

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