Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Intelligent Decision Making Using Soft Computing

Authors
Ronald R. Yager1
1Machine Intelligence Institute
Available Online October 2007.
DOI
10.2991/iske.2007.286How to use a DOI?
Abstract

Intelligent decision making requires one to contend with a number of difficult aspects. The need to satisfy multiple criteria in selecting a solution is pervasive in many real world decision problems. An additional feature that must be addressed is the uncertainty and riskiness due to our lack of complete knowledge of the future and the effects of our actions. Further compounding the decision making environment is the need to take into account the effects of the actions of other agents who may being working in an adversarial way. Another important requirement in intelligent decision making is the ability to model the preferences of the responsible decision maker. During this talk we shall describe some of the tools that fuzzy sets and other soft computing technologies can bring to bear on this problem. Here we shall particularly focus on the issue of multi-criteria.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
10.2991/iske.2007.286How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ronald R. Yager
PY  - 2007/10
DA  - 2007/10
TI  - Intelligent Decision Making Using Soft Computing
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1662
EP  - 1662
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.286
DO  - 10.2991/iske.2007.286
ID  - Yager2007/10
ER  -